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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. For each paper there is a permanent link, which is either to Arxiv.org or to a copy of the original paper in this repository.

Table of Contents

  1. Code

    1.1. Code Generation

    1.2. Malware Detection/Security

  2. Text

    2.1. Summarization

    2.2. Taskbots

    2.3. Classification

    2.4. Question Answering

    2.5. Sentiment Analysis

    2.6. Translation

    2.7. Chatbots

    2.8. Reasoning

  3. Visual

    3.1. Gaming

    3.2. Style Transfer

    3.3. Object Tracking

    3.4. Visual Question Answering

    3.5. Image Segmentation

    3.6. Text (in the Wild) Recognition

    3.7. Brain Computer Interfacing

    3.8. Self-Driving Cars

    3.9. Object Recognition

    3.10. Logo Recognition

    3.11. Super Resolution

    3.12. Pose Estimation

    3.13. Image Captioning

    3.14. Image Compression

    3.15. Image Synthesis

    3.16. Face Recognition

  4. Audio

    4.1. Audio Synthesis

  5. Other

    5.1. Unclassified

    5.2. Regularization

    5.3. Neural Network Compression

    5.4. Optimizers

Code

Code Generation

TitleDatePaperCodeLabels
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning25 apr 2017arxivNone
A Syntactic Neural Model for General-Purpose Code Generation6 apr 2017arxivNone
RobustFill: Neural Program Learning under Noisy I/O21 mar 2017arxivNone
DeepFix: Fixing Common C Language Errors by Deep Learning12 feb 2017paperNone
DeepCoder: Learning to Write Programs7 nov 2016arxivNone
Neuro-Symbolic Program Synthesis6 nov 2016arxivNone
Deep API Learning27 may 2016arxivNone

Malware Detection/Security

TitleDatePaperCodeLabels
PassGAN: A Deep Learning Approach for Password Guessing1 sep 2017arxivNone
Deep Android Malware Detection22 mar 2016papergithubNone
Droid-Sec: Deep Learning in Android Malware Detection17 aug 2014papergithubNone

Text

Summarization

TitleDatePaperCodeLabels
A Deep Reinforced Model for Abstractive Summarization11 may 2017arxivNone
Get To The Point: Summarization with Pointer-Generator Networks14 apr 2017arxivNone
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents14 nov 2016arxivNone

Taskbots

TitleDatePaperCodeLabels
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning10 apr 2017arxivgithubNone
End-to-End Task-Completion Neural Dialogue Systems3 mar 2017arxivgithubNone

Classification

TitleDatePaperCodeLabels
A Large Self-Annotated Corpus for Sarcasm19 apr 2017arxivNone
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge11 apr 2017arxivNone
Bilateral Multi-Perspective Matching for Natural Language Sentences13 feb 2017arxivNone
FastText.zip: Compressing text classification models12 dec 2016arxivNone
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge12 dec 2016arxivNone
A Simple but Tough-to-Beat Baseline for Sentence Embeddings4 nov 2016papergithubNone
Enriching Word Vectors with Subword Information15 jul 2016arxivNone
From Word Embeddings To Document Distances6 jul 2016papergithubNone
Bag of Tricks for Efficient Text Classification6 jul 2016arxivNone
Character-level Convolutional Networks for Text Classification4 sep 2015arxivNone
GloVe: Global Vectors for Word Representation25 may 2015papergithubNone
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks28 feb 2015arxivNone
Distributed Representations of Sentences and Documents16 may 2014arxivNone
Efficient Estimation of Word Representations in Vector Space16 jan 2013arxivNone
SimHash: Hash-based Similarity Detection13 dec 2007paperNone

Question Answering

TitleDatePaperCodeLabels
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models30 may 2017arxivgithubstate-of-the-art

Sentiment Analysis

TitleDatePaperCodeLabels
Rationalizing Neural Predictions13 jun 2016arxivNone
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank18 okt 2013paperNone

Translation

TitleDatePaperCodeLabels
Attention Is All You Need12 jun 2017arxivstate-of-the-art
Convolutional Sequence to Sequence Learning8 may 2017arxivgithubstate-of-the-art
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation14 nov 2016arxivNone
A Convolutional Encoder Model for Neural Machine Translation7 nov 2016arxivNone
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation26 sep 2016arxivNone
Neural Machine Translation by Jointly Learning to Align and Translate1 sep 2014arxivNone

Chatbots

TitleDatePaperCodeLabels
A Deep Reinforcement Learning Chatbot7 sep 2017arxivNone
A Neural Conversational Model19 jun 2015arxivgithubNone

Reasoning

TitleDatePaperCodeLabels
Tracking the World State with Recurrent Entity Networks12 dec 2016arxivNone

Visual

Gaming

TitleDatePaperCodeLabels
Phase-Functioned Neural Networks for Character Control1 may 2017paperNone
Equivalence Between Policy Gradients and Soft Q-Learning21 apr 2017arxivdeep-q-learning
Beating Atari with Natural Language Guided Reinforcement Learning18 apr 2017arxivdeep-q-learning
Learning from Demonstrations for Real World Reinforcement Learning12 apr 2017arxivdeep-q-learning
FeUdal Networks for Hierarchical Reinforcement Learning3 mar 2017arxivdeep-q-learning
Overcoming catastrophic forgetting in neural networks2 dec 2016arxivdeep-q-learning
Playing Doom with SLAM-Augmented Deep Reinforcement Learning1 dec 2016arxivNone
Playing FPS Games with Deep Reinforcement Learning18 sep 2016arxivNone
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess16 aug 2016paperNone
Generative Adversarial Imitation Learning10 jun 2016arxivNone
Dueling Network Architectures for Deep Reinforcement Learning20 nov 2015arxivdeep-q-learning
Prioritized Experience Replay18 nov 2015arxivNone
Human-level control through deep reinforcement learning26 feb 2015paperdeep-q-learning
Playing Atari with Deep Reinforcement Learning19 dec 2013arxivdeep-q-learning

Style Transfer

TitleDatePaperCodeLabels
Deep Photo Style Transfer22 mar 2017arxivNone
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization20 mar 2017arxivgithubNone
A Learned Representation For Artistic Style24 okt 2016arxivNone
Instance Normalization: The Missing Ingredient for Fast Stylization27 jul 2016arxivNone
Perceptual Losses for Real-Time Style Transfer and Super-Resolution27 mar 2016arxivgithubNone
A Neural Algorithm of Artistic Style26 aug 2015arxivgithubNone

Object Tracking

TitleDatePaperCodeLabels
End-to-end representation learning for Correlation Filter based tracking20 apr 2017arxivgithubNone

Visual Question Answering

TitleDatePaperCodeLabels
VQA: Visual Question Answering3 may 2015arxivNone

Image Segmentation

TitleDatePaperCodeLabels
Dilated Residual Networks22 jul 2017paperNone
SfM-Net: Learning of Structure and Motion from Video25 apr 2017arxivNone
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network28 mar 2017arxivNone
Mask R-CNN20 mar 2017arxivstate-of-the-art
Learning Features by Watching Objects Move19 dec 2016arxivstate-of-the-art
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation20 nov 2016arxivgithubNone
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory7 sep 2016arxivNone
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs2 jun 2016arxivNone
Fully Convolutional Networks for Semantic Segmentation20 may 2016arxivgithubNone
Instance-aware Semantic Segmentation via Multi-task Network Cascades14 dec 2015arxivNone
Multi-Scale Context Aggregation by Dilated Convolutions23 nov 2015arxivNone
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation2 nov 2015arxivNone
U-Net: Convolutional Networks for Biomedical Image Segmentation18 may 2015arxivNone
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs22 dec 2014arxivNone
Learning Rich Features from RGB-D Images for Object Detection and Segmentation22 jul 2014arxivNone

Text (in the Wild) Recognition

TitleDatePaperCodeLabels
OCR Error Correction Using Character Correction and Feature-Based Word Classification21 apr 2016arxivNone
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild9 mar 2016arxivNone
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images26 jan 2016arxivNone
Efficient Scene Text Localization and Recognition with Local Character Refinement14 apr 2015arxivNone
Reading Text in the Wild with Convolutional Neural Networks4 dec 2014arxivNone
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition9 jun 2014arxivNone

Brain Computer Interfacing

TitleDatePaperCodeLabels
Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG15 mar 2017arxivNone
Encoding Voxels with Deep Learning2 dec 2015paperNone
Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream8 jul 2015paperNone

Self-Driving Cars

TitleDatePaperCodeLabels
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art18 apr 2017arxivNone
End to End Learning for Self-Driving Cars25 apr 2016arxivNone

Object Recognition

TitleDatePaperCodeLabels
Focal Loss for Dense Object Detection7 aug 2017arxivNone
Introspective Classifier Learning: Empower Generatively25 apr 2017arxivNone
Learning Chained Deep Features and Classifiers for Cascade in Object Detection23 feb 2017arxivNone
DSSD : Deconvolutional Single Shot Detector23 jan 2017arxivstate-of-the-artregion-proposals
YOLO9000: Better, Faster, Stronger25 dec 2016arxivgithubstate-of-the-artregion-proposals
Feature Pyramid Networks for Object Detection9 dec 2016arxivstate-of-the-art
Speed/accuracy trade-offs for modern convolutional object detectors30 nov 2016arxivNone
Aggregated Residual Transformations for Deep Neural Networks16 nov 2016arxivNone
Aggregated Residual Transformations for Deep Neural Networks16 nov 2016arxivNone
Hierarchical Object Detection with Deep Reinforcement Learning11 nov 2016arxivdeep-q-learning
Xception: Deep Learning with Depthwise Separable Convolutions7 okt 2016arxivNone
Learning to Make Better Mistakes: Semantics-aware Visual Food Recognition1 okt 2016paperNone
Densely Connected Convolutional Networks25 aug 2016arxivNone
Residual Networks of Residual Networks: Multilevel Residual Networks9 aug 2016arxivNone
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks15 jul 2016arxivNone
R-FCN: Object Detection via Region-based Fully Convolutional Networks20 may 2016arxivNone
Training Region-based Object Detectors with Online Hard Example Mining12 apr 2016arxivNone
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos9 apr 2016arxivNone
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning23 feb 2016arxivNone
Deep Residual Learning for Image Recognition10 dec 2015arxivNone
SSD: Single Shot MultiBox Detector8 dec 2015arxivregion-proposals
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)23 nov 2015arxivNone
ParseNet: Looking Wider to See Better15 jun 2015arxivNone
You Only Look Once: Unified, Real-Time Object Detection8 jun 2015arxivregion-proposals
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks4 jun 2015arxivregion-proposals
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification6 feb 2015arxivNone
Deep Image: Scaling up Image Recognition13 jan 2015arxivNone
Rich feature hierarchies for accurate object detection and semantic segmentation11 nov 2013arxivNone
Selective Search for Object Recognition11 mar 2013paperNone
ImageNet Classification with Deep Convolutional Neural Networks3 dec 2012papergetting-started

Logo Recognition

TitleDatePaperCodeLabels
Deep Learning Logo Detection with Data Expansion by Synthesising Context29 dec 2016arxivNone
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks20 apr 2016arxivNone
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks8 nov 2015arxivNone
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer7 okt 2015arxivNone

Super Resolution

TitleDatePaperCodeLabels
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network16 sep 2016arxivNone
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network15 sep 2016arxivNone
RAISR: Rapid and Accurate Image Super Resolution3 jun 2016arxivNone
Perceptual Losses for Real-Time Style Transfer and Super-Resolution27 mar 2016arxivgithubNone
Image Super-Resolution Using Deep Convolutional Networks31 dec 2014arxivNone

Pose Estimation

TitleDatePaperCodeLabels
Forecasting Human Dynamics from Static Images11 apr 2017arxivNone
Fast Single Shot Detection and Pose Estimation19 sep 2016arxivNone
Convolutional Pose Machines30 jan 2016arxivNone
Flowing ConvNets for Human Pose Estimation in Videos9 jun 2015arxivNone

Image Captioning

TitleDatePaperCodeLabels
Actor-Critic Sequence Training for Image Captioning29 jun 2017arxivNone
Detecting and Recognizing Human-Object Interactions24 apr 2017arxivNone
Deep Reinforcement Learning-based Image Captioning with Embedding Reward12 apr 2017arxivdeep-q-learning
Towards Diverse and Natural Image Descriptions via a Conditional GAN17 mar 2017arxivNone
Temporal Tessellation: A Unified Approach for Video Analysis21 dec 2016arxivgithubNone
Self-critical Sequence Training for Image Captioning2 dec 2016arxivNone
Generation and Comprehension of Unambiguous Object Descriptions7 nov 2015arxivNone
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention10 feb 2015arxivNone
Long-term Recurrent Convolutional Networks for Visual Recognition and Description17 nov 2014arxivNone

Image Compression

TitleDatePaperCodeLabels
Full Resolution Image Compression with Recurrent Neural Networks18 aug 2016arxivNone

Image Synthesis

TitleDatePaperCodeLabels
A Neural Representation of Sketch Drawings11 apr 2017arxivNone
BEGAN: Boundary Equilibrium Generative Adversarial Networks31 mar 2017arxivgithubNone
Improved Training of Wasserstein GANs31 mar 2017arxivNone
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks30 mar 2017arxivgithubNone
Wasserstein GAN26 jan 2017arxivNone
RenderGAN: Generating Realistic Labeled Data4 nov 2016arxivNone
Conditional Image Generation with PixelCNN Decoders16 jun 2016arxivNone
Pixel Recurrent Neural Networks25 jan 2016arxivNone
Generative Adversarial Networks10 jun 2014arxivNone

Face Recognition

TitleDatePaperCodeLabels
Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition24 okt 2016paperNone
OpenFace: A general-purpose face recognition library with mobile applications1 jun 2016paperNone
Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns9 nov 2015paperNone
Deep Face Recognition7 sep 2015paperNone
Compact Convolutional Neural Network Cascade for Face Detection6 aug 2015arxivNone
Learning Robust Deep Face Representation17 jul 2015arxivNone
Facenet: A unified embedding for face recognition and clustering12 jun 2015paperNone
Multi-view Face Detection Using Deep Convolutional Neural Networks10 feb 2015arxivNone

Audio

Audio Synthesis

TitleDatePaperCodeLabels
Deep Cross-Modal Audio-Visual Generation26 apr 2017arxivNone
A Neural Parametric Singing Synthesizer12 apr 2017arxivNone
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders5 apr 2017arxivgithubNone
Tacotron: Towards End-to-End Speech Synthesis29 mar 2017arxivgithubNone
Deep Voice: Real-time Neural Text-to-Speech25 feb 2017arxivNone
WaveNet: A Generative Model for Raw Audio12 sep 2016arxivgithubNone

Other

Unclassified

TitleDatePaperCodeLabels
A simple neural network module for relational reasoning5 jun 2017arxivstate-of-the-art
Deep Complex Networks27 may 2017arxivgithubNone
Learning to Fly by Crashing19 apr 2017arxivNone
Who Said What: Modeling Individual Labelers Improves Classification26 mar 2017arxivNone
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data18 okt 2016arxivNone
DeepMath - Deep Sequence Models for Premise Selection14 jun 2016arxivNone
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue16 mar 2016arxivNone
Long Short-Term Memory15 nov 1997paperNone

Regularization

TitleDatePaperCodeLabels
Self-Normalizing Neural Networks8 jun 2017arxivstate-of-the-art
Concrete Dropout22 may 2017arxivgithubNone
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning6 jun 2015arxivNone
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift11 feb 2015arxivNone

Neural Network Compression

TitleDatePaperCodeLabels
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure15 aug 2016arxivNone
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size24 feb 2016arxivNone
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding1 okt 2015arxivNone

Optimizers

TitleDatePaperCodeLabels
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour8 jun 2017arxivstate-of-the-art
Equilibrated adaptive learning rates for non-convex optimization15 feb 2015arxivNone
Adam: A Method for Stochastic Optimization22 dec 2014arxivNone
Deep learning with Elastic Averaging SGD20 dec 2014arxivNone
ADADELTA: An Adaptive Learning Rate Method22 dec 2012arxivNone
Advances in Optimizing Recurrent Networks4 dec 2012arxivNone
Efficient Backprop1 jul 1998papergetting-started

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Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

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