Pure dry 18-2016-2017 Deep learning-latest-must-read-classic paper

The collection focuses on the most advanced and classic papers in the field of 2016-2017 years of deep learning in NLP, image and voice applications.

Directory:

1 Code aspects

1.1 Code generation

1.2 Malware detection/security

2 NLP Field

2.1 Digest Generation

2.2 Taskbots

2.3 Classification

2.4 Question and answer system

2.5 sentiment analysis

2.6 Machine Translation

2.7 Chat Bots

2.8 Reasoning

3 Computing and visual aspects

3.1 Game Apps

3.2 Style Migration

3.3 Object Tracking

3.4 Visual Quiz

3.5 Image Segmentation

3.6 Text recognition

3.7 Brain Computer Interaction

3.8 Automatic Driving

3.9 Object Recognition

3.10 Identification Identification

3.11 High Definition Processing

3.12 Attitude Estimation

3.13 Image Markers

3.14 image Compression

3.15 image synthesis

3.16 Human Face recognition

4 Speech aspects

4.1 Speech synthesis

5 Other

5.1 Uncategorized

5.2 Regular

5.3 Neural Network compression

5.4 Optimizer

1 Code aspects

1.1 Code generation

Deepam:migrate APIs with multi-modal Sequence to Sequence learning Apr 2017

A syntactic neural Model for general-purpose Code Generation 6 Apr 2017

Robustfill:neural Program Learning under Noisy I/O 2017

Deepfix:fixing Common C Language Errors by Deep learning 2017

Deepcoder:learning to Write Programs 7 Nov 2016

Neuro-symbolic program Synthesis 6 Nov 2016

Deep API Learning 2016

1.2 Malware detection/security

Passgan:a Deep learning approach for Password guessing 1 Sep 2017

Deep Android Malware Detection paper

Droid-sec:deep Learning in Android Malware Detection paper

2 NLP Field

2.1 Digest Generation

A deep reinforced Model for abstractive summarization 2017

Get to the point:summarization with Pointer-generator Networks Apr 2017

SUMMARUNNER:A Recurrent neural Network based Sequence Model for extractive summarization of Documents 2016

2.2 Taskbots

Composite task-completion Dialogue Policy learning via hierarchical deep reinforcement learning Apr arxiv

End-to-end task-completion Neural Dialogue Systems 3 Mar arxiv

2.3 Classification

A Large self-annotated Corpus for sarcasm Apr 2017

ConceptNet at SemEval-2017 Task 2:extending Word embeddings with multilingual relational knowledge 2017 APR

Bilateral multi-perspective Matching for Natural Language sentences 2017

FastText.zip:Compressing Text classification Models 2016

ConceptNet 5.5:an Open Multilingual Graph of general knowledge 2016

A Simple but tough-to-beat Baseline for sentence embeddings 4 Nov paper

Enriching Word Vectors with Subword information 2016

From Word embeddings to Document distances 6 Jul paper

Bag of Tricks for efficient Text classification 6 Jul 2016

Character-level convolutional Networks for Text Classification 4 Sep 2015

Glove:global Vectors for Word representation paper

Improved Semantic representations from tree-structured Long short-term Memory Networks 2015

Distributed representations of sentences and Documents 2014

Efficient estimation of Word representations in Vector Space 2013 Jan

Simhash:hash-based Similarity Detection 2007

2.4 Question and answer system

Irgan:a Minimax Game for Unifying generative and discriminative information retrieval Models-arxiv GitHub STA Te-of-the-art

2.5 sentiment analysis

Rationalizing neural predictions June 2016

Recursive deep Models for Semantic compositionality over a sentiment Treebank 2013 okt

2.6 Machine Translation

Attention is all need June arxiv State-of-the-art

Convolutional Sequence to Sequence learning 8 arxiv GitHub State-of-the-art

Google ' s multilingual neural machine translation system:enabling zero-shot translation 2016

A convolutional Encoder Model for neural machine translation 7 Nov 2016

Google's neural machine translation system:bridging, the Gap between Human and machine translation Sep 2016

Neural machine translation by jointly learning to Align and Translate 1 Sep 2014

2.7 Chat Bots

A Deep Reinforcement Learning chatbot 7 Sep 2017

A Neural conversational Model June arxiv

2.8 Reasoning

Tracking the world, with recurrent Entity Networks Dec 2016

3 Computing and visual aspects

3.1 Game Apps

phase-functioned Neural Networks for Character Control 1 May 2017

Equivalence between Policy gradients and Soft q-learning Apr arxiv deep-q-learning beating Atari with Natural Lang Uage Guided Reinforcement Learning April arxiv deep-q-learning

Learning from demonstrations to Real world Reinforcement learning April arxiv deep-q-learning

Feudal Networks for hierarchical reinforcement learning 3 mar arxiv deep-q-learning

Overcoming catastrophic forgetting in neural Networks 2 Dec arxiv deep-q-learning

Playing Doom with slam-augmented deep reinforcement learning 1 Dec 2016

Playing FPS games with deep reinforcement learning Sep 2016

Deepchess:end-to-end deep neural Network for Automatic learning in Chess 2016

Generative adversarial imitation learning June 2016

Dueling Network architectures for deep reinforcement learning arxiv deep-q-learning

Prioritized Experience Replay 2015

Human-level control through deep reinforcement learning paper deep-q-learning

Playing Atari with deep reinforcement learning Dec arxiv deep-q-learning

3.2 Style Migration

Deep Photo Style Transfer 2017

Arbitrary Style Transfer in real-time with Adaptive Instance normalization-Mar arxiv

A learned representation for artistic Style Okt 2016

Instance normalization:the Missing ingredient for Fast stylization Jul 2016

Perceptual losses for real-time Style Transfer and super-resolution Mar arxiv

A Neural algorithm of artistic Style, arxiv

3.3 Object Tracking

End-to-end representation Learning for Correlation FILTER based tracking Apr arxiv

3.4 Visual Quiz

Vqa:visual Question Answering 3 May 2015

3.5 Image Segmentation

Dilated residual Networks 2017 Jul

Sfm-net:learning of Structure and Motion from Video Apr 2017

Semi and weakly supervised Semantic segmentation Using generative adversarial Network 2017

Mask r-cnn arxiv State-of-the-art

Learning Features by watching Objects Move Dec arxiv state-of-the-art

Refinenet:multi-path refinement Networks for high-resolution Semantic segmentation

Ubernet:training a ' Universal ' convolutional neural Network for low-, mid-, and high-level Vision using diverse Datasets and Limited Memory 7 Sep 2016

Deeplab:semantic Image segmentation with deep convolutional Nets, atrous convolution, and Fully Connected CRFs 2 June 2016

Fully convolutional Networks for Semantic segmentation

Instance-aware Semantic Segmentation via multi-task Network Cascades 2015

Multi-scale Context Aggregation by Dilated Convolutions 2015

Segnet:a Deep convolutional encoder-decoder Architecture for Image Segmentation 2 Nov 2015

U-net:convolutional Networks for Biomedical Image Segmentation 2015

Semantic Image segmentation with deep convolutional Nets and Fully Connected CRFs 2014

Learning Rich Features from rgb-d Images for Object Detection and Segmentation Jul 2014

3.6 Text recognition

OCR Error Correction Using Character Correction and feature-based Word classification Apr 2016

Recursive recurrent Nets with Attention Modeling for OCR in the Wild 9 Mar 2016

Coco-text:dataset and Benchmark for Text Detection and recognition in Natural Images 2016 Jan

Efficient Scene Text Localization and recognition with Local Character refinement Apr 2015

Reading Text in the Wild with convolutional neural Networks 4 Dec 2014

Synthetic Data and Artificial neural Networks for Natural Scene Text recognition 9 June 2014

3.7 Brain Computer Interaction

Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the H Uman EEG 2017

Encoding voxels with deep learning 2 Dec 2015

Deep neural Networks Reveal a Gradient in the complexity of neural representations across the ventral Stream 8 Jul 2015

3.8 Automatic Driving

Computer Vision for autonomous Vehicles:problems, Datasets and State-of-the-art Apr 2017

End to end learning for self-driving Cars Apr 2016

3.9 Object Recognition

Focal Loss for dense Object Detection 7 2017

Introspective Classifier learning:empower generatively Apr 2017

Learning Chained Deep Features and classifiers for Cascade in Object Detection 2017

Dssd:deconvolutional single Shot Detector arxiv state-of-the-art region-proposals

Yolo9000:better, Faster, stronger arxiv GitHub State-of-the-art region-proposals

Feature Pyramid Networks for Object Detection 9 Dec arxiv state-of-the-art

Speed/accuracy trade-offs for modern convolutional object Detectors 2016

Aggregated residual transformations for deep neural Networks 2016

Aggregated residual transformations for deep neural Networks 2016

Hierarchical Object Detection with deep reinforcement learning arxiv deep-q-learning

Xception:deep Learning with Depthwise separable convolutions 7 okt 2016

Learning to make Better mistakes:semantics-aware Visual food recognition 1 Okt 2016

Densely Connected convolutional Networks 2016

Residual Networks of residual networks:multilevel residual Networks 9 2016

Context matters:refining Object Detection in Video with recurrent neural Networks 2016

R-fcn:object Detection via region-based Fully convolutional Networks 2016

Training region-based Object detectors with Online hard Example Mining 2016 APR

T-cnn:tubelets with convolutional neural Networks for Object Detection from Videos 9 Apr 2016

INCEPTION-V4, Inception-resnet and the Impact of residual Connections on learning 2016

Deep residual learning for Image recognition 2015

Ssd:single Shot multibox Detector 8 Dec arxiv region-proposals

Fast and accurate deep Network learning by exponential Linear Units (ELUs) 2015

Parsenet:looking wider to see Better June 2015

You have look once:unified, real-time Object Detection 8 June arxiv Region-proposals

Faster r-cnn:towards Real-time Object Detection with region proposal Networks 4 June arxiv Region-proposals

Delving deep to rectifiers:surpassing human-level performance on IMAGENET classification 6 Feb 2015

Deep image:scaling up Image recognition Jan 2015

Rich feature hierarchies for accurate object detection and semantic Segmentation 2013

Selective Search for Object recognition 2013

ImageNet classification with deep convolutional neural Networks 3 Dec paper getting-started

3.10 Identification Identification

Deep learning Logos Detection with Data Expansion by Synthesising Context 2016

Automatic Graphic Logo Detection via Fast region-based convolutional Networks 2016 Apr

Logo-net:large-scale deep Logo Detection and Brand recognition with deep region-based convolutional Networks 8 Nov 2015

Deeplogo:hitting Logo recognition with the deep neural Network Hammer 7 okt 2015

3.11 High Definition Processing

Real-time single Image and Video super-resolution Using a efficient sub-pixel convolutional neural Network Sep 2016

Photo-realistic single Image super-resolution Using a generative adversarial Network Sep 2016

Raisr:rapid and accurate Image Super Resolution 3 June 2016

Perceptual losses for real-time Style Transfer and super-resolution Mar arxiv

Image super-resolution Using Deep convolutional Networks 2014

3.12 Attitude Estimation

Forecasting Human Dynamics from Static Images 2017 Apr

Fast single Shot Detection and Pose estimation Sep 2016

convolutional Pose Machines 2016 Jan

Flowing convnets for Human Pose estimation in Videos 9 June 2015

3.13 Image Markers

Actor-critic Sequence Training for Image captioning June 2017

Detecting and recognizing Human-object Interactions Apr 2017