| 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 |
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