for oral, found 10/15 papers on arxiv with library counts:
64 Reinforcement Learning with Unsupervised Auxiliary Tasks
44 Neural Architecture Search with Reinforcement Learning
38 Understanding deep learning requires rethinking generalization
28 Towards Principled Methods for Training Generative Adversarial Networks
22 Learning End-to-End Goal-Oriented Dialog
19 Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
13 Learning to Act by Predicting the Future
12 Amortised MAP Inference for Image Super-resolution
8 Multi-Agent Cooperation and the Emergence of (Natural) Language
8 End-to-end Optimized Image Compression
---------------
for poster, found 113/183 papers on arxiv with library counts:
149 Adversarial Feature Learning
147 Hierarchical Multiscale Recurrent Neural Networks
140 Recurrent Batch Normalization
80 HyperNetworks
79 FractalNet: Ultra-Deep Neural Networks without Residuals
73 Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
62 Unrolled Generative Adversarial Networks
52 Adversarially Learned Inference
49 Quasi-Recurrent Neural Networks
48 Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
46 Neural Photo Editing with Introspective Adversarial Networks
43 An Actor-Critic Algorithm for Sequence Prediction
41 A Learned Representation For Artistic Style
37 Structured Attention Networks
33 Mollifying Networks
30 DeepCoder: Learning to Write Programs
28 SGDR: Stochastic Gradient Descent with Warm Restarts
27 Learning to Navigate in Complex Environments
27 Generative Multi-Adversarial Networks
26 Soft Weight-Sharing for Neural Network Compression
25 Pruning Filters for Efficient ConvNets
24 Why Deep Neural Networks for Function Approximation?
24 Mode Regularized Generative Adversarial Networks
24 Dialogue Learning With Human-in-the-Loop
24 Designing Neural Network Architectures using Reinforcement Learning
23 PGQ: Combining policy gradient and Q-learning
22 Frustratingly Short Attention Spans in Neural Language Modeling
21 Tracking the World State with Recurrent Entity Networks
21 Deep Probabilistic Programming
20 Density estimation using Real NVP
20 Adversarial Training Methods for Semi-Supervised Text Classification
19 Semi-Supervised Classification with Graph Convolutional Networks
19 PixelVAE: A Latent Variable Model for Natural Images
19 Learning to Optimize
19 Learning a Natural Language Interface with Neural Programmer
19 Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
19 Dynamic Coattention Networks For Question Answering
18 PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
18 Generalizing Skills with Semi-Supervised Reinforcement Learning
18 Deep Learning with Dynamic Computation Graphs
18 Automatic Rule Extraction from Long Short Term Memory Networks
18 Adversarial Machine Learning at Scale
17 Learning through Dialogue Interactions by Asking Questions
16 Learning to Perform Physics Experiments via Deep Reinforcement Learning
16 Categorical Reparameterization with Gumbel-Softmax
15 Sample Efficient Actor-Critic with Experience Replay
14 Variational Lossy Autoencoder
14 Identity Matters in Deep Learning
14 Bidirectional Attention Flow for Machine Comprehension
13 Towards a Neural Statistician
13 Recurrent Mixture Density Network for Spatiotemporal Visual Attention
13 On Detecting Adversarial Perturbations
12 Trained Ternary Quantization
12 Improving Policy Gradient by Exploring Under-appreciated Rewards
12 Capacity and Trainability in Recurrent Neural Networks
11 SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
11 Machine Comprehension Using Match-LSTM and Answer Pointer
11 Latent Sequence Decompositions
11 Calibrating Energy-based Generative Adversarial Networks
10 Unsupervised Cross-Domain Image Generation
10 Learning to Remember Rare Events
10 Highway and Residual Networks learn Unrolled Iterative Estimation
9 TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
9 Steerable CNNs
9 Query-Reduction Networks for Question Answering
9 Lossy Image Compression with Compressive Autoencoders
9 Learning to Compose Words into Sentences with Reinforcement Learning
8 Stick-Breaking Variational Autoencoders
8 Deep Variational Information Bottleneck
8 Batch Policy Gradient Methods for Improving Neural Conversation Models
7 Discrete Variational Autoencoders
7 Data Noising as Smoothing in Neural Network Language Models
6 Variable Computation in Recurrent Neural Networks
6 Sigma Delta Quantized Networks
6 Dropout with Expectation-linear Regularization
6 Delving into Transferable Adversarial Examples and Black-box Attacks
6 A Compositional Object-Based Approach to Learning Physical Dynamics
5 Towards the Limit of Network Quantization
5 Tighter bounds lead to improved classifiers
5 Pointer Sentinel Mixture Models
5 On the Quantitative Analysis of Decoder-Based Generative Models
5 Neuro-Symbolic Program Synthesis
5 Lie-Access Neural Turing Machines
5 Learning to superoptimize programs
5 Learning Features of Music From Scratch
5 Improving Neural Language Models with a Continuous Cache
5 Deep Biaffine Attention for Neural Dependency Parsing
4 Temporal Ensembling for Semi-Supervised Learning
4 Diet Networks: Thin Parameters for Fat Genomics
4 DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning
4 DSD: Dense-Sparse-Dense Training for Deep Neural Networks
4 A recurrent neural network without chaos
3 Trusting SVM for Piecewise Linear CNNs
3 The Neural Noisy Channel
3 Revisiting Classifier Two-Sample Tests
3 Regularizing CNNs with Locally Constrained Decorrelations
3 Optimal Binary Autoencoding with Pairwise Correlations
3 Loss-aware Binarization of Deep Networks
3 Learning Recurrent Representations for Hierarchical Behavior Modeling
3 EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
3 Deep Information Propagation
2 Words or Characters? Fine-grained Gating for Reading Comprehension
2 Topology and Geometry of Half-Rectified Network Optimization
2 Maximum Entropy Flow Networks
2 Incorporating long-range consistency in CNN-based texture generation
2 Hadamard Product for Low-rank Bilinear Pooling
1 Multi-view Recurrent Neural Acoustic Word Embeddings
1 Inductive Bias of Deep Convolutional Networks through Pooling Geometry
1 Geometry of Polysemy
1 Autoencoding Variational Inference For Topic Models
1 A STRUCTURED SELF-ATTENTIVE SENTENCE EMBEDDING
0 Deep Multi-task Representation Learning: A Tensor Factorisation Approach
0 A Compare-Aggregate Model for Matching Text Sequences
---------------
for workshop, found 23/48 papers on arxiv with library counts:
60 Adversarial examples in the physical world
31 Learning in Implicit Generative Models
16 Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
14 Multiplicative LSTM for sequence modelling
13 Efficient Softmax Approximation for GPUs
12 RenderGAN: Generating Realistic Labeled Data
12 Generalizable Features From Unsupervised Learning
10 Programming With a Differentiable Forth Interpreter
8 Gated Multimodal Units for Information Fusion
8 Deep Learning with Sets and Point Clouds
7 Unsupervised Perceptual Rewards for Imitation Learning
5 Song From PI: A Musically Plausible Network for Pop Music Generation
5 Modular Multitask Reinforcement Learning with Policy Sketches
5 A Differentiable Physics Engine for Deep Learning in Robotics
4 Exponential Machines
4 Dataset Augmentation in Feature Space
3 Semi-supervised deep learning by metric embedding
2 Adaptive Feature Abstraction for Translating Video to Language
1 Modularized Morphing of Neural Networks
1 Learning Continuous Semantic Representations of Symbolic Expressions
1 Extrapolation and learning equations
0 Online Structure Learning for Sum-Product Networks with Gaussian Leaves
0 Bit-Pragmatic Deep Neural Network Computing
---------------
for reject, found 58/245 papers on arxiv with library counts:
46 The Predictron: End-To-End Learning and Planning
39 RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
35 Understanding intermediate layers using linear classifier probes
33 Hierarchical Memory Networks
31 An Analysis of Deep Neural Network Models for Practical Applications
20 Low-rank passthrough neural networks
19 Higher Order Recurrent Neural Networks
18 Adding Gradient Noise Improves Learning for Very Deep Networks
16 Unsupervised Pretraining for Sequence to Sequence Learning
16 A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
15 Adversarial examples for generative models
14 Gated-Attention Readers for Text Comprehension
13 Extensions and Limitations of the Neural GPU
12 Warped Convolutions: Efficient Invariance to Spatial Transformations
11 Neural Combinatorial Optimization with Reinforcement Learning
11 Memory-augmented Attention Modelling for Videos
10 GRAM: Graph-based Attention Model for Healthcare Representation Learning
9 Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
9 Understanding trained CNNs by indexing neuron selectivity
9 The Power of Sparsity in Convolutional Neural Networks
9 Improving Stochastic Gradient Descent with Feedback
8 Towards Information-Seeking Agents
8 NEWSQA: A MACHINE COMPREHENSION DATASET
8 LipNet: End-to-End Sentence-level Lipreading
7 Generative Adversarial Parallelization
7 Efficient Summarization with Read-Again and Copy Mechanism
6 Multi-task learning with deep model based reinforcement learning
6 Multi-modal Variational Encoder-Decoders
6 End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
6 Boosting Image Captioning with Attributes
6 Beyond Fine Tuning: A Modular Approach to Learning on Small Data
5 Structured Sequence Modeling with Graph Convolutional Recurrent Networks
5 Human perception in computer vision
5 Cooperative Training of Descriptor and Generator Networks
4 Options Discovery with Budgeted Reinforcement Learning
4 Incremental Sequence Learning
4 FastText.zip: Compressing text classification models
3 Simple Black-Box Adversarial Perturbations for Deep Networks
3 Sequence to Sequence Transduction with Hard Monotonic Attention
3 Playing SNES in the Retro Learning Environment
3 Multi-view Generative Adversarial Networks
3 Joint Multimodal Learning with Deep Generative Models
3 Here's My Point: Argumentation Mining with Pointer Networks
3 Boosted Generative Models
3 Attentive Recurrent Comparators
2 Two Methods for Wild Variational Inference
2 Fast Adaptation in Generative Models with Generative Matching Networks
2 Efficient iterative policy optimization
1 Reference-Aware Language Models
1 Neural Machine Translation with Latent Semantic of Image and Text
1 Near-Data Processing for Machine Learning
1 Intelligible Language Modeling with Input Switched Affine Networks
1 Generating Long and Diverse Responses with Neural Conversation Models
1 Deep Generalized Canonical Correlation Analysis
1 A Context-aware Attention Network for Interactive Question Answering
0 Transformation-based Models of Video Sequences
0 Exploring LOTS in Deep Neural Networks
0 Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM
---------------
for oral, found 10/15 papers on arxiv with library counts:
64 Reinforcement Learning with Unsupervised Auxiliary Tasks
44 Neural Architecture Search with Reinforcement Learning
38 Understanding deep learning requires rethinking generalization
28 Towards Principled Methods for Training Generative Adversarial Networks
22 Learning End-to-End Goal-Oriented Dialog
19 Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
13 Learning to Act by Predicting the Future
12 Amortised MAP Inference for Image Super-resolution
8 Multi-Agent Cooperation and the Emergence of (Natural) Language
8 End-to-end Optimized Image Compression
---------------
for poster, found 113/183 papers on arxiv with library counts:
149 Adversarial Feature Learning
147 Hierarchical Multiscale Recurrent Neural Networks
140 Recurrent Batch Normalization
80 HyperNetworks
79 FractalNet: Ultra-Deep Neural Networks without Residuals
73 Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
62 Unrolled Generative Adversarial Networks
52 Adversarially Learned Inference
49 Quasi-Recurrent Neural Networks
48 Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
46 Neural Photo Editing with Introspective Adversarial Networks
43 An Actor-Critic Algorithm for Sequence Prediction
41 A Learned Representation For Artistic Style
37 Structured Attention Networks
33 Mollifying Networks
30 DeepCoder: Learning to Write Programs
28 SGDR: Stochastic Gradient Descent with Warm Restarts
27 Learning to Navigate in Complex Environments
27 Generative Multi-Adversarial Networks
26 Soft Weight-Sharing for Neural Network Compression
25 Pruning Filters for Efficient ConvNets
24 Why Deep Neural Networks for Function Approximation?
24 Mode Regularized Generative Adversarial Networks
24 Dialogue Learning With Human-in-the-Loop
24 Designing Neural Network Architectures using Reinforcement Learning
23 PGQ: Combining policy gradient and Q-learning
22 Frustratingly Short Attention Spans in Neural Language Modeling
21 Tracking the World State with Recurrent Entity Networks
21 Deep Probabilistic Programming
20 Density estimation using Real NVP
20 Adversarial Training Methods for Semi-Supervised Text Classification
19 Semi-Supervised Classification with Graph Convolutional Networks
19 PixelVAE: A Latent Variable Model for Natural Images
19 Learning to Optimize
19 Learning a Natural Language Interface with Neural Programmer
19 Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
19 Dynamic Coattention Networks For Question Answering
18 PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
18 Generalizing Skills with Semi-Supervised Reinforcement Learning
18 Deep Learning with Dynamic Computation Graphs
18 Automatic Rule Extraction from Long Short Term Memory Networks
18 Adversarial Machine Learning at Scale
17 Learning through Dialogue Interactions by Asking Questions
16 Learning to Perform Physics Experiments via Deep Reinforcement Learning
16 Categorical Reparameterization with Gumbel-Softmax
15 Sample Efficient Actor-Critic with Experience Replay
14 Variational Lossy Autoencoder
14 Identity Matters in Deep Learning
14 Bidirectional Attention Flow for Machine Comprehension
13 Towards a Neural Statistician
13 Recurrent Mixture Density Network for Spatiotemporal Visual Attention
13 On Detecting Adversarial Perturbations
12 Trained Ternary Quantization
12 Improving Policy Gradient by Exploring Under-appreciated Rewards
12 Capacity and Trainability in Recurrent Neural Networks
11 SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
11 Machine Comprehension Using Match-LSTM and Answer Pointer
11 Latent Sequence Decompositions
11 Calibrating Energy-based Generative Adversarial Networks
10 Unsupervised Cross-Domain Image Generation
10 Learning to Remember Rare Events
10 Highway and Residual Networks learn Unrolled Iterative Estimation
9 TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
9 Steerable CNNs
9 Query-Reduction Networks for Question Answering
9 Lossy Image Compression with Compressive Autoencoders
9 Learning to Compose Words into Sentences with Reinforcement Learning
8 Stick-Breaking Variational Autoencoders
8 Deep Variational Information Bottleneck
8 Batch Policy Gradient Methods for Improving Neural Conversation Models
7 Discrete Variational Autoencoders
7 Data Noising as Smoothing in Neural Network Language Models
6 Variable Computation in Recurrent Neural Networks
6 Sigma Delta Quantized Networks
6 Dropout with Expectation-linear Regularization
6 Delving into Transferable Adversarial Examples and Black-box Attacks
6 A Compositional Object-Based Approach to Learning Physical Dynamics
5 Towards the Limit of Network Quantization
5 Tighter bounds lead to improved classifiers
5 Pointer Sentinel Mixture Models
5 On the Quantitative Analysis of Decoder-Based Generative Models
5 Neuro-Symbolic Program Synthesis
5 Lie-Access Neural Turing Machines
5 Learning to superoptimize programs
5 Learning Features of Music From Scratch
5 Improving Neural Language Models with a Continuous Cache
5 Deep Biaffine Attention for Neural Dependency Parsing
4 Temporal Ensembling for Semi-Supervised Learning
4 Diet Networks: Thin Parameters for Fat Genomics
4 DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning
4 DSD: Dense-Sparse-Dense Training for Deep Neural Networks
4 A recurrent neural network without chaos
3 Trusting SVM for Piecewise Linear CNNs
3 The Neural Noisy Channel
3 Revisiting Classifier Two-Sample Tests
3 Regularizing CNNs with Locally Constrained Decorrelations
3 Optimal Binary Autoencoding with Pairwise Correlations
3 Loss-aware Binarization of Deep Networks
3 Learning Recurrent Representations for Hierarchical Behavior Modeling
3 EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
3 Deep Information Propagation
2 Words or Characters? Fine-grained Gating for Reading Comprehension
2 Topology and Geometry of Half-Rectified Network Optimization
2 Maximum Entropy Flow Networks
2 Incorporating long-range consistency in CNN-based texture generation
2 Hadamard Product for Low-rank Bilinear Pooling
1 Multi-view Recurrent Neural Acoustic Word Embeddings
1 Inductive Bias of Deep Convolutional Networks through Pooling Geometry
1 Geometry of Polysemy
1 Autoencoding Variational Inference For Topic Models
1 A STRUCTURED SELF-ATTENTIVE SENTENCE EMBEDDING
0 Deep Multi-task Representation Learning: A Tensor Factorisation Approach
0 A Compare-Aggregate Model for Matching Text Sequences
---------------
for workshop, found 23/48 papers on arxiv with library counts:
60 Adversarial examples in the physical world
31 Learning in Implicit Generative Models
16 Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
14 Multiplicative LSTM for sequence modelling
13 Efficient Softmax Approximation for GPUs
12 RenderGAN: Generating Realistic Labeled Data
12 Generalizable Features From Unsupervised Learning
10 Programming With a Differentiable Forth Interpreter
8 Gated Multimodal Units for Information Fusion
8 Deep Learning with Sets and Point Clouds
7 Unsupervised Perceptual Rewards for Imitation Learning
5 Song From PI: A Musically Plausible Network for Pop Music Generation
5 Modular Multitask Reinforcement Learning with Policy Sketches
5 A Differentiable Physics Engine for Deep Learning in Robotics
4 Exponential Machines
4 Dataset Augmentation in Feature Space
3 Semi-supervised deep learning by metric embedding
2 Adaptive Feature Abstraction for Translating Video to Language
1 Modularized Morphing of Neural Networks
1 Learning Continuous Semantic Representations of Symbolic Expressions
1 Extrapolation and learning equations
0 Online Structure Learning for Sum-Product Networks with Gaussian Leaves
0 Bit-Pragmatic Deep Neural Network Computing
---------------
for reject, found 58/245 papers on arxiv with library counts:
46 The Predictron: End-To-End Learning and Planning
39 RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
35 Understanding intermediate layers using linear classifier probes
33 Hierarchical Memory Networks
31 An Analysis of Deep Neural Network Models for Practical Applications
20 Low-rank passthrough neural networks
19 Higher Order Recurrent Neural Networks
18 Adding Gradient Noise Improves Learning for Very Deep Networks
16 Unsupervised Pretraining for Sequence to Sequence Learning
16 A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
15 Adversarial examples for generative models
14 Gated-Attention Readers for Text Comprehension
13 Extensions and Limitations of the Neural GPU
12 Warped Convolutions: Efficient Invariance to Spatial Transformations
11 Neural Combinatorial Optimization with Reinforcement Learning
11 Memory-augmented Attention Modelling for Videos
10 GRAM: Graph-based Attention Model for Healthcare Representation Learning
9 Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
9 Understanding trained CNNs by indexing neuron selectivity
9 The Power of Sparsity in Convolutional Neural Networks
9 Improving Stochastic Gradient Descent with Feedback
8 Towards Information-Seeking Agents
8 NEWSQA: A MACHINE COMPREHENSION DATASET
8 LipNet: End-to-End Sentence-level Lipreading
7 Generative Adversarial Parallelization
7 Efficient Summarization with Read-Again and Copy Mechanism
6 Multi-task learning with deep model based reinforcement learning
6 Multi-modal Variational Encoder-Decoders
6 End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
6 Boosting Image Captioning with Attributes
6 Beyond Fine Tuning: A Modular Approach to Learning on Small Data
5 Structured Sequence Modeling with Graph Convolutional Recurrent Networks
5 Human perception in computer vision
5 Cooperative Training of Descriptor and Generator Networks
4 Options Discovery with Budgeted Reinforcement Learning
4 Incremental Sequence Learning
4 FastText.zip: Compressing text classification models
3 Simple Black-Box Adversarial Perturbations for Deep Networks
3 Sequence to Sequence Transduction with Hard Monotonic Attention
3 Playing SNES in the Retro Learning Environment
3 Multi-view Generative Adversarial Networks
3 Joint Multimodal Learning with Deep Generative Models
3 Here's My Point: Argumentation Mining with Pointer Networks
3 Boosted Generative Models
3 Attentive Recurrent Comparators
2 Two Methods for Wild Variational Inference
2 Fast Adaptation in Generative Models with Generative Matching Networks
2 Efficient iterative policy optimization
1 Reference-Aware Language Models
1 Neural Machine Translation with Latent Semantic of Image and Text
1 Near-Data Processing for Machine Learning
1 Intelligible Language Modeling with Input Switched Affine Networks
1 Generating Long and Diverse Responses with Neural Conversation Models
1 Deep Generalized Canonical Correlation Analysis
1 A Context-aware Attention Network for Interactive Question Answering
0 Transformation-based Models of Video Sequences
0 Exploring LOTS in Deep Neural Networks
0 Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM
---------------