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

Title	Date	Paper	Code	Labels
A Syntactic Neural Model for General-Purpose Code Generation	6 apr 2017	arxiv		None
RobustFill: Neural Program Learning under Noisy I/O	21 mar 2017	arxiv		None
DeepCoder: Learning to Write Programs	7 nov 2016	arxiv		None
Neuro-Symbolic Program Synthesis	6 nov 2016	arxiv		None

Sentiment Analysis

Title	Date	Paper	Code	Labels
Rationalizing Neural Predictions	13 jun 2016	arxiv		None
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank	18 okt 2013	paper		None

Translation

Title	Date	Paper	Code	Labels
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation	14 nov 2016	arxiv		None
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	26 sep 2016	arxiv		None

Classification

Title	Date	Paper	Code	Labels
A Simple but Tough-to-Beat Baseline for Sentence Embeddings	4 nov 2016	paper	github	None
From Word Embeddings To Document Distances	6 jul 2016	paper	github	None
Character-level Convolutional Networks for Text Classification	4 sep 2015	arxiv		None
GloVe: Global Vectors for Word Representation	25 may 2015	paper	github	None
Distributed Representations of Sentences and Documents	16 may 2014	arxiv		None
Efficient Estimation of Word Representations in Vector Space	16 jan 2013	arxiv		None

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

Title	Date	Paper	Code	Labels
Deep Photo Style Transfer	22 mar 2017	arxiv		None
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization	20 mar 2017	arxiv	github	None
A Learned Representation For Artistic Style	24 okt 2016	arxiv		None
Instance Normalization: The Missing Ingredient for Fast Stylization	27 jul 2016	arxiv		None
Perceptual Losses for Real-Time Style Transfer and Super-Resolution	27 mar 2016	arxiv	github	None
A Neural Algorithm of Artistic Style	26 aug 2015	arxiv	github	None

Tracking

Title	Date	Paper	Code	Labels
End-to-end representation learning for Correlation Filter based tracking	20 apr 2017	arxiv	github	None

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

Title	Date	Paper	Code	Labels
OCR Error Correction Using Character Correction and Feature-Based Word Classification	21 apr 2016	arxiv		None
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild	9 mar 2016	arxiv		None
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images	26 jan 2016	arxiv		None
Efficient Scene Text Localization and Recognition with Local Character Refinement	14 apr 2015	arxiv		None
Reading Text in the Wild with Convolutional Neural Networks	4 dec 2014	arxiv		None
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition	9 jun 2014	arxiv		None

Brain Computer Interfacing

Title	Date	Paper	Code	Labels
Encoding Voxels with Deep Learning	2 dec 2015	paper		None
Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream	8 jul 2015	paper		None

Self-Driving Cars

Title	Date	Paper	Code	Labels
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art	18 apr 2017	arxiv		None
End to End Learning for Self-Driving Cars	25 apr 2016	arxiv		None

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

Title	Date	Paper	Code	Labels
Deep Learning Logo Detection with Data Expansion by Synthesising Context	29 dec 2016	arxiv		None
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks	20 apr 2016	arxiv		None
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks	8 nov 2015	arxiv		None
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer	7 okt 2015	arxiv		None

Super Resolution

Title	Date	Paper	Code	Labels
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	16 sep 2016	arxiv		None
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	15 sep 2016	arxiv		None
RAISR: Rapid and Accurate Image Super Resolution	3 jun 2016	arxiv		None
Perceptual Losses for Real-Time Style Transfer and Super-Resolution	27 mar 2016	arxiv	github	None
Image Super-Resolution Using Deep Convolutional Networks	31 dec 2014	arxiv		None

Pose Estimation

Title	Date	Paper	Code	Labels
Forecasting Human Dynamics from Static Images	11 apr 2017	arxiv		None
Fast Single Shot Detection and Pose Estimation	19 sep 2016	arxiv		None

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

Title	Date	Paper	Code	Labels
Full Resolution Image Compression with Recurrent Neural Networks	18 aug 2016	arxiv		None

Image Synthesis

Title	Date	Paper	Code	Labels
A Neural Representation of Sketch Drawings	11 apr 2017	arxiv		None
BEGAN: Boundary Equilibrium Generative Adversarial Networks	31 mar 2017	arxiv	github	None
Improved Training of Wasserstein GANs	31 mar 2017	arxiv		None
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks	30 mar 2017	arxiv	github	None
RenderGAN: Generating Realistic Labeled Data	4 nov 2016	arxiv		None
Conditional Image Generation with PixelCNN Decoders	16 jun 2016	arxiv		None
Pixel Recurrent Neural Networks	25 jan 2016	arxiv		None

Face Recognition

Title	Date	Paper	Code	Labels
Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition	24 okt 2016	paper		None
OpenFace: A general-purpose face recognition library with mobile applications	1 jun 2016	paper		None
Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns	9 nov 2015	paper		None
Deep Face Recognition	7 sep 2015	paper		None
Compact Convolutional Neural Network Cascade for Face Detection	6 aug 2015	arxiv		None
Learning Robust Deep Face Representation	17 jul 2015	arxiv		None
Facenet: A unified embedding for face recognition and clustering	12 jun 2015	paper		None
Multi-view Face Detection Using Deep Convolutional Neural Networks	10 feb 2015	arxiv		None

Audio

Audio Synthesis

Title	Date	Paper	Code	Labels
A Neural Parametric Singing Synthesizer	12 apr 2017	arxiv		None
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders	5 apr 2017	arxiv	github	None
Tacotron: Towards End-to-End Speech Synthesis	29 mar 2017	arxiv		None
Deep Voice: Real-time Neural Text-to-Speech	25 feb 2017	arxiv		None
WaveNet: A Generative Model for Raw Audio	12 sep 2016	arxiv	github	None

Other

Unclassified

Title	Date	Paper	Code	Labels
Who Said What: Modeling Individual Labelers Improves Classification	26 mar 2017	arxiv		None
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data	18 okt 2016	arxiv		None
DeepMath - Deep Sequence Models for Premise Selection	14 jun 2016	arxiv		None
Long Short-Term Memory	15 nov 1997	paper		None

Regularization

Title	Date	Paper	Code	Labels
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	6 jun 2015	arxiv		None
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	11 feb 2015	arxiv		None

Neural Network Compression

Title	Date	Paper	Code	Labels
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	24 feb 2016	arxiv		None
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	1 okt 2015	arxiv		None

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