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

 

実装

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

(English) Blog
(English) github
(English) SlideShare
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

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では、実装する上で役立つTipsを共有しています。

2018/11/15
2018/06/25
2018/05/07
2017/09/04

pytorch’s DataLoader

2017/08/07

参加条件:

  • Deep Learning基礎講座修了か、もしくは同等レベルの知識を持つこと
  • 基本的に毎週の勉強会に参加する
  • 定期的に回ってくる自分の番に発表する

参加方法:

下記参加フォームから参加申し込みをしていただけます。

現在は時間を確保できるという理由で学生に絞らせていただいております。

参加フォーム

DLHacksについて: