# CV-NLP_Practice.PyTorch **Repository Path**: wanggong_626/CV-NLP_Practice.PyTorch ## Basic Information - **Project Name**: CV-NLP_Practice.PyTorch - **Description**: Deep Learning for Natural Language Processing - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-07-06 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README If you have any interest in computer vision & natural language processing, you can visit the [course site](http://www.mooc.ai/course/427). # Computer Vision + Natural Language Processing


Name	Descriptions
OpenNMT-py(OpenNMT)	Open Source Neural Machine Translation in PyTorch
NMT.pytorch	Neural machine translation based on PyTorch
Question_Answering.pytorch	Question Answering, Visual Question Answering, and Dialogue
Visual_Question_Answering.pytorch	Visual Question Answering
Dialogue.pytorch	Dialog Generation
Visual_Dialogue.pytorch	Visual Dialog
Deep_Trader.pytorch	This project uses Reinforcement learning on stock market and agent tries to learn trading.
Text_Classification.pytorch	Text Classification
Multimodal_Retrieval.pytorch	Multi-Modal and Cross-Modal Retrieval
Chinese_PoetryGen.pytorch	Chinese Poetry Generation
Video_Captioning.pytorch	Video Captioning
Stack-Captioning	Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

# Recent Advances


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