Deep Learning Papers by task

Papers about deep learning ordered by task, date. Current state-of-the-art papers and papers useful for getting started are labelled.

Table of Contents

1. Text

   1.1. Code Generation

   1.2. Sentiment Analysis

   1.3. Translation

   1.4. Classification

2. Visual

   2.1. Gaming

   2.2. Style Transfer

   2.3. Tracking

   2.4. Image Segmentation

   2.5. Text (in the Wild) Recognition

   2.6. Brain Computer Interfacing

   2.7. Self-Driving Cars

   2.8. Object Recognition

   2.9. Logo Recognition

   2.10. Super Resolution

   2.11. Pose Estimation

   2.12. Image Captioning

   2.13. Image Compression

   2.14. Image Synthesis

   2.15. Face Recognition

3. Audio

   3.1. Audio Synthesis

4. Other

   4.1. Unclassified

   4.2. Regularization

   4.3. Neural Network Compression

   4.4. Optimizers

Text

Code Generation

Sentiment Analysis

Translation

Classification

Visual

Gaming

Title	Date	Paper	Code	Labels
Phase-Functioned Neural Networks for Character Control	1 may 2017	paper		None
Equivalence Between Policy Gradients and Soft Q-Learning	21 apr 2017	arxiv
Beating Atari with Natural Language Guided Reinforcement Learning	18 apr 2017	arxiv
Learning from Demonstrations for Real World Reinforcement Learning	12 apr 2017	arxiv
FeUdal Networks for Hierarchical Reinforcement Learning	3 mar 2017	arxiv
Overcoming catastrophic forgetting in neural networks	2 dec 2016	arxiv
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess	16 aug 2016	paper		None
Dueling Network Architectures for Deep Reinforcement Learning	20 nov 2015	arxiv
Human-level control through deep reinforcement learning	26 feb 2015	paper
Playing Atari with Deep Reinforcement Learning	19 dec 2013	arxiv

Style Transfer

Tracking

Image Segmentation

Title	Date	Paper	Code	Labels
SfM-Net: Learning of Structure and Motion from Video	25 apr 2017	arxiv		None
Mask R-CNN	20 mar 2017	arxiv
Learning Features by Watching Objects Move	19 dec 2016	arxiv
Fully Convolutional Networks for Semantic Segmentation	20 may 2016	arxiv		None
Instance-aware Semantic Segmentation via Multi-task Network Cascades	14 dec 2015	arxiv		None
Multi-Scale Context Aggregation by Dilated Convolutions	23 nov 2015	arxiv		None
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2 nov 2015	arxiv		None
Learning Rich Features from RGB-D Images for Object Detection and Segmentation	22 jul 2014	arxiv		None

Text (in the Wild) Recognition

Brain Computer Interfacing

Self-Driving Cars

Object Recognition

Title	Date	Paper	Code	Labels
Introspective Classifier Learning: Empower Generatively	25 apr 2017	arxiv		None
Learning Chained Deep Features and Classifiers for Cascade in Object Detection	23 feb 2017	arxiv		None
DSSD : Deconvolutional Single Shot Detector	23 jan 2017	arxiv
YOLO9000: Better, Faster, Stronger	25 dec 2016	arxiv	github
Feature Pyramid Networks for Object Detection	9 dec 2016	arxiv
Speed/accuracy trade-offs for modern convolutional object detectors	30 nov 2016	arxiv		None
Aggregated Residual Transformations for Deep Neural Networks	16 nov 2016	arxiv		None
Aggregated Residual Transformations for Deep Neural Networks	16 nov 2016	arxiv		None
Hierarchical Object Detection with Deep Reinforcement Learning	11 nov 2016	arxiv
Xception: Deep Learning with Depthwise Separable Convolutions	7 okt 2016	arxiv		None
Learning to Make Better Mistakes: Semantics-aware Visual Food Recognition	1 okt 2016	paper		None
Densely Connected Convolutional Networks	25 aug 2016	arxiv		None
Residual Networks of Residual Networks: Multilevel Residual Networks	9 aug 2016	arxiv		None
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks	15 jul 2016	arxiv		None
R-FCN: Object Detection via Region-based Fully Convolutional Networks	20 may 2016	arxiv		None
Training Region-based Object Detectors with Online Hard Example Mining	12 apr 2016	arxiv		None
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos	9 apr 2016	arxiv		None
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	23 feb 2016	arxiv		None
Deep Residual Learning for Image Recognition	10 dec 2015	arxiv		None
SSD: Single Shot MultiBox Detector	8 dec 2015	arxiv
ParseNet: Looking Wider to See Better	15 jun 2015	arxiv		None
You Only Look Once: Unified, Real-Time Object Detection	8 jun 2015	arxiv
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	4 jun 2015	arxiv
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	6 feb 2015	arxiv		None
Deep Image: Scaling up Image Recognition	13 jan 2015	arxiv		None
Rich feature hierarchies for accurate object detection and semantic segmentation	11 nov 2013	arxiv		None
Selective Search for Object Recognition	11 mar 2013	paper		None
ImageNet Classification with Deep Convolutional Neural Networks	3 dec 2012	paper

Logo Recognition

Super Resolution

Pose Estimation

Image Captioning

Title	Date	Paper	Code	Labels
Detecting and Recognizing Human-Object Interactions	24 apr 2017	arxiv		None
Deep Reinforcement Learning-based Image Captioning with Embedding Reward	12 apr 2017	arxiv
Generation and Comprehension of Unambiguous Object Descriptions	7 nov 2015	arxiv		None
Long-term Recurrent Convolutional Networks for Visual Recognition and Description	17 nov 2014	arxiv		None

Image Compression

Image Synthesis

Face Recognition

Audio

Audio Synthesis

Other

Unclassified

Regularization

Neural Network Compression

Optimizers

Title	Date	Paper	Code	Labels
Adam: A Method for Stochastic Optimization	22 dec 2014	arxiv		None
Deep learning with Elastic Averaging SGD	20 dec 2014	arxiv		None
ADADELTA: An Adaptive Learning Rate Method	22 dec 2012	arxiv		None
Advances in Optimizing Recurrent Networks	4 dec 2012	arxiv		None
Efficient Backprop	1 jul 1998	paper