Recurrent Neural Network Papers

• Multi-Dimensional Recurrent Neural Networks
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
• Recurrent Models of Visual Attention
• Neural Machine Translation by Jointly Learning to Align and Translate
• Explain Images with Multimodal Recurrent Neural Networks
• Memory Networks
• Learning to Execute
• Neural Turing Machines
• Addressing the Rare Word Problem in Neural Machine Translation
• Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
• Long-term Recurrent Convolutional Networks for Visual Recognition and Description
• Show and Tell: A Neural Image Caption Generator
• From Captions to Visual Concepts and Back
• Learning a Recurrent Visual Representation for Image Caption Generation
• On Using Very Large Target Vocabulary for Neural Machine Translation
• Translating Videos to Natural Language Using Deep Recurrent Neural Networks
• Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
• Gated Feedback Recurrent Neural Networks
• Conditional Random Fields as Recurrent Neural Networks
• Phrase-based Image Captioning
• DRAW: A Recurrent Neural Network For Image Generation
• Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
• Describing Videos by Exploiting Temporal Structure
• Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
• Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
• Neural Responding Machine for Short-Text Conversation
• On Using Monolingual Corpora in Neural Machine Translation
• LSTM: A Search Space Odyssey
• End-To-End Memory Networks
• Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
• VQA: Visual Question Answering
• Sequence to Sequence – Video to Text
• Reinforcement Learning Neural Turing Machines-Revised
• Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
• Language Models for Image Captioning: The Quirks and What Works
• Jointly Modeling Embedding and Translation to Bridge Video and Language
• Exploring Models and Data for Image Question Answering
• Exploring Nearest Neighbor Approaches for Image Captioning
• Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
• A Critical Review of Recurrent Neural Networks for Sequence Learning
• Recurrent Neural Networks with External Memory for Language Understanding
• A Hierarchical Neural Autoencoder for Paragraphs and Documents
• What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
• The Long-Short Story of Movie Description
• Visualizing and Understanding Recurrent Networks
• Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
• Pointer Networks
• Teaching Machines to Read and Comprehend
• Generative Image Modeling Using Spatial LSTMs
• Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
• Learning language through pictures
• Listen, Attend, andWalk: Neural Mapping of Navigational Instructions to Action Sequences
• Tree-Structured Composition in Neural Networks without Tree-Structured Architectures
• A Neural Conversational Model
• A Deep Memory-based Architecture for Sequence-to-Sequence Learning
• Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
• Skip-Thought Vectors
• Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
• Attention-Based Models for Speech Recognition
• The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
• Describing Multimedia Content using Attention-based Encoder–Decoder Networks
• Learning Deep Neural Network Policies with Continuous Memory States
• Grid Long Short-Term Memory
• Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
• Image Representations and New Domains in Neural Image Captioning
• Effective Approaches to Attention-based Neural Machine Translation
• Character-Aware Neural Language Models
• DAG-Recurrent Neural Networks For Scene Labeling
• Recurrent Spatial Transformer Networks
• Batch Normalized Recurrent Neural Networks
• Top-down Tree Long Short-Term Memory Networks
• The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
• Semantic Object Parsing with Local-Global Long Short-Term Memory
• Oracle Performance for Visual Captioning
• Neural Programmer: Inducing Latent Programs with Gradient Descent
• Segmental Recurrent Neural Networks
• Neural Programmer-Interpreters
• Order Matters: Sequence to sequence for sets
• Neural Random-Access Machines
• First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks
• Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
• ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
• Learning Simple Algorithms from Examples
• Neural GPUs Learn Algorithms
• On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
• Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
• Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
• Dialog-based Language Learning
• Learning End-to-End Goal-Oriented Dialog
• Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
• Training Recurrent Answering Units with Joint Loss Minimization for VQA
• SQuAD: 100,000+ Questions for Machine Comprehension of Text
• Sequence to Sequence Learning with Neural Networks
• Recurrent Neural Network based Language Modeling in Meeting Recognition
• Scene Labeling with LSTM Recurrent Neural Networks
• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
• Gated Feedback Recurrent Neural Networks
• Deep Visual-Semantic Alignments for Generating Image Descriptions
• Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video
• Training Recurrent Neural Networks
• An Empirical Exploration of Recurrent Network Architectures
• CS 224D: Deep Learning for NLP: Lecture Notes: Part III
• CS 224D: Deep Learning for NLP: Lecture Notes: Part IV
• Recurrent Convolutional Neural Network for Object Recognition
• Deep Neural Networks for Acoustic Modeling in Speech Recognition
• Extensions of recurrent neural network language model
• Recurrent neural network based language model
• Recurrent Convolutional Neural Networks for Scene Labeling
• Supervised Sequence Labelling with Recurrent Neural Networks
• Speech recognition with deep recurrent neural networks
• Recursive Deep Learning for Natural Language Processing and Computer Vision
• Statistical Language Models Based on Neural. Networks
• Supplementary material: Gated Feedback Recurrent Neural Networks