DL SEMINARS

Deep Learning技術は、他の分野では例を見ないスピードで世界的に研究が進められています。

このような状況の下、DL Seminarsは、最先端の研究動向の調査を目的とし、論文の輪読会を毎週開催しております。

Diffusion Papers 2024

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

One Diffusion to Generate Them All

Generator Matching: Generative modeling with arbitrary Markov processes

“Classifier-FreeGuidance is a Predictor-Corrector”

2024/07/02

Guiding a Diffusion Model with a Bad Version of Itself

Compositional Visual Generation with Composable Diffusion Models

2024/07/02

A Unified Approach for Text- and Image-guided 4D Scene Generation

2024/06/25

拡散モデルのサンプラーまとめ

2024/06/25

TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings

2024/10/30

OmniGen: Unified Image Generation

2024/06/18

Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task

2024/06/04

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

2024/05/21

CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Guiding a Diffusion Model with a Bad Version of Itself

2024/05/14

DiffusionModelによる画像編集

2024/05/14

Diffusion Models for Non-autoregressive Text Generation: A Survey

Diffusion Bridge Models

2024/05/14

Adding Conditional Control toText-to-Image Diffusion Models

2024/04/30

拡散モデルの数理

2024/04/23

diffusion policyとそのnavigation応用

2024/04/16

Denoising Diffusion Implicit Models

Prompt-guided PreciseAudio Editing with Diffusion Models [1]

2024/04/09

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models

Scaling Diffusion Transformers to 16 Billion Parameters

2024/07/23

Scaling-Diffusion-Transformers-to-16-Billion-Parameters

2024/04/09

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

2024/03/19

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

CADS: Unleashing the diversity of diffusion models through condition-annealed sampling

Diffusion Forcing: Next-token Prediction Meets Full- Sequence Diffusion

2024/03/26

Improved Denoising Diffusion Probabilistic Models

2024/03/12

Introduction to Diffusion Models

DL Papers 2026

2026/10/15

Harness Evolution, Recursive Self-Improvement

2026/07/30

Agent Learning via Early Experience

2026/07/30

Native Video-Action Pretraining for Generalizable Robot Control

2026/07/30

Multi²: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments

2026/07/23

Humans and transformer LMs: Abstraction drives language learning

2026/07/23

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

2026/07/23

Learning Latent Action World Models In The Wild

2026/07/09

Verbalizable Representations Form a Global Workspace in Language Models

2026/07/09

ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning

2026/07/09

TRINITY: An Evolved LLM Coordinator

2026/07/02

Looped World Models

2026/07/02

Learning to Theorize the World from Observation

2026/07/02

LaST₀: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model

2026/06/18

Improving Robotic Generalist Policies via Flow Reversal Steering

2026/06/18

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

2026/06/18

SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation

2026/06/04

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

2026/06/04

The Topological Trouble With Transform

2026/05/28

A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens | alphaXiv

2026/05/28

Flow-OPD: On-Policy Distillation for Flow Matching Models

2026/05/28

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

2026/05/14

MolmoAct2: Action Reasoning Models for Real-World Deployment

2026/05/14

Geometry-aware 4D Video Generation for Robot Manipulation

2026/05/07

Attention Residuals

2026/05/07

WEBROUTER: QUERY-SPECIFIC ROUTER VIA VARIATIONAL INFORMATION BOTTLENECK FOR COST-SENSITIVE WEB AGENT

WorldMark: A Unified Benchmark Suite for Interactive Video World Models

Latent Visual Reasoning

2026/04/30

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

PlayWorld: Learning Robot World Models from Autonomous Play

2026/04/23

π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

元論文π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities" target="_blank">元論文

2026/04/23

SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation

2026/04/09

Shaping Shared Languages: Human and Large Language Models’ Inductive Biases in Emergent Communication

2026/04/09

Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?

2026/03/26

World Action Models

2026/03/26

Learning a Thousand Tasks in a Day

2026/03/26

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning

2026/03/26

Seeing without Pixels: Perception from Camera Trajectories, CVPR 2026

2026/03/19

Building a Multiplayer Video World Model in Minecraft

2026/03/19

A Step Toward World Models: A Survey on Robotic Manipulation

2026/03/05

Synthetic continued pretraining

2026/03/05

Who Reasons in the Large Language Models?

<a href="

【DL輪読会】Who Reasons in the Large Language Models？ by @DeepLearning2023

" target="_blank">元論文

2026/03/05

Unified Latents

2026/02/26

Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

2026/02/26

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

2026/02/12

“Ctrl-World: A Controllable Generative World Model for Robot Manipulation”

2026/02/12

“COSMOS POLICY: FINE-TUNING VIDEO MODELS FOR VISUOMOTOR CONTROL AND PLANNING”

2026/02/12

AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model’s Quantization

2026/02/05

mHC: Manifold-Constrained Hyper-Connections

2026/02/05

Reasoning Models Generate Societies of Thought

2026/02/05

Self-Adapting Language Models(SEAL)

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

SOP: A Scalable Online Post-Training System for Vision-Language-Action Models

Data Retrieval with Importance Weights for Few-Shot Imitation Learning

2026/01/15

Controlling Large Language Model with Latent Actions

2026/01/15

Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study

2026/01/15

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory

2026/01/08

Pruning as a Game: Equilibrium-Driven Sparsification of Neural Networks

2026/01/08

Pre-Trained Video Generative Models as World Simulators

2026/01/08

NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering

2026/01/07

Dreamer 4: Training Agents Inside of Scalable World Models

DL Papers 2025

2025/12/18

Self-Improving VLM Judges Without Human Annotation

2025/12/18

Self-Improving VLM Judges Without Human Annotation

2025/12/11

“ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS”

2025/12/11

Next-Latent Prediction Transformers Learn Compact World Models

2025/12/11

Training-Free Activation Sparsity in Large Language Models

2025/11/27

Mixture of Contexts for Long Video Generation

2025/11/27

World-in-World: World Models in a Closed-Loop World

2025/10/30

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

2025/10/30

Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training

2025/10/30

Gradient Estimation with Discrete Stein Operators

2025/11/06

Reversible Deep Equilibrium Models

2025/11/06

GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs – ACL Anthology

2025/11/06

DeepSeek-OCR: Contexts Optical Compression

2025/10/09

Subtask-Aware Visual Reward Learning from Segmented Demonstrations

2025/10/02

Large Language Models With Contrastive Decoding

2025/10/02

TaskBench: Benchmarking Large Language Models for Task Automation

2025/10/02

Robust Function-Calling for On-Device Language Model via Function Masking

2025/09/25

Deep Researcher with Test-Time Diffusion

2025/09/25

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

2025/09/25

Between Circuits and Chomsky: Pre- pretraining on Formal Languages Imparts Linguistic Bias

2025/09/18

Energy-Based Transformers are Scalable Learners and Thinkers

2025/09/18

“SmolVLA” A vision-language-action model for affordable and efficient robotics

2025/09/18

Instruction Tuning With Loss Over Instructions

TaskBench: Benchmarking Large Language Models for Task Automation

Learning to Reason without External Rewards

VisionZip: Longer is Better but Not Necessary in Vision Language Models [S. Yang+CVPR’25]

2025/07/31

Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

2025/07/31

Novelty Detection in Reinforcement Learning withWorld Models

2025/07/31

Programmatic Video Prediction Using Large Language Models

2025/07/24

WoMAP: World Models For Embodied Open-Vocabulary Object Localization

2025/07/24

Unified Vision-Language-Action Models (arXiv, 2025)

2025/07/24

From Foresight to Forethought: VLM-In-The-Loop Policy Steering via Latent Alignment

2025/07/17

SAFECHAIN: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities

2025/07/17

Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses

2025/07/17

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

2025/07/03

Open-World Reinforcement Learning over Long Short-Term Imagination

2025/07/03

Learning Transformer-based World Models with Contrastive Predictive Coding

2025/06/26

Learning from video: how to leverage the no-action label video data

2025/06/26

Real-Time Execution of Action Chunking Flow Policies

2025/06/26

DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

2025/06/26

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

2025/06/19

Titans: Learning to Memorize at Test Time

2025/06/19

Towards Understanding How Knowledge Evolves in Large Vision-Language Models

2025/06/19

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations

2025/06/05

From task structures to world models: what do LLMs know?

2025/06/05

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation

2025/05/22

Comparison of Vision-Language-Action Models: Pi0, Pi0.5, and Gemini Robotics

2025/05/22

Training Strategies for Efficient Embodied Reasoning

2025/05/22

Improving Vision-Language-Action Model with Online Reinforcement Learning

Is Noise Conditioning Necessary for Denoising Generative Models

2025/05/08

Backtracking Improves Generation Safety

2025/05/08

MMQA: Evaluating LLMs with Multi-Table Multi- Hop Complex Questions

2025/05/01

Packing Input Frame Context in Next- Frame Prediction Models for Video Generation

2025/05/01

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

2025/05/01

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

2025/04/24

MANISKILL3: GPU PARALLELIZED ROBOTICS SIMULATION AND RENDERING FOR GENERALIZABLE EMBODIED AI

2025/04/24

SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

2025/04/24

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

2025/04/17

AdvWeb: Controllable Black-box Attacks on VLM-powered Web Agents

2025/04/17

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

2025/04/17

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

A Foundation of Reinforcement Learning for StochasticContinuous Dynamics:Temporal Difference Method

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form (ICLR2025)

2025/03/13

PhysBench: Benchmarking and Enhancing Vision-Langauge Models for Physical World Understanding

2025/03/13

Improving the Diffusability of Autoencoders

2025/02/20

Classification of the Fashion-MNIST Dataset on a Quantum Computer

2025/02/20

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators

2025/02/13

Gradient Informed Proximal Policy Optimization

2025/02/13

HyperSeg: Towards Universal Visual Segmentation with Large Language Model

2025/02/06

Introduction of Model Merging

2025/02/06

Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing

2025/01/16

Diffusion Adversarial Post-Training for One-Step Video Generation

2025/01/16

Cosmos World Foundation Model Platform for Physical AI

2025/01/09

NeuroAI for AI Safety

2025/01/09

GENERATING ALL-ATOM PROTEIN STRUCTURE FROM SEQUENCE ONLY TRAINING DATA

DL Papers 2024

2025/12/11

“ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS”

2025/12/11

Next-Latent Prediction Transformers Learn Compact World Models

2025/12/11

Training-Free Activation Sparsity in Large Language Models

2025/11/27

Mixture of Contexts for Long Video Generation

2025/11/27

World-in-World: World Models in a Closed-Loop World

2025/11/13

World Simulation with Video Foundation Models for Physical AI

2025/11/13

Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper

2025/11/13

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models

2025/11/06

Reversible Deep Equilibrium Models

2025/11/06

GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs – ACL Anthology

2025/11/06

DeepSeek-OCR: Contexts Optical Compression

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Robust Function-Calling for On-Device Language Model via Function Masking

TaskBench: Benchmarking Large Language Models for Task Automation

Learning to Reason without External Rewards

VisionZip: Longer is Better but Not Necessary in Vision Language Models [S. Yang+CVPR’25]

2025/07/31

Novelty Detection in Reinforcement Learning withWorld Models

2025/07/31

Programmatic Video Prediction Using Large Language Models

2025/06/26

Learning from video: how to leverage the no-action label video data

2025/06/26

Real-Time Execution of Action Chunking Flow Policies

2025/06/26

DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

2025/06/26

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Theoretical Benefit and Limitation of Diffusion Language Model

Is Noise Conditioning Necessary for Denoising Generative Models

DDT: Decoupled Diffusion Transformer

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

A Foundation of Reinforcement Learning for StochasticContinuous Dynamics:Temporal Difference Method

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form (ICLR2025)

2025/03/13

PhysBench: Benchmarking and Enhancing Vision-Langauge Models for Physical World Understanding

2025/03/13

Improving the Diffusability of Autoencoders

2025/03/06

Masked Diffusion Modelの進展

2025/01/23

Gradient Estimation with Discrete Stein Operators

2025/01/23

Agent Laboratory: Using LLM Agents as Research Assistant

2025/01/09

NeuroAI for AI Safety

2025/01/09

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection

(English) <a href="

【DL輪読会】HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection by @DeepLearning2023

" target="_blank">元論文

2025/01/09

GENERATING ALL-ATOM PROTEIN STRUCTURE FROM SEQUENCE ONLY TRAINING DATA

2024/12/19

Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction

2024/12/19

Understanding the performance gap between online and offline alignment algorithms

2024/12/12

Alignment Algorithms for Diffusion Models

2024/12/12

Simplifying Latent Dynamics with Softly State-Invariant World Models

2024/12/12

Score-based Generative Modeling Secretly　Minimizes the Wasserstein Distance

2024/12/05

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

2024/12/05

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

2024/11/28

COLM・EMNLP Best paper紹介

2024/11/21

The Surprising Effectiveness of TestTime Training for Abstract Reasoning

2024/11/21

On The Role of Attention Heads in Large Language Model Safety

2024/11/21

Intelligence at the Edge of Chaos

2024/11/14

1 π0: A Vision-Language-Action Flow Model for General Robot Control

2024/11/14

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

2024/11/14

Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks

2024/11/07

BEYOND AUTOREGRESSION: FASTLLMS VIA SELF-DISTILLATION THROUGH TIME

2024/11/07

Mechanistic Interpretability for AI Safety: A Review

2024/11/07

Imagine yourself: Tuning-Free Personalized Image Generation

2024/10/24

Multi Time Scale World Models

2024/10/24

Improving Text Embeddings with Large Language Models

2024/10/24

Training-Free Diffusion Models Alignment with Sampling Demons

2024/10/10

LLMによるアルゴリズム生成に関わる論文

2024/10/10

Do Differentiable Simulators Give Better Policy Gradients?

2024/10/03

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

2024/10/03

1 RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization (ACL 2024) + An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models (2024)

(English) 元論文

2024/09/19

Denoising Diffusion Bridge Models

2024/09/26

Classifier-Free Guidance is a Predictor-Corrector

Foundation Models for 3D Scene Understanding

2024/09/12

Lory: Fully Differentiable Mixture-of-Experts forAutoregressive Language Model Pre-training

2024/09/12

What Do Language Models Learn in Context? The Structured Task Hypothesis

2024/09/05

LLM for Social Good

2024/08/29

RoboDreamer: Learning Compositional World Models for Robot Imagination (ICML2024)

2024/08/29

Behavior Generation with Latent Actions

2024/09/05

On the Societal Impact of Open Foundation Models

2024/08/29

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

2024/09/05

AI for Social Good 実データの性質を設定にした研究

2024/08/22

Using Left and Right Brains Together: Towards Vision and Language Planning

2024/08/22

Slot Abstractors: Toward Scalable Abstract Visual Reasoning

2024/08/22

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience

2024/08/08

DiJiang: Efficient Large Language Models through Compact Kernelization

2024/08/08

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

2024/08/01

In-Context Unlearning: Language Models as Few Shot Unlearners

2024/08/01

Oral 1A Alignment セッションの紹介

2024/08/01

COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability (ICML2024)

Deep metabolome: Applications of deep learning in metabolomics

KTO: Model Alignment as Prospect Theoretic Optimization （ICML2024 ）

2024/07/18

Data Level Lottery Ticket Hypothesis

2024/07/18

“C-NERF: Representing Scene Changes asDirectional Consistency Difference-based NeRF”

2024/07/11

Neural Redshift: Random Networks are not Random Functions

2024/07/04

NN の内部挙動分析のためのCircuit について

2024/07/04

Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics

2024/07/04

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

2024/06/27

LangSplat: 3D Language Gaussian Splatting

2024/06/27

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

2024/06/20

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

2024/06/14

Accurate structure prediction of biomolecular interactions with AlphaFold 3

2024/06/14

CONTINUAL LEARNING OF DIFFUSION MODELS WITH GENERATIVE DISTILLATION

2024/06/14

Neural Isometries: Taming Transformations for Equivariant ML

2024/06/06

ICLR2024報告会〜計算神経科学・Brain-inspired AIの観点から〜

2024/06/06

CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs

2024/05/23

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimizationibution Learning Perspective

2024/05/16

Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs

2024/05/16

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

2024/05/09

Energy-Based Automated Model Evaluation

2024/05/09

KAN: Kolmogorov–Arnold Networks

2024/05/02

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

2024/05/02

Model-Based Runtime Monitoring withv Interactive Imitation Learning (ICRA2024)

2024/04/25

Deep Industrial Image Anomaly Detection: A Survey

2024/04/25

Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective

2024/04/25

Autonomous Evaluation and Refinement of Digital Agents

2024/04/18

Conditional Flow Matching

2024/04/18

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

2024/04/18

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Mode

2024/04/04

MoAI: Mixture ofAll Intelligence for Large Language andVision Models

2024/04/04

Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions

2024/03/29

Scaling Instructable Agents Across Many Simulated Worlds

2024/03/29

Evolutionary Optimization of Model Merging Recipes モデルマージの進化的最適化

2024/03/29

FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation

2024/03/22

PRE-TRAINING GOAL-BASED MODELS FOR SAMPLE-EFFICIENT REINFORCEMENT LEARNING

2024/03/22

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

2024/03/15

Language Models Represent Space and Time

2024/03/15

LERF: Language Embedded Radiance Fields

2024/03/15

複合的なAI システムと DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

2024/03/08

In deep reinforcement learning, a pruned network is a good network

2024/03/08

Positions, lengths, orders and surrounding matters in reasonings with LLM

2024/03/01

Gaussian Splatting SLAM

2024/03/01

UFO: A UI-Focused Agent for Windows OS Interaction

2024/02/16

Equivariant and Coordinate independent Convolutional Networks

2024/02/16

Object-Centric SemanticVector Quantization

2024/02/16

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

2024/02/09

”OMNIGROK: GROKKING BEYOND ALGORITHMIC DATA” ICRL2023

2024/02/09

MoE-LLaVA: Mixture of Experts for LargeVision-Language Models

2024/02/09

Generative Time Series Models with InterpretableLatent Processes for Complex Disease Trajectories(NIPS 2023)

2024/02/02

Octo: An Open-Source Generalist Robot Policy　　ーロボット基盤モデルの構築に向けてー

2024/02/02

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

2024/01/26

Diffusion Models Without Attention

2024/01/26

Grokking Group Multiplication with Cosets

2024/01/19

In-Context Pretraining: Language Modeling Beyond Document Boundaries

2024/01/19

Don’t Get Too Technical with Me’:A Discourse Structure-Based Framework for Science Journalism

2024/01/19

Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation

2024/01/12

Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations

2024/01/12

Mixtral of Experts

DL Papers 2023

2023/12/22

Long-form Question Answeringの評価について

2023/12/15

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

2023/12/08

GPT-4V(ision) for Robotics: Multimodal Task Planningfrom Human Demonstration

2023/12/01

Lipschitz Singularities in Diffusion Models

2023/12/01

Vision Transformers Need Registers

2023/12/01

相関バイアスを考慮した動的scene graph生成の新しいモデル

2023/11/29

Amortizing Intractable Inference in Large Language Models

2023/11/17

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees

2023/11/17

B-spline Texture Coefficients Estimator for Screen Content Image Super-Resolution

2023/11/17

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

2023/11/10

Simplifying Transformer Blocks

2023/11/10

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

2023/10/27

アーキタイプ分析の臨床分野における応用

2023/10/27

Table-GPT: Table-tuned GPT for Diverse Table Tasks

2023/10/20

Tracking Everything Everywhere All at Once

2023/10/20

Waypoint-Based Imitation Learning for Robotic Manipulation

2023/10/13

LightGlue: Local Feature Matching at Light Speed

2023/10/13

FreeU: Free Lunch in Diffusion U-Net

2023/10/06

自然言語生成(Natural Language Generation)の評価について

2023/10/06

From Sparse to Soft Mixtures of Experts

2023/10/06

Masked Diffusion as Self-supervised Representation Learner　

2023/09/22

LLMベースの自律型エージェントシステムのサーベイ

2023/09/29

Towards Generalist Biomedical AI (arXiv)

2023/09/29

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

2023/09/22

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

2023/09/15

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools (CoRL2023)

2023/09/15

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

2023/09/15

Improving and generalizing flow-based generative models with minibatch optimal transport

2023/09/08

Deep Latent State Space Models forTime-Series Generation

2023/09/08

Neural Systematic Binder

2023/09/01

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

2023/09/01

Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition

2023/09/01

Code Llama: Open Foundation Models for Code

2023/08/16

マルチモーダル LLM

2023/08/25

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

2023/08/18

Learning to render novel views from wide-baseline stereo pairs (CVPR2023)

2023/08/18

Zero-Shot Dual-Lens Super-Resolution

2023/08/18

BloombergGPT: A Large Language Model for Finance arxiv

2023/08/04

AnyLoc: Towards Universal Visual Place Recognition

2023/08/04

Hopfield network　関連研究について

2023/08/04

Can Neural Network Memorization Be Localized?

2023/07/28

SimPer: Simple self-supervised learning of periodic targets( ICLR 2023 )

2023/07/21

Language Instructed Reinforcement Learning for Human-AI Coordination

2023/07/21

Secrets of RLHF in Large Language Models Part I: PPO

2023/07/14

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

2023/07/07

Parameter is Not All You Need:Starting from Non-Parametric Networks for 3D Point Cloud Analysis

2023/06/30

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

2023/06/30

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

2023/06/30

Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

2023/06/23

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

2023/06/23

Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation

2023/06/09

マルチモーダル基盤モデル

2023/06/09

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

2023/06/09

HyperDiffusion: Generating Implicit Neural Fields withWeight-Space Diffusion

2023/06/02

大量API・ツールの扱いに特化したLLM

2023/06/02

DINOv2: Learning Robust Visual Features without Supervision

2023/05/26

Poisoning Language Models During Instruction Tuning Instruction Tuningを利⽤した⾔語モデルのポイズニング

2023/05/26

Egocentric Video Task Translation (CVPR 2023 Highlight)

2023/05/19

Flow Matching for Generative Modeling

2023/05/12

Visual Classification via Description from Large Language Models (ICLR2023)

2023/04/28

GPT-4Technical Report

2023/04/28

Emergent World Representations: Exploring a Sequence ModelTrained on a SyntheticTask

2023/04/21

Reward Design with Language Models

2023/04/21

Foundation Models for Decision Making: Problems, Methods, and Opportunities

2023/04/14

Dropout Reduces Underfitting

2023/04/14

One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers

2023/04/14

DiffRF: Rendering-guided 3D Radiance Field Diffusion [N. Muller+ CVPR2023]

2023/04/14

One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers

2023/04/07

Hyena Hierarchy: Towards Larger Convolutional Language Models

2023/04/07

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

2023/04/07

Segment Anything

2023/04/07

Is Conditional Generative Modeling All You Need For Decision-Making?

2023/03/31

AUTOGT: AUTOMATED GRAPH TRANSFORMER ARCHITECTURE SEARCH

2023/03/31

Decoupling Human and Camera Motion from Videos in the Wild (CVPR2023)

2023/03/03

Bridge-Prompt: Toward Ordinal Action Understanding in Instructional Videos

2023/03/17

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

2023/03/10

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

2023/03/10

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

2023/03/03

Toolformer: Language Models Can Teach Themselves to Use Tools

2023/03/03

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

2023/02/24

HyperTree Proof Search for Neural Theorem Proving

2023/02/17

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

HexPlaneとK-Planes

Scaling laws for single-agent reinforcement learning

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

2023/02/10

NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation

2023/01/27

Learning Physics Constrained Dynamics Using Autoencoders

2023/01/27

NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis

2023/01/20

WIRE: Wavelet Implicit Neural Representations

2023/01/20

Domain Generalization by Learning and Removing Domainspecific Features

2023/01/13

時系列予測 Transfomers の精度向上手法

2023/01/13

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings

2023/01/13

Mastering Diverse Domains through World Models

DL Papers 2022

RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning (NeurIPS 2022)

The Forward-Forward Algorithm: Some Preliminary

2022/12/02

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

2022/12/16

Investigating Tradeoffs in Real-World Video Super-Resolution

2022/12/16

Semi-Parametric Neural Image Synthesis

2022/12/09

Emergence of maps in the memories of blind navigation agents

2022/12/09

Masked World Models for Visual Control

2022/11/25

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs (EMNLP 2022)

2022/11/25

マルチエージェント強化学習における近年の協調的方策学習アルゴリズムの発展

2022/11/25

Transformers are Sample Efficient World Models

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Contrastive Learning as Goal-Conditioned Reinforcement Learning

2022/11/11

Code as Policies: Language Model Programs for Embodied Control

2022/11/11

Motion Policy Networks

2022/11/11

GIT RE-BASIN: MERGING MODELS MODULO PERMU- TATION SYMMETRIES

2022/11/04

Vision-Centric BEV Perception: A Survey

2022/10/21

BlobGAN: Spatially Disentangled Scene Representations

2022/10/28

DreamFusion: Text-to-3D using 2D Diffusion

2022/10/28

Novel View Synthesis with Diffusion Models

2022/10/21

Reflash Dropout in Image Super-Resolution

2022/10/21

Learning Instance-Specific Adaptation for Cross-Domain Segmentation (ECCV2022)

2022/10/14

Flamingo: a Visual Language Model for Few-Shot Learning

Hierarchical Text-Conditional Image Generation with CLIP Latents

DayDreamer: World Models for Physical Robot Learning

Prompting Decision Transformer for Few-Shot Policy Generalization

Diffusion Model 関連研究

Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks

2022/09/02

Representational Continuity for Unsupervised Continual Learning ( ICLR 2022 )

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Variable Bitrate Neural Fields

2022/08/05

“PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation (CVPR 2022)”

A Path Towards Autonomous Machine Intelligence

Language Conditioned Imitation Learning over Unstructured Data

2022/07/22

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Pointsfor Monocular Object Pose Estimation

2022/07/15

GAN-Supervised Dense Visual Alignment (CVPR 2022)

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

“Gestalt Principles Emerge When Learning Universal Sound Source Separation”

How Much Can CLIP Benefit Vision-and-Language Tasks?

Generating Long Videos of Dynamic Scenes

AuthenticAuthentic Volumetric Avatars from a Phone Scan

2022/06/17

Replacing Labeled Real-Image Datasets With Auto-Generated Contours

2022/06/17

LAR-SR: A Local Autoregressive Model for Image Super-Resolution

2022/06/10

論文解説：Offline Reinforcement Learning as One Big Sequence Modeling Problem

2022/06/10

Factory: Fast Contact for Robotic Assembly

FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-sectional Stock Returns (AAAI 2021)

“A Generalist Agent”

Generative models for molecular discovery: Recent advances and challenges

Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective

GradMax: Growing Neural Networks using Gradient Information

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Implicit Behavioral Cloning

Aspect-based Analysis of Advertising Appeals for Search Engine Advertising.

2022/04/22

Trajectory Prediction with Latent Belief Energy-Based Model

2022/05/06

Masked Siamese Networks for Label-Efficient Learning

2022/04/22

Causality Inspired Representation Learning for Domain Generalization

2022/04/15

Transframer: Arbitrary Frame Prediction with Generative Models

2022/04/01

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

2022/03/25

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution (CVPR2022)

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach（KDD 2021）

ODT: Online Decision Transformer

Diffusion-based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Revisiting Deep Learning Models for Tabular Data (NeurIPS 2021) 表形式データに対するディープラーニングモデルの再整理

Autonomous Reinforcement Learning: Formalism and Benchmarking

A System for General In-Hand Object Re-Orientation

BANMo: Building Animatable 3D Neural Models from Many Casual Videos

Human Dynamics from Monocular Video with Dynamic Camera Movements

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

SafePicking: Learning Safe Object Extraction via Object-Level Mapping (ICRA2022)

An Iterative Framework for Self-supervised Deep Speaker Representation Learning

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

MetaFormer is Actually What You Need for Vision

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Meta-Learning for Online Update of Recommender Systems. (AAAI 2022)

Vision Transformer with Deformable Attention （Deformable Attention Transformer：DAT）

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

GLIDE: Guided Language to Image Diffusion for Generation and Editing

What are Bayesian Neural Network Really Like ?

DL Papers 2021

STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation

EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning.(NIPS2021)

Learning Visible Connectivity Dynamics for Cloth Smoothing (CoRL2021)

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization (CoRL 2021)

ViT + Self Supervised Learningまとめ

SimCSE: Simple Contrastive Learning of Sentence Embeddings (EMNLP 2021)

Efficiently Modeling Long Sequences with Structured State Spaces

2021/11/12

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization

2021/11/05

Universal Trading for Order Execution with Oracle Policy Distillation

2021/11/19

Unpaired Image Super-Resolution Using Pseudo-Supervision

Learning Continuous Image Representation with Local Implicit Image Function (CVPR2021)

Wav2CLIP: Learning Robust Audio Representations From CLIP

Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

CLIPORT: What and Where Pathways for Robotic Manipulation (CoRL 2021)

Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation

Patches Are All You Need? （ConvMixer）

Invariant Risk Minimization

Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspectiveの論文紹介

2021/10/01

From Motor Control to Team Play in Simulated Humanoid Football

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

“From Motor Control to Team Play in Simulated Humanoid Football”

A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies

2021/09/17

マルチエージェント強化学習と⼼の理論〜Hanabiゲームにおけるベイズ推論を⽤いたマルチエージェント強化学習⼿法〜

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Implicit Representations of Meaning in Neural Language Models (ACL2021)

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners (NAACL, 2021)

“Highly accurate protein structure prediction with AlphaFold”

2021/09/03

Implicit Representations of Meaning in Neural Language Models (ACL2021)

Incorporating group update for speech enhancement based on convolutional gated recurrent network

TIMs：Transformers with Competitive Ensembles of Independent Mechanisms

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability

2021/08/20

Explorable Super Resolution

2021/08/20

SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models

2021/08/13

KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies

Neural Radiance Flow for 4D View Synthesis and Video Processing (NeRFlow)

“Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation”

2021/07/16

Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos

2021/07/16

In Search of Lost Domain Generalization

2021/07/09

Learning Task Informed Abstractions

2021/07/09

Inverse Constrained Reinforcement Learning

2021/07/09

Decision Transformer: Reinforcement Learning via Sequence Modeling

2021/06/25

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron(ICML 2018)

2021/06/25

RobustNet: Improving Domain Generalization in Urban- Scene Segmentation via Instance Selective Whitening

2020/08/21

確率的推論と行動選択

Grasping Field: Learning Implicit Representations for Human Grasps

2021/06/11

SiamMOT: Siamese Multi-Object Tracking

2021/06/04

Fast and Slow Learning of Recurrent Independent Mechanisms

2021/06/04

Are Pre-trained Convolutions Better than Pre-trained Transformers? (2021)

2021/06/04

IMPROVING VOICE SEPARATION BY INCORPORATING END-TO-END SPEECH RECOGNITION

Pay Attention to MLPs （gMLP）

“Divide and Contrast: Self-supervised Learning from Uncurated Data”

The act of remembering: A study in partially observable reinforcement learning

2021/05/21

Manipulation-Independent Representations(MIR) for Successful Cross Embodiment Visual Imitation

2021/05/21

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

2021/05/14

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

自動運転技術の課題に役立つかもしれない論文3本

Diagnosing Vision-and-Language Navigation: What Really Matters

VideoMix: Rethinking Data Augmentation for Video Classification

LoFTR: Detector-Free Local Feature Matching with Transformers

2021/04/16

Free Lunch for Few-shot Learning: Distribution Calibration

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

NeRF-VAE: A Geometry Aware 3D Scene Generative Model

2021/04/09

Data-Efficient Reinforcement Learning with Self-Predictive Representations

2021/02/05

MuZero：Mastering Atari, Go, chess and shogi by planning with a learned model

2021/03/26

deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)他3本、引用数の高い COVID-19へのDL応用

2021/03/26

Monocular Real-Time Volumetric Performance Capture

2021/03/26

Is it Enough to Optimize CNN Architectures on ImageNet?

2021/03/19

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning (ICML2019)

2021/03/19

Neural Radiance Field (NeRF) の派生研究まとめ

2021/03/19

Learning to Reach Goals via Iterated Supervised Learning

2021/03/12

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

2021/03/12

Perceiver: General Perception with Iterative Attention

2021/03/12

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

2021/03/05

Self-Supervised Policy Adaptation during Deployment

2021/02/26

Gated Recurrent Fusion With Joint Training Framework for Robust End-to-End Speech Recognition

2021/02/26

Generalized Zero-Shot Learning via Disentangled Representation

2021/02/12

Towards Transparent and Explainable Attention Models

2021/02/12

Sharpness-Aware Minimization for Efficiently Improving Generalization

2021/02/19

Scaling Laws for Neural Language Models

2021/02/05

Learning to combine top down and bottom-up signals in recurrent neural networks with attention over modules

2021/01/13

Toward Fast and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

2021/01/29

Memory Optimization for Deep Networks

2021/01/22

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (NeurIPS, 2020)

2021/01/22

AutoDropout: Learning Dropout Patterns to Regularize Deep Networks

2021/01/15

深層強化学習はなぜ難しいのか？Why Deep RL fails? A brief survey of recent works.

2021/01/15

Learning Transferable Visual Models From Natural Language Supervision

2021/01/13

Toward Fast and Stabilized GAN Training for High- fidelity Few-shot Image Synthesis

2021/01/08

“Kohn-Sham equations as regularizer building prior knowledge into machine-learned physics”

2021/01/08

ViNG: Learning Open-World Navigation with Visual Goals

DL Papers 2020

2020/08/28

GANとエネルギーベースモデル

2021/04/30

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning

2020/05/08

The frontier of simulation-based inference

2020/04/24

Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion

2020/12/18

Explainable Reinforcement Learning: A Survey

2020/12/04

Adversarial Counterfactual Learning and Evaluation for Recommender System

2020/12/04

OOD-MAML : Meta-Learning for Few-Shot Out-of- Distribution Detection and Classification

2020/11/27

Dense Captioning分野のまとめ

2020/11/27

Calibrating CNNs for Lifelong Learning

2020/11/20

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning

2020/11/20

Learning Loss for Test-Time Augmentation (NeurIPS2020)

2020/11/20

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen

2020/11/13

Collective dynamics of repeated inference in variational autoencoder rapidly find cluster structure

2020/10/30

Learning quadrupedal locomotion over challenging terrain

2020/11/13

強化学習の再定式化について： Beyond Reward Based End-to-End RL

NVAE: A Deep Hierarchical Variational Autoencoder

2020/11/06

KungFu: Making Training in Distributed Machine Learning Adaptive (OSDI’20)

2020/10/30

Blind Video Temporal Consistency via Deep Video Prior

MFcWanF6BxXL9f3XE" target="_blank">元論文

2020/10/30

画像を使ったSim2Realの現況

2020/10/23

What do Models Learn from Question Answering Datasets?

2020/10/23

VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

2020/10/23

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

2020/09/04

実世界のゲームにおける推移性と非推移性

2020/08/07

IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving

2020/04/24

Revealing the Dark Secrets of BERT (EMNLP-IJCNLP, 2019)

2020/10/16

音声言語病理学における機械学習とDNN

2020/10/16

An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

2020/10/09

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks (ACL, 2020)

2020/10/09

Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics (IROS2020)

2020/10/02

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

2020/10/02

Stereo Magnification: Learning view synthesis using multiplane images, +α

2020/10/02

Automatic Composition of Guitar Tabs by Transformers and Groove Modeling

2020/09/25

Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess

2020/09/25

Adversarial Learning for Zero-shot Domain Adaptation

2020/09/25

Layered Neural Rendering for Retiming People in Video

2020/09/04

実世界のゲームにおける推移性と非推移性

2020/09/18

Learning to Dress 3D People in Generative Clothing

2020/09/11

Visual Grounding of Learned Physical Models

(English) 元論文

2020/09/11

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective (ICML2020)

2020/09/11

Big Bird: Transformers for Longer Sequences

2020/09/04

Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions

2020/09/04

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

2020/08/28

10分で10本の論⽂をざっくりと理解する (ICML2020)

2020/08/28

SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification (ICML2020)

2020/08/21

You Only Train Once: Loss-Conditional Training of Deep Networks(ICLR2020, Poster)

2020/08/21

DIVERSE TRAJECTORY FORECASTING WITH DETERMINANTAL POINT PROCESSES

2020/08/07

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

2020/08/07

A Generalization of Otsu’s Method and Minimum Error Thresholding[ECCV2020]

2020/07/31

音声言語病理学における機械学習とDNN

2020/07/31

Whole-Body Human Pose Estimation in the Wild

2020/07/17

Self-supervised Video Object Segmentation

2020/07/17

Object-Centric Learning with Slot Attention

2020/07/10

Jukebox: A Generative Model for Music

2020/07/10

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

2020/07/10

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

2020/07/03

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

2020/07/03

物理学による帰納バイアスを組み込んだダイナミクスモデル作成に関する論文まとめ

2020/07/03

Conservative Q-Learning for Offline Reinforcement Learning

2020/07/03

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

2020/06/26

近年のオフライン強化学習のまとめ —Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems—

2020/06/26

Network Deconvolution

2020/06/19

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study (arXiv’20)

2020/06/19

Weakly-Supervised Disentanglement Without Compromises

2020/05/22

Off-policy Learning in Two-stage Recommender Systems (WWW2020)

2020/06/05

DeepSignals: Predicting Intent of Drivers Through Visual Signals

2020/06/05

Feature Interaction Interpretability: A Case for Explanining Ad-Recommendation Systems vi Neural Interaction detection (ICLR2020)

2020/05/29

End-to-End Object Detection with Transformers

2020/05/29

Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus

2020/05/22

Non-Autoregressive Machine Translation with Alignments

2020/05/22

DDSP: Differentiable Digital Signal Processing (ICLR2020)

2020/05/15

YOLOv4: Optimal Speed and Accuracy of Object Detection

2020/05/15

Experience Grounds Language

2020/05/15

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

2020/05/08

Learning to Simulate Complex Physics with Graph Networks

2020/05/08

Pose Manipulation with Identity Preservation

2020/05/01

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities

2020/05/01

High-Quality Self-Supervised Deep Image Denoising

2020/04/17

Designing Network Design Spaces [CVPR2020]

2020/04/10

Tracking Objects as Points

2020/04/10

CNN – based Density Estimation and CrowdCounting A Survey

2020/04/03

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

2020/04/03

MAST: A Memory-Augmented Self-supervised Tracker

2020/03/27

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

2020/03/27

Better Exploration with Optimistic Actor-Critic

2020/03/27

TV Advertisement Scheduling by Learning Expert

2020/03/13

Dream to Control: Learning Behaviors by Latent Imagination

2020/03/13

2020/03/13

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors

2020/03/06

Hindsight Experience Replayを応用した再ラベリングによる効率的な強化学習

2020/03/06

How to develop machine learning models for healthcare

2020/03/06

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

2020/02/28

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

2020/02/28

Implementation Matters in Deep RL: A Case Study on PPO and TRPO (ICLR’20)

2020/02/21

Set Transformer: A Framework for Attention-based Permutation-Invariant Nerural Network

2020/02/21

MSCap: Multi-Style Image Captioning With Unpaired Stylized Text

2020/02/14

Inverse Design of Solid-State Materials via a Continuous Representation

2020/02/14

SEGAN Speech Enhancement Generative Adversarial Network

2020/02/14

Learning Differentiable Grammars for Continuous Data

2020/02/07

Adversarial Representation Active Learning

2020/02/07

(Sequential) Variational Autoencoders for Collaborative Filtering

2020/02/07

An Adversarial Perturbation Oriented Domain AdaptationApproach for Semantic Segmentation

2020/01/31

MogrifierLSTM (ICLR2020)

2020/01/31

Data-dependent Gaussian Prior Objective for Language Generation

2020/01/24

近年のエネルギーベースモデルの進展

2020/01/24

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

2020/01/24

20 Years of Automatic Chord Recognition From Audio

2020/01/17

Economy stastistical recurrent units for inferring nonlinear granger causality

2020/01/10

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

2020/01/10

Ensemble Distribution Distillation

DL Papers 2019

2019/07/26

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing (ICML’19)

2019/12/13

Grandmaster level in StarCraft II using multi-agent reinforcement learning

2019/12/13

Grandmaster level in StarCraft II using multi-agent reinforcement learning

2019/12/27

When Does Label Smoothing Help?

2019/12/27

Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features

2019/12/20

Convolutional Conditional Neural Processesと Neural Processes Familyの紹介

2019/12/20

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

2019/12/20

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering(ICLR 2020 under review)

2019/12/13

Real-Time Semantic Stereo Matching

2019/12/13

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

2019/12/06

SlowFast Networks for Video Recognition

2019/12/06

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

2019/07/05

Shaping Belief States with Generative Environment Models for RL

2019/10/04

Control as Inferenceと発展

2019/11/29

Regression Planning Networks

2019/11/29

モデルベース強化学習とEnergy Based Model

2019/11/29

Small-GAN: Speeding Up GAN Training Using Core-sets

2019/11/22

“A Framework for Data-Driven Robotics”

2019/11/22

EfficientDet: Scalable and Efficient Object Detection

2019/11/18

DROPデータセットによるMachine Reading Comprehension研究の状況

2019/11/15

Parity Models: A General Framework for Coding-Based Resilience in ML Inference (SOSP’19)

2019/11/15

Generalization of Reinforcement Learners with Working and Episodic Memory

2019/11/15

DurIAN: Duration Informed Attention Multimodal Synthesis

2019/11/08

Temporal Abstraction in NeurIPS2019

2019/11/11

Hessian based-analysis

2019/11/08

“Learning to Predict without Looking Ahead: World Models without Forward Prediction” NeurIPS2019

2019/11/01

Real-time Attention Based Look-alike Model for Recommender System (KDD2019)

2019/11/01

Addressing Failure Prediction by Learning Model Confidence

2019/11/01

Training Language GANs from Scratch (NeurIPS 2019)

2019/10/25

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

2019/10/25

Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics

2019/10/25

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

2019/10/21

2019/10/11

Seeing What a GAN Cannot Generate

2019/10/11

Deep Dynamics Models for Learning Dexterous Manipulation

2019/10/04

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

2019/10/04

FaceForensics++: Learning to Detect Manipulated Facial Images

2019/09/27

陰関数微分を用いた深層学習

2019/09/06

Scalable Training of Inference Networks for Gaussian-Process Models

2019/09/27

Attention InterpretabilityAcross NLPTasks

2019/09/27

ICLR2020の分布外検知速報

2019/09/20

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling (ICCV2019)

2019/09/13

相互情報量最大化による表現学習

2019/09/13

Textured Neural Avatars

2019/09/06

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

2019/08/30

HoloGAN: Unsupervised learning of 3D representations from natural images

2019/09/06

Weight Agnostic Neural Networks

2019/08/30

Learning Finite State Representations of Recurrent Policy Networks

2019/08/23

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real

2019/08/23

Efficient Video Generation on Complex Datasets

2019/08/23

Variational End-to-End Navigation and Localization

2019/08/16

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

2019/08/16

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

2019/08/09

Dynamics-Aware Unsupervised Discovery of Skills

2019/08/09

Imputing Missing Events in Continuous-Time Event Streams (ICML 2019)

2019/08/09

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

2019/08/02

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

2019/07/19

Understanding and Controlling Memory in Recurrent Neural Networks (ICML2019)

2019/08/02

A Wavenet for Speech Denoising

2019/08/02

Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior (WWW2019)

2019/07/26

Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection

2019/07/05

CVPR2019:Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

2019/07/19

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

2019/07/19

Monaural Audio Source Separationusing Variational Autoencoders

2019/07/12

Libra R-CNN: Towards Balanced Learning for Object Detection

2019/07/12

Approximating CNNs with Bag-of-local-Featuresn models works surprisingly well on ImageNet

2019/07/12

AutoAugment: LearningAugmentation Strategies from Data & Learning DataAugmentation Strategies for Object Detection

2019/07/05

Shaping Belief States with Generative Environment Models for RL

2019/07/05

Model-Based Reinforcement Learning via Meta-Policy Optimization

2019/06/28

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

2019/06/28

Estimating Predictive Uncertainty via Prior Networks

2019/06/10

Deterministic Variational Inference for RobustBayesian Neural Networks (ICLR2019)

2019/06/28

Are Sixteen Heads Really Better than One?

2019/06/21

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

2019/06/14

ドメイン転移と不変表現に関するサーベイ

2019/06/14

Randomized Prior Functions for Deep Reinforcement Learning

2019/06/14

Objects as Points

2019/05/31

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

2019/05/31

Pyramid Stereo Matching Network

2019/05/24

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

2019/05/24

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

2019/05/17

Active Domain Randomization

2019/05/17

Deep High-Resolution Representation Learning for Human Pose Estimation

2019/05/17

Few-Shot Unsupervised Image-to-Image Translation

2019/04/19

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

2019/04/19

機械学習におけるカオス現象について

2019/05/10

高周波数制御における深層強化学習

2019/04/26

“SimPLe”,“Improved Dynamics Model”,“PlaNet” 近年のVAEベース系列モデルの進展とそのモデルベースRLへの応用

2019/04/26

Neural Speed Reading with Structural-Jump-LSTM

2019/04/26

Looking to Listen at the Cocktail Party:A Speaker-Independent Audio-Visual Model for Speech Separation

2019/04/19

TossingBot: Learning to Throw Arbitrary Objects with Residual Physics

2019/04/12

Attention is not Explanation (NAACL2019)

2019/04/12

Variational Autoencoder with Arbitrary Conditioning

2019/04/05

off-policyなメタ強化学習

2019/04/05

The Building Blocks of Interpretability

2019/04/05

Disentangling Disentanglement

2019/01/18

Recent Advances in Autoencoder-Based Representation Learning

2019/03/29

“Submodular Field Grammars Representation” and “Deep Submodular Functions”

2019/03/29

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

2019/03/29

Deep Anomaly Detection Using Geometric Transformations

2019/03/08

Flow-based Deep Generative Models

2019/03/22

Adaptive Gradient Methods with Dynamic Bound of Learning Rate

2019/03/15

GANSynth: Adversarial Neural Audio Synthesis

2019/03/15

High-Fidelity Image Generation with Fewer Labels

2019/03/08

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

2019/03/01

Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos (AAAI 2019)

2019/03/01

A Closer Look at Few-shot Classification

2019/02/22

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

2019/02/22

Compatible and Diverse Fashion Image Inpainting

2019/02/22

DropBlock: A regularization method for convolutional networks

2019/02/15

Deterministic Variational Inference for Robust Bayesian Neural Networks

2019/02/15

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

2019/02/08

Two-stage Sketch Colorization

2019/02/08

Learning deep representations by mutual information estimation and maximization

2019/02/08

Deep Learning for Anomaly Detection: A Survey

2019/02/01

Interpolation-Prediction Networks for Irregularly Sampled Time Series

2019/02/01

Meta Reinforcement Learning

2019/01/25

Learning agile and dynamic motor skills for legged robots

2019/01/25

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Learning agile and dynamic motor skills for legged robots

2019/01/25

A Style-Based Generator Architecture for Generative Adversarial Networks

DL Papers 2018

2018/11/30

Temporal DifferenceVariationalAuto-Encoder

2018/12/21

Deep Face Recognition: A Survey

2018/12/21

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems(KDD2018)

2018/12/21

Learning Latent Dynamics for Planning from Pixels

2018/12/14

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

2018/12/14

Meta-Learning Probabilistic Inference for Prediction

2018/12/14

Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network

2018/12/07

BERT-pytorchの実装を読み解いてみた

2018/12/07

Multi-Modal and Multi-Domain Embedding Learning for Fashion Retrieval and Analysis

2018/12/07

マテリアルズインフォマティクスにおける深層学習の応用

2018/11/30

3D Hair Synthesis Using Volumetric Variational Autoencoders

2018/11/30

Graph R-CNN for Scene Graph Generation

2018/11/16

GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation

2018/11/16

VOICEFILTER: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

2018/11/16

Learning Self-Imitating Diverse Policies

2018/11/09

Freehand-Sketch to Image Synthesis 2018

2018/11/09

eCommerceGAN : A Generative Adversarial Network for E-commerce

2018/11/02

ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information (CVPR2018)

2018/11/02

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation (NIPS2018)

2018/11/02

Adversarial Text Generation via Feature-Mover’s Distance (NIPS 2018)

2018/10/26

A Probabilistic U-Net for Segmentation of Ambiguous Images

2018/10/26

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

2018/10/26

強化学習のための状態表現学習－より良い「世界モデル」の獲得に向けて－

2018/10/19

Phrase-Based & Neural Unsupervised Machine Translation

2018/10/19

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

2018/10/19

Large-Scale Study of Curiosity-Driven Learning

2018/10/12

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

2018/10/12

FOTS: Fast Oriented Text Spotting with a Unified Network

2018/10/05

Large Scale GAN Training for High Fidelity Natural Image Synthesis

2018/10/05

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

2018/10/05

Semi-convolutional Operators for Instance Segmentation

2018/09/28

Human Pose Estimation @ ECCV2018

2018/09/28

Deep Learning based Recommender System: A Survey and New Perspectives

2018/09/21

Multi-task Deep Reinforcement Learning with PopArt

2018/09/21

Object-Oriented Dynamics Predictor (NIPS 2018)

2018/09/14

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

2018/09/14

Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning

2018/09/07

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

2018/09/07

Collaborative Deep Metric Learning for Video Understanding(KDD2018)

2018/08/31

DNN-based Source Enhancement to Increase Objective Sound Quality Assessment Score

2018/08/31

Autoregressive Convolutional Neural Networks for Asynchronous Time Series(ICML 2018)

2018/08/24

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks

2018/08/17

AVID:Adversarial Visual Irregularity Detection

2018/08/17

Neural Arithmetic Logic Units (NALU)

2018/08/17

AVID: Adversarial Visual Irregularity Detection

2018/08/17

Neural Arithmetic Logic Units (NALU)

2018/08/10

MeshとDeep Learning Surface Networks & AtlasNet

2018/08/10

Z-Forcing: Training Stochastic Recurrent Networks (NIPS2017)

2018/08/10

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping（GraspGAN）

2018/08/03

“CyCADA: Cycle-Consistent Adversarial Domain Adaptation”&”Learning Semantic Representations for Unsupervised Domain Adaptation”

2018/08/03

Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs (CVPR 2018)

2018/08/03

An Analysis of Scale Invariance in Object Detection – SNIP

2018/07/27

Model-Level Dual Learning

2018/07/27

Measuring abstract reasoning in neural networks

2018/07/27

Conditional Neural Processes

2018/07/20

Disentangling by Factorising

2018/07/20

Glow: Generative Flow with Invertible 1×1 Convolutions

2018/07/13

Neuroscience-Inspired Artificial Intelligence

2018/07/06

Tracking Emerges by Colorizing Videos

2018/07/06

Vector-based navigation using grid-like representations in artificial agents

2018/07/06

Taskonomy: Disentangling Task Transfer Learning

2018/06/29

Relational inductive biases, deep learning, and graph networks

2018/06/29

Supervision-by-Registration

2018/06/22

CartoonGAN: Generative Adversarial Networks for Photo Cartoonization

2018/06/22

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

2018/06/22

Hyper parameter agnostic methods in Reinforcement Learning

2018/06/15

Relational recurrent neural networks

2018/06/15

Domain Adaptive Faster R-CNN for Object Detection in the Wild

2018/06/01

Self-Attention Generative Adversarial Networks

2018/06/01

Universal Planning Networks

2018/06/01

Efficient Neural Audio Synthesis

2018/05/25

Discrete Sequence Generation with Spot The Difference Training

2018/05/25

Neuron as an Agent

2018/05/25

2018/05/18

Boosting Domain Adaptation by Discovering Latent Domains

2018/05/18

Self-Normalizing Neural Networks

2018/05/11

ICLR2018参加報告

2018/05/11

Learning to Adapt: Meta-Learning for Model-Based Control

2018/05/11

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

2018/04/27

Toward Multimodal Image-to-Image Translation (NIPS’17)

2018/04/27

2018/04/20

Matrix capsules with EM routing

2018/04/20

Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

2018/04/13

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

2018/04/13

An efficient framework for learning sentence representations

2018/04/06

DeepLearning 論文乱読会

2018/03/23

Learning Deep Mean Field Games for Modeling Large Population Behavior

2018/03/23

Squeeze-and-Excitation Networks

2018/03/16

Unsupervised Neural Machine Translation

2018/03/16

Progressive Growing of GANs for Improved Quality, Stability, and Variation

2018/03/09

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

2018/03/09

Is Generator Conditioning Causally Related to GAN Performance?

2018/03/02

Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering

2018/03/02

Learning an Embedding Space for Transferable Robot Skills

2018/03/02

DeepLearningと曲がったパラメータ空間 (Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation)

2018/02/23

DISTRIBUTIONAL POLICY GRADIENTS

2018/02/23

Neural 3d Mesh Renderer

2018/02/23

Generating Wikipedia by Summarizing Long Sequences

2018/02/16

Deep Learning for Sampling from Arbitrary Probability Distributions

2018/02/16

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

2018/02/16

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

2018/02/16

Deep Neural Networks as Gaussian Processes

2018/02/09

DeepStyle: Multimodal Search Engine for Fashion and Interior Design

2018/02/09

Learning to Generalize: Meta-Learning for Domain Generalization

2018/02/09

Focal Loss for Dense Object Detection

2018/02/09

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

2018/02/02

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

2018/02/02

Zero-Shot Visual Imitation

2018/01/26

Recent Progresses in Deep Learning Based Acoustic Models

2018/01/26

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Decent

2018/01/26

Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution

2018/01/19

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

2018/01/19

Painting style transfer for head portraits using convolutional neural networks

2018/01/19

A systematic study of the class imbalance problem in convolutional neural networks

2018/01/12

End-to-end Recovery of Human Shape and Pose

2018/01/12

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies

2018/01/05

Learning to Skim Text

2018/01/05

Hindsight Experience Replay

2018/01/05

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

DL Papers 2017

2017/12/22

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

2017/12/22

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

2017/12/15

SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks

2017/12/15

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

2017/12/08

Deep Reinforcement Learning that Matters

2017/12/08

Population Based Training of Neural Networks

2017/11/27

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

2017/11/27

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

2017/11/20

Rainbow: Combining Improvements in Deep Reinforcement Learning

2017/11/20

Controllable Invariance through Adversarial Feature Learning

2017/11/13

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

2017/11/13

Learning to Act by Predicting the Future

2017/11/06

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

2017/11/06

Deep Recurrent Generative Decoder for Abstractive Text Summarization

2017/10/30

Style Transfer from Non-Parallel Text by Cross-Alignment

2017/10/30

Energy-based generative adversarial networks

2017/10/16

Opening the Black Box of Deep Neural Networks via Information

2017/10/16

Improved Training of Wasserstein GANs

2017/10/02

Parallel Multiscale Autoregressive Density Estimation

2017/10/02

Training RNNs as Fast as CNNs

2017/09/25

The Conditional Analogy GAN: Swapping Fashion Articles on People Images

2017/09/25

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

2017/09/11

MoCoGAN: Decomposing Motion and Content for Video Generation

2017/09/11

DeepNav: Learning to Navigate Large Cities

2017/09/04

Spectral Norm Regularization for Improving the Generalizability of Deep Learning

2017/09/04

Residual Attention Network for Image Classification

2017/08/28

Learning from Simulated and Unsupervised Images through Adversarial Training

2017/08/28

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

2017/08/21

Understanding Black-box Predictions via Influence Functions

2017/08/21

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

2017/08/04

YOLO9000: Better, Faster, Stronger

2017/08/04

Reward Augmented Maximum Likelihood for Neural Structured Prediction

2017/07/28

Asymmetric Tri-training for Unsupervised Domain Adaptation

2017/07/28

Learning model-based planning from scratch

2017/07/28

Imagination-Augmented Agents for Deep Reinforcement Learning

2017/07/21

Train longer, generalize better: closing the generalization gap in large batch training of neural networks

2017/07/21

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

2017/07/14

Attention Is All You Need

2017/07/14

One Model To Learn Them All

2017/07/07

Adversarial Feature Matching for Text Generation

2017/07/07

StyleNet: Generating Attractive Visual Captions with Styles

2017/06/30

Hybrid Reward Architecture for Reinforcement Learning

2017/06/30

Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction

2017/06/30

Learning binary or real-valued time-series via spike-timing dependent plasticity

2017/06/23

Xception: Deep Learning with Depthwise Separable Convolutions

2017/06/23

Colorful Image Colorization

2017/06/16

Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search

2017/06/16

A simple neural network module for relational reasoning

2017/06/09

Learning by Association – A versatile semi-supervised training method for neural networks

2017/06/09

The Cramer Distance as a Solution to Biased Wasserstein Gradients

2017/06/02

AdaNet: Adaptive Structural Learning of Artificial Neural Networks

2017/06/02

Generative Models of Visually Grounded Imagination

2017/05/19

DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling

2017/05/19

Convolutional Sequence to Sequence Learning

2017/05/12

Quasi-Recurrent Neural Networks

2017/05/12

Unsupervised Learning by Predicting Noise

2017/04/28

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

2017/04/21

A Neural Representation of Sketch Drawings

2017/04/21

Neural Episodic Control

2017/04/21

Model-Free Episodic Control

2017/04/14

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

2017/04/07

Reinforcement Learning with Deep Energy-Based Policies

2017/04/07

Controllable Text Generation

2017/03/31

Multi-Agent Cooperation and the Emergence of (Natural) Language

2017/03/31

Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models

2017/03/24

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

2017/03/24

Variational Dropout Sparsifies Deep Neural Networks

2017/03/17

Diet Networks: Thin Parameters for Fat Genomics

2017/03/17

Semi-Supervised QA with Generative Domain-Adaptive Nets

2017/03/10

Unsupervised Cross-Domain Image Generation

2017/03/10

Bridging the Gap Between Value and Policy Based Reinforcement Learning

2017/03/03

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

2017/03/03

Generative Adversarial Imitation Learning

2017/02/24

QUASI-RECURRENT NEURAL NETWORKS

2017/02/24

Wasserstein GAN

2017/02/24

Towards Principled Methods for Training Generative Adversarial Networks

2017/02/17

Exploiting Cyclic Symmetry in Convolutional Neural Networks

2017/02/17

Understanding deep learning requires rethinking generalization

2017/02/10

Stochastic Neural Networks for Hierarchical Reinforcement Learning

2017/02/10

Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

2017/02/03

U-Net: Convolutional Networks for Biomedical Image Segmentation (MICCAI 2015)

2017/02/03

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation (NIPS 2016 Poster)

2017/01/27

Bayesian Deep Learning

2017/01/20

Learning What and Where to Draw (NIPS’16)

2017/01/20

Dual Learning for Machine Translation

2017/01/13

Value Iteration Networks

2017/01/13

Image-to-Image Translation with Conditional Adversarial Networks

2017/01/06

Continuous Deep Q-Learning with Model-based Acceleration

DL Papers 2016

2016/12/16

TREE-STRUCTURED VARIATIONAL AUTOENCODER

2016/12/16

Learning Convolutional Neural Networks for Graphs

2016/12/09

Hybrid Computing using a Neural Network with Dynamic External Memory

2016/12/09

PGQ: COMBINING POLICY GRADIENT AND QLEARNING

2016/12/09

SAMPLE EFFICIENT ACTOR-CRITIC WITH EXPERIENCE REPLAY

2016/12/09

Q-PROP: SAMPLE-EFFICIENT POLICY GRADIENT WITH AN OFF-POLICY CRITIC

2016/12/09

REINFORCEMENT LEARNING WITH UNSUPERVISED AUXILIARY TASKS

2016/12/02

Unsupervised Learning of 3D Structure from Images

2016/12/02

Tuning Recurrent Neural Networks with Reinforcement Learning

2016/11/25

2016/11/18

Introduction of Reinforcement Learning

2016/11/18

Matching Networks for One Shot Learning

2016/11/11

Semi-supervised learning with context-conditional generative adversarial networks

2016/11/11

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

2016/11/04

GANに関する研究発表

2016/10/28

Siamese CBOW: Optimizing Word Embeddings for Sentence Representations

2016/10/28

Video Pixel Networks

2016/10/21

Learning to Simplify:Fully Convolutional Networks for Rough Sketch Cleanup

2016/10/14

Tree-to-Sequence Attentional Neural Machine Translation

2016/10/14

On Multiplicative Integration with Recurrent Neural Networks

2016/10/07

Generating Videos with Scene Dynamics (VGAN, NIPS2016)

2016/09/30

Dueling Network Architectures for Deep Reinforcement Learning

2016/09/30

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradien

2016/09/23

Direct Feedback Alignment Provides Learning in Deep Neural Networks

2016/09/16

ICLR2016 VAEまとめ

2016/09/16

WAVENET: A GENERATIVE MODEL FOR RAW AUDIO

2016/09/09

Multilingual Image Description with Neural Sequence Models

2016/09/09

Decoupled Neural Interfaces using Synthetic Gradients

2016/09/02

Censoring Representation with Adversary

2016/08/26

DropNeuron: Simplifying the Structure of Deep Neural Networks

2016/08/19

Unitary Evolution Recurrent Neural Networks

2016/08/19

Bayesian Dark Knowledge

2016/08/05

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

2016/07/29

ディープネットワークを用いた大域特徴と局所特徴の学習による白黒写真の自動色付け

2016/07/29

Delving Deep into Rectifiers:Surpassing Human-Level Performance on ImageNet Classification

2016/07/22

Deep Networks with Stochastic Depth

2016/07/22

Learning to Compose Neural Networks for Question Answering

2016/07/15

Generative Adversarial Text to Image Synthesis

2016/07/15

Towards a Biologically Plausible Backprop

2016/07/08

Order-Embeddings of Images and Language

2016/07/08

Deep Spatial Autoencoders for Visuomotor Learning

2016/07/01

Asynchronous Methods for Deep Reinforcement Learning

2016/07/01

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

2016/06/24

Distributional Smoothing with Virtual Adversarial Training

2016/06/24

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

2016/06/17

Iterative Alternating Neural Attention for Machine Reading

2016/06/17

Recurrent Neural Networks for Multivariate Time Series with Missing Values

2016/06/10

Binarized Neural Networks: Training Neural Networks with Weights and Activations Constrained to +1 or =1

2016/06/10

Leveraging Visual Question Answering for Image-Caption Ranking

2016/06/03

XNOR-Net: ImageNet Classification Using Binary Convolution Neural Network

2016/06/03

Convergent Learning: Do different neural networks learn the same representations?

2016/05/27

CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING

2016/05/27

Generating Text with Deep Reinforcement Learning

2016/05/20

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

2016/05/20

Action-Conditional Video Prediction using Deep Networks in Atari Games

2016/05/13

Scalable Bayesian Optimization Using Deep Neural Networks

2016/05/13

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks

2016/04/28

A Network-based End-to-End Trainable Task-oriented Dialogue System

2016/04/28

Learning Physical Intuition of Block Towers by Example

2016/04/22

Instance-sensitive Fully Convolutional Networks

2016/04/22

Deep generative image models using a Laplacian pyramid of adversarial networks

2016/04/15

Recurrent Batch Normalization

2016/04/15

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

2016/04/15

Neural Summarization by Extracting Sentences and Words

2016/04/08

Mastering the game of Go with deep neural networks and tree search

2016/04/08

End-to-End Training of Deep Visuomotor Policies

2016/04/01

Diversity Networks

2016/03/24

Deep reinforcement learning with double Q learning

2016/03/24

A deep memory-based architecture for sequence-to-sequence learning

2016/03/18

Unifying Distillation and Privileged Information

2016/03/18

Generating Images from Captions with Attention

2016/03/11

Adversarial Autoencoders

2016/03/11

Bitwise Neural Networks

2016/03/04

On the Number of Linear Regions of Deep Neural Networks

2016/03/04

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

2016/02/25

Generating News Headlines with Recurrent Neural Networks

2016/02/18

Variational Inference with Renyi Divergence

2016/02/12

Data-Dependent Initializations of Convolutional Neural Networks / All You Need Is a Good Init

2016/02/05

Pixel Recurrent Neural Networks

2016/01/28

Teaching Machines to Read and Comprehend

2016/01/21

Capturing Meaning in Product Reviews with Character-Level Generative Text Models

2016/01/15

RATM: Recurrent Attentive Tracking Model

2016/01/08

Semi-Supervised Learning with Ladder Networks

2016/01/08

Semi-Supervised Learning with Ladder Networks

DL Papers 2015

2015/12/25

Deep Kalman Filters

2015/12/11

On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models

2015/12/04

DeepWalk: Online Learning of Social Representations

2015/11/25

Deep Kernel Learning

2015/11/13

Character-level Convolutional Networks for Text Classification

2015/11/05

Learning Transferable Features with Deep Adaptation Networks

2015/10/29

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

2015/10/22

Feedforward Sequential Memory Neural Networks without Recurrent Feedback

2015/10/15

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

2015/10/08

Seven neurons memorizing sequences of alphabetical images via spike-timing dependent plasticity

2015/09/25

Gradient-based Hyperparameter Optimization through Reversible Learning

2015/09/18

‘A Neural Conversational Model’

2015/09/11

‘Compressing Neural Networks with the Hashing Trick’

2015/09/02

‘Learning Sentiment-Speciﬁc Word Embedding for Twitter Sentiment Classiﬁcation’

2015/08/27

‘Difference Target Propagation’

2015/08/20

‘Deterministic Policy Gradient Algorithms’

2015/08/13

‘Deep Learning (Yoshua Bengio, Ian Goodfellow and Aaron Courville; MIT Press) Chapter 6’

2015/08/13

‘Self-Paced Learning with Diversity’

2015/07/17

‘Variational Dropout and the Local Reparameterization Trick’

2015/05/21

‘Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning’

’How transferable are features in deep neural networks?’

‘RC-NET- A General Framework for Incorporating Knowleddge into Word Representations’

‘Semi-supervised Learning with Deep Generative Models’

Readings

READINGs

DL Seminersでは、機械学習・深層学習の名著の輪読会を行なっております。こちらのページでは、輪読会のスライドを公開しています。

Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville

PRML, Pattern Recognition and Machine Learning

パターン認識と機械学習 C.M.ビショップ

第1章　序論	第2章　確率分布	第3章　線形回帰モデル
第4章　線形識別モデル	第5章　ニューラルネットワーク	第6章　カーネル法
第7章　疎な解を持つカーネルマシン	第8章　グラフィカルモデル	第9章　混合モデルとEM
第10章　近似推論法	第11章　サンプリング法	第12章　連続潜在変数
第13章　系列データ	第14章　モデルの結合

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