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Deep Learning for Natural Language Processing

If you have any interest in computer vision & natural language processing, you can visit the course site.

Computer Vision + Natural Language Processing

NameDescriptions
OpenNMT-py(OpenNMT)Open Source Neural Machine Translation in PyTorch
NMT.pytorchNeural machine translation based on PyTorch
Question_Answering.pytorchQuestion Answering, Visual Question Answering, and Dialogue
Visual_Question_Answering.pytorchVisual Question Answering
Dialogue.pytorchDialog Generation
Visual_Dialogue.pytorchVisual Dialog
Deep_Trader.pytorch This project uses Reinforcement learning on stock market and agent tries to learn trading.
Text_Classification.pytorchText Classification
Multimodal_Retrieval.pytorchMulti-Modal and Cross-Modal Retrieval
Chinese_PoetryGen.pytorchChinese Poetry Generation
Video_Captioning.pytorchVideo Captioning
Stack-CaptioningStack-Captioning: Coarse-to-Fine Learning for Image Captioning

Recent Advances

TimeName
20180601Deep Learning for Mecidal Image
20180601Deep Learning for Lung Cancer Detection
20171117Look Imagine and Match Improving Textual Visual Cross Modal Retrieval with Generative Models
20170806Makeup Go Blind Reversion of Portrait Edit
20170407 High Quality Correspondence and Segmentation Estimation for Dual Lens Smart Phone Portraits
20170927ICNet for Real Time Semantic Segmentation on High Resolution Images
20170904Unsupervised Learning of Stereo Matching
20161001Deep Automatic Portrait Matting
20180204Graph attention networks
20170412Realtime Multi Person 2D Pose Estimation using Part Affinity Fields
20150430Fast R-CNN
20170502A Teacher-Student Framework for Zero-Resource Neural Machine Translation
20180404Image Generation from Scene Graphs
20171031Unsupervised Machine Translation Using Monolingual Corpora Only
20161115Joint training for pivot-based neural machine translation
20170612Attention is All You Need
20140901Neural Machine Translation by Jointly Learning to Align and Translate
20150804Effective approaches to attention-based neural machine translation
20171002Interpretable Convolutional Neural Networks
20171115look imagine and match improving textual-visual cross-modal retrieval with generative models
20180322deep learning python
20170203Multi-View Clustering via Deep Matrix Factorization
20171030Unsupervised Neural Machine Translation
20170502Unsupervised Image to Image Translation Networks
20171022an empirical study of language cnn for image captioning
20170711why we need scheduled sampling
20150902A Neural Attention Model for Abstractive Sentence Summarization
20170510Inferring and Executing Programs for Visual Reasoning
20170605Language Generation with Recurrent Generative Adversarial Networks without Pre-training
20170503Convolutional Sequence to Sequence Learning
20170511A Deep Reinforced Model for Abstractive Summarization
20170411A neural representation of sketch drawings
20170401Categorical Reparameterization with Gumbel-Softmax
20170305The Concrete Distribution: a Continuous Relaxation of Discrete Random Variables
20160621R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng
20170218MAT A Multimodal Attentive Translator for Image Captioning
20170324Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech
20170326Learning Simpler Language Models with the Delta Recurrent Neural Network Framework
20160501Delving Deeper into Convolutional Networks for Learning Video Representations
20151001Holistically-Nested Edge Detection
20160819Pixel Recurrent Neural Networks
20161125Semantic Segmentation using Adversarial Networks
20161201Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
20161017Interactive Attention for Neural Machine Translation
20160204Spatial Transformer Networks
20150622Skip Thought Vectors
20130904Exploring convolutional neural network structures and optimization techniques for speech recognition
20160605Generative Adversarial Text to Image Synthesis
20150216DRAW A Recurrent Neural Network For Image Generation
20160404Image Captioning with Deep Bidirectional LSTMs
20160416Learning Models for Actions and Person-ObjectInteractions with Transfer to QuestionAnswering
20150210Show Attend and Tell Neural Image Caption Generation with Visual Attention
20160509Ask Your Neurons A Deep Learning Approach to Visual Question Answering
20160524Hierarchical Memory Networks
20160529Generating images with recurrent adversarial networks
20160320Segmentation from Natural Language Expressions
20160803Learning Online Alignments with Continuous Rewards Policy Gradient
20140610Generative Adversarial Networks
20160726An Actor-Critic Algorithm for Sequence Prediction
20160420Question Answering via Integer Programming over Semi-Structured Knowledge
20160713Recurrent Memory Array Structures
20160715Attention-over-Attention Neural Networks for Reading Comprehension
20160615Progressive Neural Networks
20160209Associative Long Short-Term Memory
20151118Learning to Answer Questions From Image Using Convolutional Neural Network
20151026Thinking on your Feet Reinforcement Learning for Incremental Language Tasks
20150303Sequence to Sequence Video to Text
20160406Improving LSTM-based Video Descriptionwith Linguistic Knowledge Mined from Text
20150212Phrase based Image Captioning
20160328Generating Visual Explanations
20151117Deep Compositional Captioning Describing Novel Object Categories without Paired Training Data
20151026Video Paragraph Captioning using Hierarchical RecurrentNeuralNetworks
20150609Pointer Networks
20160406A Focused Dynamic Attention Model for VQA
20151122Ask me anything Free-form visual question answering based on knowledge from external sources
20151123Where to look Focus regions for visual question answering
20151118Image question answering using convolutional neural network with dynamic parameter prediction
20150331End-To-End Memory Networks
20151109Deep Compositional Question Answering with Neural Module Networks
20151118An attention based convolutional neural network for visual question answering
20151107Stacked attention networks for image question answering
20160228Generating Visual Explanations
20160207Learning to Compose Neural Networks for Question Answering
20151209MovieQA Understanding Stories in Movies through Question-Answering
20151107Simple Baseline for Visual Question Answering
20160324A Diagram Is Worth A Dozen Images
20110216A reinforcement learning framework for answering complex questions
20151118Compositional Memory for Visual Question Answering
20160304Dynamic Memory Networks for Visual and Textual Question Answering
20151117Ask, Attend and Answer Exploring question-guided spatial attention for visual question answering
20150505Ask Your Neurons A Neural-based Approach to Answering Questions about Images
20151109Explicit Knowledge-based Reasoning for Visual Question Answering
20151029Attention with Intention for a Neural Network Conversation Model
20140624Recurrent Models of Visual Attention
20150209Gated Feedback Recurrent Networks
20140910Sequence to Sequence Learning with Neural Networks
20150503ReNet A Recurrent Neural Network Based Alternative to Convolutional Networks
20150204Spatial Transformer Networks
20160206WebNav A New Large-Scale Task for Natural Language based Sequential Decision Making
20160509Parse tree
20151227Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews
20150507Object detection via a multi-region & semantic segmentation-aware CNN model
20151201Multilingual Language Processing From Bytes
20150610Teaching Machines to Read and Comprehend
20160110Strategies for Training Large Vocabulary Neural Language Models
20150205Text Understanding from Scratch
20150826Character-Aware Neural Language Models
20141223Grammar as a Foreign Langauage
20151111Larger-Context Language Modeling
20160207Exploring the Limits of Language Modeling
20150205Character-level Convolutional Networks for Text Classification
20150619A Neural Conversational Model
20150626On Using Very Large Target Vocabulary for Neural Machine Translation
20160201Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
20160206Recurrent Memory Network for Language Modeling
20140903On the Properties of Neural Machine Translation Encoder-Decoder Approaches
20151119Alternative structures for character-level RNNs
20160401Building Machines That Learn and Think Like People
20150531A Neural Network Approach to Context Sensitive Generation of Conversational Responses
20150622Skip-Thought Vectors
20151203Target-Dependent Sentiment Classification with Long Short Term Memory
20141017Learning to Execute
20140603Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
20040621Splitting Complex Temporal Questions for Question Answering systems
20150617Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
20160206Multi-Way Multilingual Neural Machine Translation with a Shared Attention Mechanism
20150427Neural Responding Machine for Short-Text Conversation
20140516Distributed Representations of Sentences and Documents
20151104Semi-supervised Sequence Learning
20150629Document Embedding with Paragraph Vectors
20151011A Diversity-Promoting Objective Function for Neural Conversation Models
20151119Multi-task Sequence to Sequence Learning
20160404Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
20160219Contextual LSTM (CLSTM) models for Large scale NLP tasks
20150309Distilling the Knowledge in a Neural Network
20150619Deep Knowledge Tracing
20151013A Sensitivity Analysis of Convolutional Neural Networks for Sentence Classification
20151101A Unified Tagging Solution Bidirectional LSTM Recurrent Neural Network with Word Embedding
20140918Deformable Part Models with CNN Features
20150217What makes for effective detection proposals
20150503Highway networks
20140615Part-based R-CNNs forFine-grained Category Detection
20131203Joint Deep Learning for Pedestrian Detection
20140618Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
20150622Training Very Deep Networks
20140918Deeply-Supervised Nets
20151121Data-dependent Initializations of Convolutional Neural Networks
20131221OverFeat Integrated Recognition Localization and Detection using Convolutional Networks
20160404Deep Networks with Stochastic Depth
20150423Object Detection Networks on Convolutional Feature Maps
20140728CNN Single-label to Multi-label
20130402Selective Search for Object Recognition
20141219Random Walk Initialization for Training Very Deep Feedforward Networks
20141020Neural Turing Machines
20131205Deep Neural Networks for Object Detection
20131210Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
20160412Training Region-based Object Detectors with Online Hard Example Mining
20131111Rich feature hierarchies for accurate object detection and semantic segmentation
20160316Identity Mappings in Deep residual networkds
20140911DeepID-Net multi-stage and deformable deep convolutional neural networks for object detection
20160407A MultiPath Network for Object Detection
20160403HyperNet Towards Accurate Region Proposal Generation and Joint Object Detection
20150211Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift
20141209Multi-Objective Convolutional Learning for Face Labeling
20140624BING Binarized Normed Gradients for Objectness Estimation at 300fps
20141117Long term Recurrent Convolutional Networks for Visual Recognition and Description
20160219All you need is a good init
20151210Deep residual learning for image recognition
20100729Object Detection with Discriminatively Trained Part Based Models
20140407DenseNet Implementing Efficient ConvNet Descriptor Pyramids

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Deep Learning for Natural Language Processing

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