Atari Games

Paper Group AWR 109

October 21, 2019

Semi-Analytic Resampling in Lasso. Referring Relationships. Text normalization using memory augmented neural networks. ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. A Recurrent Graph Neural Network for Multi-Relational Data. Modular meta-learning. Recent Advances in Object Detection in the Age of Deep Convolut …

Paper Group AWR 130

October 21, 2019

RDF2PT: Generating Brazilian Portuguese Texts from RDF Data. Stochastic Answer Networks for Natural Language Inference. Improving Context Modelling in Multimodal Dialogue Generation. Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation. A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algori …

Paper Group AWR 151

October 21, 2019

pioNER: Datasets and Baselines for Armenian Named Entity Recognition. Dialog-based Interactive Image Retrieval. Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. A Spectral Approach to Gradient Estimation for Implicit Distributions. Zero-shot Neural Transfer for Cross-lingual Entity Linking. Modeling Camera Effec …

Paper Group AWR 36

October 21, 2019

Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media. Kernel Exponential Family Estimation via Doubly Dual Embedding. Compact Generalized Non-local Network. Multi-Task Graph Autoencoders. HyperAdam: A Learnable Task-Adaptive Adam for Network Training. Towards Exploiting Background Knowledge for Building Conversation Systems …

Paper Group AWR 42

October 21, 2019

Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant. Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient. Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems. Attentive Sequence to Se …

Paper Group AWR 71

October 21, 2019

Scaling Gaussian Process Regression with Derivatives. Where are we now? A large benchmark study of recent symbolic regression methods. Fast Randomized PCA for Sparse Data. Evading classifiers in discrete domains with provable optimality guarantees. Parser Extraction of Triples in Unstructured Text. Beyond Word Importance: Contextual Decomposition t …

Paper Group AWR 76

October 21, 2019

Deep Quality-Value (DQV) Learning. AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy. Regularized Wasserstein Means for Aligning Distributional Data. Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators. Recurrent Neural Networks for Fuzz Testing Web Browsers. Parsimonious Bay …

Paper Group AWR 79

October 21, 2019

Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping. Images & Recipes: Retrieval in the cooking context. No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. Extending Pretrained Segmentation Networks with Additional Anatomical Structures. Temporal Regularization in Markov Decision Proc …

Paper Group ANR 12

October 20, 2019

Temporal-Spatial Mapping for Action Recognition. Towards the Design of Aerostat Wind Turbine Arrays through AI. Greedy Active Learning Algorithm for Logistic Regression Models. A novel hybrid score level and decision level fusion scheme for cancelable multi-biometric verification. Sharpen Focus: Learning with Attention Separability and Consistency. …

Paper Group ANR 20

October 20, 2019

Optimization of a SSP’s Header Bidding Strategy using Thompson Sampling. Backplay: “Man muss immer umkehren”. Smart Novel Computer-based Analytical Tool for Image Forgery Authentication. Synchronisation of Partial Multi-Matchings via Non-negative Factorisations. Matching Natural Language Sentences with Hierarchical Sentence Factorization. Unsupervi …

Paper Group ANR 45

October 20, 2019

Context Spaces as the Cornerstone of a Near-Transparent & Self-Reorganizing Semantic Desktop. Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures. Semi-parametric Image Synthesis. Transparency and Explanation in Deep Reinforcement Learning Neural Networks. Oblique Stripe Removal in Remote Sensing Images via Oriented …

Paper Group ANR 59

October 20, 2019

Deep learning: Extrapolation tool for ab initio nuclear theory. Learning Traffic Flow Dynamics using Random Fields. A Machine Learning-based Recommendation System for Swaptions Strategies. Learning a Local Feature Descriptor for 3D LiDAR Scans. Position Estimation of Camera Based on Unsupervised Learning. Learning to Repair Software Vulnerabilities …

Paper Group ANR 7

October 20, 2019

Reducing over-clustering via the powered Chinese restaurant process. Deep Learning based Pedestrian Detection at Distance in Smart Cities. Overabundant Information and Learning Traps. An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles. On the Algebra in Boole’s Laws of Thought. Blazingly Fast Video Object Seg …

Paper Group ANR 86

October 20, 2019

Learning to Importance Sample in Primary Sample Space. Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data. Recall Traces: Backtracking Models for Efficient Reinforcement Learning. Replicating Active Appearance Model by …

Paper Group AWR 170

October 20, 2019

Glioma Segmentation with Cascaded Unet. Recovering affine features from orientation- and scale-invariant ones. PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network. Multi-Agent Generative Adversarial Imitation Learning. HAQ: Hardware-Aware Automated Quantization with Mixed Precision. Automatically Composing Representatio …

Paper Group AWR 186

October 20, 2019

Alarm-Based Prescriptive Process Monitoring. Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets. Efficient Video Object Segmentation via Network Modulation. Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference. Conditional WaveGAN. Role action embeddings: sc …

Paper Group AWR 189

October 20, 2019

Extending Stan for Deep Probabilistic Programming. Strong Baselines for Neural Semi-supervised Learning under Domain Shift. Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss. A Span-Extraction Dataset for Chinese Machine Reading Comprehension. Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations. LPRN …

Paper Group AWR 190

October 20, 2019

Adversarial Texts with Gradient Methods. GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition. Collective Matrix Completion. Indian Regional Movie Dataset for Recommender Systems. Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. Incre …

Paper Group AWR 191

October 20, 2019

Random Warping Series: A Random Features Method for Time-Series Embedding. ClusterGAN : Latent Space Clustering in Generative Adversarial Networks. Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts. Generalization and Regularization in DQN. Temporal Difference Variational Auto-Encoder. Learning Plannable Representatio …

Paper Group AWR 194

October 20, 2019

On GANs and GMMs. BourGAN: Generative Networks with Metric Embeddings. Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. A Bi-population Particle Swarm Optimizer for Learning Automata based Slow Intelligent System. Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. Singing Style Transfer Using Cycl …

Paper Group AWR 199

October 20, 2019

Multivariate LSTM-FCNs for Time Series Classification. FasTer: Fast Tensor Completion with Nonconvex Regularization. Disentangled Representation Learning for Non-Parallel Text Style Transfer. Expert identification of visual primitives used by CNNs during mammogram classification. Financial Trading as a Game: A Deep Reinforcement Learning Approach. …

Paper Group AWR 203

October 20, 2019

Sequentially Aggregated Convolutional Networks. Predicting Factuality of Reporting and Bias of News Media Sources. Acute and sub-acute stroke lesion segmentation from multimodal MRI. Context-Aware Dialog Re-Ranking for Task-Oriented Dialog Systems. Detailed Human Avatars from Monocular Video. Disentangling Factors of Variation with Cycle-Consistent …

Paper Group AWR 207

October 20, 2019

Self-Imitation Learning. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. Cross-Target Stance Classification with Self-Attention Networks. Appendix - Recommended Statistical Significance Tests for NLP Tasks. Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. Semantic Human …

Paper Group AWR 228

October 20, 2019

Distributed Prioritized Experience Replay. Parallel Architecture and Hyperparameter Search via Successive Halving and Classification. Certified Robustness to Adversarial Examples with Differential Privacy. DATA Agent. Learning Symmetric and Low-energy Locomotion. Full deep neural network training on a pruned weight budget. Implementing Neural Turin …

Paper Group AWR 241

October 20, 2019

A bag-to-class divergence approach to multiple-instance learning. Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition. TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service. Hierarchical Neural Story Generation. Deep Learning-Based Channel Estimation. Efficient Lifelong Learning with A-GEM. Disentang …

Paper Group AWR 250

October 20, 2019

AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality. Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models. Multiview Learning of Weighted Majority Vote by Bregman Divergence Min …

Paper Group AWR 267

October 20, 2019

GILBO: One Metric to Measure Them All. PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. Learn To Pay Attention. Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. Information-Directed Exploration for Deep Reinforcement Learning. Unsupervised Learning with …

Paper Group AWR 278

October 20, 2019

LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction. Learning sentence embeddings using Recursive Networks. Aggregated Momentum: Stability Through Passive Damping. PU-Net: Point Cloud Upsampling Network. Skeleton-based Gesture Recognition Using Several Fully Connected Layers with P …