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Name		Name	Last commit message	Last commit date
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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.pdf		#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.pdf
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.pdf		A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.pdf
A Compare-Aggregate Model for Matching Text Sequences.pdf		A Compare-Aggregate Model for Matching Text Sequences.pdf
A Compositional Object-Based Approach to Learning Physical Dynamics.pdf		A Compositional Object-Based Approach to Learning Physical Dynamics.pdf
A Context-aware Attention Network for Interactive Question Answering.pdf		A Context-aware Attention Network for Interactive Question Answering.pdf
A Convolutional Encoder Model for Neural Machine Translation.pdf		A Convolutional Encoder Model for Neural Machine Translation.pdf
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games.pdf		A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games.pdf
A Differentiable Physics Engine for Deep Learning in Robotics.pdf		A Differentiable Physics Engine for Deep Learning in Robotics.pdf
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.pdf		A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.pdf
A Learned Representation For Artistic Style.pdf		A Learned Representation For Artistic Style.pdf
A Neural Knowledge Language Model.pdf		A Neural Knowledge Language Model.pdf
A Neural Stochastic Volatility Model.pdf		A Neural Stochastic Volatility Model.pdf
A STRUCTURED SELF-ATTENTIVE SENTENCE EMBEDDING.pdf		A STRUCTURED SELF-ATTENTIVE SENTENCE EMBEDDING.pdf
A Simple but Tough-to-Beat Baseline for Sentence Embeddings.pdf		A Simple but Tough-to-Beat Baseline for Sentence Embeddings.pdf
A Simple yet Effective Method to Prune Dense Layers of Neural Networks.pdf		A Simple yet Effective Method to Prune Dense Layers of Neural Networks.pdf
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples.pdf		A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples.pdf
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs.pdf		A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs.pdf
A hybrid network: Scattering and Convnet.pdf		A hybrid network: Scattering and Convnet.pdf
A recurrent neural network without chaos.pdf		A recurrent neural network without chaos.pdf
Adaptive Feature Abstraction for Translating Video to Language.pdf		Adaptive Feature Abstraction for Translating Video to Language.pdf
Adding Gradient Noise Improves Learning for Very Deep Networks.pdf		Adding Gradient Noise Improves Learning for Very Deep Networks.pdf
Adjusting for Dropout Variance in Batch Normalization and Weight Initialization.pdf		Adjusting for Dropout Variance in Batch Normalization and Weight Initialization.pdf
Adversarial Feature Learning.pdf		Adversarial Feature Learning.pdf
Adversarial Machine Learning at Scale.pdf		Adversarial Machine Learning at Scale.pdf
Adversarial Training Methods for Semi-Supervised Text Classification.pdf		Adversarial Training Methods for Semi-Supervised Text Classification.pdf
Adversarial examples for generative models.pdf		Adversarial examples for generative models.pdf
Adversarial examples in the physical world.pdf		Adversarial examples in the physical world.pdf
Adversarially Learned Inference.pdf		Adversarially Learned Inference.pdf
Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks.pdf		Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks.pdf
Amortised MAP Inference for Image Super-resolution.pdf		Amortised MAP Inference for Image Super-resolution.pdf
An Actor-Critic Algorithm for Sequence Prediction.pdf		An Actor-Critic Algorithm for Sequence Prediction.pdf
An Actor-critic Algorithm for Learning Rate Learning.pdf		An Actor-critic Algorithm for Learning Rate Learning.pdf
An Analysis of Deep Neural Network Models for Practical Applications.pdf		An Analysis of Deep Neural Network Models for Practical Applications.pdf
An Analysis of Feature Regularization for Low-shot Learning.pdf		An Analysis of Feature Regularization for Low-shot Learning.pdf
An Empirical Analysis of Deep Network Loss Surfaces.pdf		An Empirical Analysis of Deep Network Loss Surfaces.pdf
An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views.pdf		An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views.pdf
An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax.pdf		An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax.pdf
Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM.pdf		Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM.pdf
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.pdf		Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.pdf
Attentive Recurrent Comparators.pdf		Attentive Recurrent Comparators.pdf
Autoencoding Variational Inference For Topic Models.pdf		Autoencoding Variational Inference For Topic Models.pdf
Automated Generation of Multilingual Clusters for the Evaluation of Distributed Representations.pdf		Automated Generation of Multilingual Clusters for the Evaluation of Distributed Representations.pdf
Automatic Rule Extraction from Long Short Term Memory Networks.pdf		Automatic Rule Extraction from Long Short Term Memory Networks.pdf
BIOACOUSTIC SEGMENTATION BY HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL.pdf		BIOACOUSTIC SEGMENTATION BY HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL.pdf
Batch Policy Gradient Methods for Improving Neural Conversation Models.pdf		Batch Policy Gradient Methods for Improving Neural Conversation Models.pdf
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.pdf		Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.pdf
Beyond Fine Tuning: A Modular Approach to Learning on Small Data.pdf		Beyond Fine Tuning: A Modular Approach to Learning on Small Data.pdf
Bidirectional Attention Flow for Machine Comprehension.pdf		Bidirectional Attention Flow for Machine Comprehension.pdf
Binary Paragraph Vectors.pdf		Binary Paragraph Vectors.pdf
Bit-Pragmatic Deep Neural Network Computing.pdf		Bit-Pragmatic Deep Neural Network Computing.pdf
Boosted Generative Models.pdf		Boosted Generative Models.pdf
Boosted Residual Networks.pdf		Boosted Residual Networks.pdf
Boosting Image Captioning with Attributes.pdf		Boosting Image Captioning with Attributes.pdf
Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units.pdf		Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units.pdf
CAN AI GENERATE LOVE ADVICE?: TOWARD NEURAL ANSWER GENERATION FOR NON-FACTOID QUESTIONS.pdf		CAN AI GENERATE LOVE ADVICE?: TOWARD NEURAL ANSWER GENERATION FOR NON-FACTOID QUESTIONS.pdf
CONTENT2VEC: SPECIALIZING JOINT REPRESENTATIONS OF PRODUCT IMAGES AND TEXT FOR THE TASK OF PRODUCT RECOMMENDATION.pdf		CONTENT2VEC: SPECIALIZING JOINT REPRESENTATIONS OF PRODUCT IMAGES AND TEXT FOR THE TASK OF PRODUCT RECOMMENDATION.pdf
Calibrating Energy-based Generative Adversarial Networks.pdf		Calibrating Energy-based Generative Adversarial Networks.pdf
Capacity and Trainability in Recurrent Neural Networks.pdf		Capacity and Trainability in Recurrent Neural Networks.pdf
Cat2Vec: Learning Distributed Representation of Multi-field Categorical Data.pdf		Cat2Vec: Learning Distributed Representation of Multi-field Categorical Data.pdf
Categorical Reparameterization with Gumbel-Softmax.pdf		Categorical Reparameterization with Gumbel-Softmax.pdf
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning.pdf		Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning.pdf
Character-aware Attention Residual Network for Sentence Representation.pdf		Character-aware Attention Residual Network for Sentence Representation.pdf
Charged Point Normalization: An Efficient Solution to the Saddle Point Problem.pdf		Charged Point Normalization: An Efficient Solution to the Saddle Point Problem.pdf
Chess Game Concepts Emerge under Weak Supervision: A Case Study of Tic-tac-toe.pdf		Chess Game Concepts Emerge under Weak Supervision: A Case Study of Tic-tac-toe.pdf
Classify or Select: Neural Architectures for Extractive Document Summarization.pdf		Classify or Select: Neural Architectures for Extractive Document Summarization.pdf
Classless Association using Neural Networks.pdf		Classless Association using Neural Networks.pdf
Coarse Pruning of Convolutional Neural Networks with Random Masks.pdf		Coarse Pruning of Convolutional Neural Networks with Random Masks.pdf
Collaborative Deep Embedding via Dual Networks.pdf		Collaborative Deep Embedding via Dual Networks.pdf
Combating Deep Reinforcement Learning's Sisyphean Curse with Intrinsic Fear.pdf		Combating Deep Reinforcement Learning's Sisyphean Curse with Intrinsic Fear.pdf
Combining policy gradient and Q-learning.pdf		Combining policy gradient and Q-learning.pdf
Communicating Hierarchical Neural Controllers for Learning Zero-shot Task Generalization.pdf		Communicating Hierarchical Neural Controllers for Learning Zero-shot Task Generalization.pdf
Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters.pdf		Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters.pdf
Compositional Kernel Machines.pdf		Compositional Kernel Machines.pdf
Conditional Image Synthesis With Auxiliary Classifier GANs.pdf		Conditional Image Synthesis With Auxiliary Classifier GANs.pdf
Convolutional Neural Networks Generalization Utilizing the Data Graph Structure.pdf		Convolutional Neural Networks Generalization Utilizing the Data Graph Structure.pdf
Cooperative Training of Descriptor and Generator Networks.pdf		Cooperative Training of Descriptor and Generator Networks.pdf
Cortical-Inspired Open-Bigram Representation for Handwritten Word Recognition.pdf		Cortical-Inspired Open-Bigram Representation for Handwritten Word Recognition.pdf
Counterpoint by Convolution.pdf		Counterpoint by Convolution.pdf
DRAGNN: A Transition-Based Framework for Dynamically Connected Neural Networks.pdf		DRAGNN: A Transition-Based Framework for Dynamically Connected Neural Networks.pdf
DSD: Dense-Sparse-Dense Training for Deep Neural Networks.pdf		DSD: Dense-Sparse-Dense Training for Deep Neural Networks.pdf
Data Noising as Smoothing in Neural Network Language Models.pdf		Data Noising as Smoothing in Neural Network Language Models.pdf
Dataset Augmentation in Feature Space.pdf		Dataset Augmentation in Feature Space.pdf
Decomposing Motion and Content for Natural Video Sequence Prediction.pdf		Decomposing Motion and Content for Natural Video Sequence Prediction.pdf
Deep Biaffine Attention for Neural Dependency Parsing.pdf		Deep Biaffine Attention for Neural Dependency Parsing.pdf
Deep Character-Level Neural Machine Translation By Learning Morphology.pdf		Deep Character-Level Neural Machine Translation By Learning Morphology.pdf
Deep Convolutional Neural Network Design Patterns.pdf		Deep Convolutional Neural Network Design Patterns.pdf
Deep Error-Correcting Output Codes.pdf		Deep Error-Correcting Output Codes.pdf
Deep Generalized Canonical Correlation Analysis.pdf		Deep Generalized Canonical Correlation Analysis.pdf
Deep Information Propagation.pdf		Deep Information Propagation.pdf
Deep Learning with Dynamic Computation Graphs.pdf		Deep Learning with Dynamic Computation Graphs.pdf
Deep Learning with Sets and Point Clouds.pdf		Deep Learning with Sets and Point Clouds.pdf
Deep Multi-task Representation Learning: A Tensor Factorisation Approach.pdf		Deep Multi-task Representation Learning: A Tensor Factorisation Approach.pdf
Deep Neural Networks and the Tree of Life.pdf		Deep Neural Networks and the Tree of Life.pdf
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.pdf		Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.pdf
Deep Probabilistic Programming.pdf		Deep Probabilistic Programming.pdf
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification.pdf		Deep Symbolic Representation Learning for Heterogeneous Time-series Classification.pdf
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.pdf		Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.pdf
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.pdf		Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.pdf
Deep Variational Canonical Correlation Analysis.pdf		Deep Variational Canonical Correlation Analysis.pdf
Deep Variational Information Bottleneck.pdf		Deep Variational Information Bottleneck.pdf

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