sbrugman / deep-learning-papers
- четверг, 4 мая 2017 г. в 03:13:41
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
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 mirror of the original paper in this repository.
1.1. Code Generation
1.2. Sentiment Analysis
1.3. Translation
1.4. Classification
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
3.1. Audio Synthesis
4.1. Unclassified
4.2. Regularization
4.3. Neural Network Compression
4.4. Optimizers
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 |
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 |
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 |
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 |
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 |
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 |
Title | Date | Paper | Code | Labels |
---|---|---|---|---|
End-to-end representation learning for Correlation Filter based tracking | 20 apr 2017 | arxiv | github | None |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
Title | Date | Paper | Code | Labels |
---|---|---|---|---|
Full Resolution Image Compression with Recurrent Neural Networks | 18 aug 2016 | arxiv | None |
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 |
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 |
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 |
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 | |
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue | 16 mar 2016 | arxiv | None | |
Long Short-Term Memory | 15 nov 1997 | paper | None |
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 |
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 |
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 |