DLHacks

Deep Learningを活用または研究するには、論文の理解に加えて分野に特化した実装力が必要不可欠です。

DL Hacksでは、DeepLearningの実装力に焦点を当て、最新論文の実装やその他Tipsを共有する勉強会を毎週開催しております。

 

Github:DLHacks
ブログ:DL Hacks

Implementation

DLHacksでは、トップカンファレンスを中心に最新論文の実装を再現しています。

2019/10/07

Shake-drop by keras

2019/08/05

[DLHacks]Topic‑Aware Neural KeyphraseGeneration for Social Media Language

2019/07/08

[DLHacks]XLNet を動かして可視化してみた

2019/06/24

Objects as Points

2019/06/10

Deterministic Variational Inference for RobustBayesian Neural Networks (ICLR2019)

2019/04/22

Deformable GANs for Pose-based Human Image Generation

2019/04/15

The Neural Process Family−Neural Processes関連の実装を読んで動かしてみる−

2019/04/01

“Simple Online Realtime Tracking with a Deep Association Metric [1] “

2019/04/01

tensorflow/privacy Task-Embedded Control Networks for Few-Shot Imitation Learning

2019/04/08

Pretraining-Based Natural Language Generation for Text Summarization ~BERTから考える要約のこれまでとこれから~

2019/01/17

Adversarial Personalized Ranking for Recommendation

2018/12/20

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

2018/12/13

PyTorch, PixyzによるGenerative Query Networkの実装

2018/12/13

ニューラル固有表現抽出器を実装してみた話

2018/12/06

Modeling Relational Data with Graph Convolutional Networks

2018/11/29

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

2018/11/22

OCNet: Object Context Networkfor Scene Parsing

2018/11/22

Video-to-Video Synthesis

2018/10/29

Semi-Supervised Classification with Graph Convolutional Networks

2018/10/22

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Network

2018/10/01

Deep Learning with Differential Privacy Martin Abadi et al

2018/09/10

Everybody Dance Now

2018/09/03

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

2018/08/27

AVID: Adversarial Visual Irregularity Detection

2018/08/20

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

2018/07/30

Self-Attention Generative Adversarial Networks

2018/06/25

Random Erasing Data Augmentationとデータの前処理module@tensorflow

2018/06/11

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

2018/06/11

Privacy-preserving generative deep neural networks support clinical data sharing

2018/05/28

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions

2018/05/28

Semantic Instance Segmentation with a Discriminative Loss Function

2018/05/14

Shake-Shake regularization Improved Regularization of Convolutional Neural Networks with Cutout

2018/05/07

Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition

2018/04/16

Variational Approaches For Auto-Encoding Generative Adversarial Networks

2018/04/09

Learning Cross-modal Embeddings for Cooking Recipes and Food Images[CVPR 2017]

2018/03/26

Pruning Convolutional Neural Networks for Resource Efficient Inference

2018/03/19

Recurrent Ladder Networks

(日本語) slideshare
2018/03/12

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

2018/02/26

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

2018/02/19

Attention is All You Need

2018/02/05

Privacy-preserving generative deep neural networks support clinical data sharing

2018/01/29

Deep Sense: A Unified Deep Learning Framework for Time-SeriesMobile Sensing Data Processing

2018/01/22

Playing FPS Games with Deep Reinforcement Learning

2018/01/15

StyleNet: Generating Attractive Visual Captions with Styles

2017/12/11

Human-level control through deep reinforcement learning

2017/12/11

MIDINET: A Convolutional Generative Adversarial Network For Symbolic-Domain Music Generation

2017/12/04

Photographic Image Synthesis with Cascaded Refinement Networks

2017/11/27

A simple neural network module for relational reasoning

2017/11/20

Representation Learning by Rotating Your Faces

2017/11/13

The Conditional Analogy GAN: Swapping Fashion Articles on People Images

2017/11/06

Fully Convolutional Instance-aware Semantic Segmentation

2017/10/30

Network Dissection: Quantifying Interpretability of Deep Visual Representations

2017/10/16

Perceptual Adversarial Networks for Image-to-Image Transformation

2017/10/02

Neural Machine Translation in Linear Time

2017/09/25

How to Train Your DRAGAN

2017/09/11

Adversarial Feature Matching for Text Generation

2017/09/04

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

2017/08/28

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

2017/08/28

The Statistical Recurrent Unit

2017/08/21

DeepPose: Human Pose Estimation via Deep Neural Networks

Lightning Talk

DLHacks shares useful Tips for implementation.

2018/11/15
2018/06/25
2018/05/07

Requirment:

  • Finishing the lecture “Deep Learning Basics” or having basic knowledge of Deep Learning
  • Participate study meeting every week
  • Give a presentation

Entry:

Application form is below.

As of now, students are eligible to participate because they afford the time.

Application form

About DLHacks: