Multi-agent Reinforcement Learning

Paper Group ANR 203

January 30, 2020

Environment reconstruction on depth images using Generative Adversarial Networks. Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics. Optimizing Millions of Hyperparameters by Implicit Differentiation. Two-St …

Paper Group ANR 220

January 30, 2020

Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers. Diagnosis of liver disease using computer-assisted imaging techniques: A Review. Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. Stochastic Prototype Embeddings. Metric-Based Few-Shot Learning for Vide …

Paper Group ANR 228

January 30, 2020

Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts. Unsupervised Representation Learning by Discovering Reliable Image Relations. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network. eSports Pro-Players Behavior During the Game Event …

Paper Group ANR 229

January 30, 2020

Automatic microscopic cell counting by use of deeply-supervised density regression model. Visual search and recognition for robot task execution and monitoring. Multi-Agent Reinforcement Learning with Multi-Step Generative Models. On Convex Duality in Linear Inverse Problems. SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Predicti …

Paper Group ANR 261

January 30, 2020

Reconstructing Network Inputs with Additive Perturbation Signatures. 3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion. Semi-supervised Learning of Fetal Anatomy from Ultrasound. Offset Sampling Improves Deep Learning based Accelerated MRI Reconstructions by Exploiting Symmetry. Variable Neighborhood Search for the …

Paper Group ANR 305

January 30, 2020

Multimodal Subspace Support Vector Data Description. RAD: On-line Anomaly Detection for Highly Unreliable Data. TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution. PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. Free-riders …

Paper Group ANR 314

January 30, 2020

Collaborative Filtering and Multi-Label Classification with Matrix Factorization. Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs. Deep Multi Label Classification in Affine Subspaces. Deep Learning for UL/DL Channel Calibration in Generic Massive …

Paper Group ANR 421

January 30, 2020

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. Intelligent Active Queue Management Using Explicit Congestion Notification. I Can See Clearly Now : Image Restoration via De-Raining. LSTM Networks Can Perform Dynamic Counting …

Paper Group ANR 483

January 29, 2020

Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier. Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier. Quality Measures for Speaker Verification with Short Utterances. A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free. Improving Feature Attribution …

Paper Group ANR 503

January 29, 2020

Jaccard Filtration and Stable Paths in the Mapper. Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon. Optical machine learning with incoherent light and a single-pixel detector. Monocular Depth Estimation with Directional Consistency by Deep Ne …

Paper Group ANR 549

January 29, 2020

The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge. Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation. BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues. Exploring Self-A …

Paper Group ANR 677

January 29, 2020

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. EXIT Analysis for Community Detection. Learning Best Response Strategies for Agents in Ad Exchanges. Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recen …

Paper Group ANR 695

January 29, 2020

Meta Module Network for Compositional Visual Reasoning. Testing Self-Organizing Multiagent Systems. Distributed Learning with Compressed Gradient Differences. Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers. Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Ap …

Paper Group ANR 756

January 29, 2020

Towards AutoML in the presence of Drift: first results. The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design. SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. EDUCE: Explaining model Decisions through …

Paper Group ANR 1038

January 28, 2020

Multi-loss-aware Channel Pruning of Deep Networks. Semantic Segmentation of Seismic Images. The CM Algorithm for the Maximum Mutual Information Classifications of Unseen Instances. Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity?. Global Temporal Representation based CNNs for Infrared Action Recognition. Data-Depen …

Paper Group ANR 1055

January 28, 2020

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model. Deep Q-Network for Angry Birds. A survey on intrinsic motivation in reinforcement learning. Recommending investors for new startups by integrating network diffusion and investors’ domain preference. Crowd Transformer Network. FlowSAN: Privacy-enhancing Semi-Adversarial Ne …

Paper Group ANR 772

January 28, 2020

Biases for Emergent Communication in Multi-agent Reinforcement Learning. LOGAN: Unpaired Shape Transform in Latent Overcomplete Space. Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification. Human detection of machine manipulated media. Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Spea …

Paper Group ANR 815

January 28, 2020

Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches. PILS: Exploring high-order neighborhoods by pattern mining and injection. Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. A novel classification-selection approach for the self updating of template-based face recognition syst …

Paper Group ANR 846

January 28, 2020

Operational Calibration: Debugging Confidence Errors for DNNs in the Field. Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning. Computer-supported Analysis of Positive Properties, Ultrafilters and Modal Collapse in Variants of Gödel’s Ontological Argument. Deep Direct Visual Odometry. A Keyframe-based Continuous Visual SLAM f …

Paper Group ANR 885

January 28, 2020

Deep Metric Learning using Similarities from Nonlinear Rank Approximations. Graph Neural Networks for Maximum Constraint Satisfaction. Compiler-Level Matrix Multiplication Optimization for Deep Learning. Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators. A Conceptually Well-Founded Characteri …

Paper Group ANR 909

January 28, 2020

Optimal low rank tensor recovery. AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. Decoding of visual-related information from the human EEG using an end-to-end deep learning approach. Joint Spatial and Angular Super-Resolution from a Single Image. Triangulation: Why Optimize?. Generating Highly Relevant Questions. Basis Prediction Ne …

Paper Group ANR 918

January 28, 2020

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders. Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Improving Fine-grained Entity Typing with Entity Linking. A Parame …

Paper Group ANR 940

January 28, 2020

Learning Symbolic Physics with Graph Networks. Partial Compilation of ASP Programs. Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. RefNet: A Reference-aware Network for Background Based Conversation. Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn …

Paper Group ANR 951

January 28, 2020

Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques. Generating Justifications for Norm-Related Agent Decisions. Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless N …

Paper Group ANR 956

January 28, 2020

Complete Dictionary Learning via $\ell^4$-Norm Maximization over the Orthogonal Group. OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios. Aski …

Paper Group ANR 1087

January 27, 2020

Adversarial VC-dimension and Sample Complexity of Neural Networks. Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net. Quantum algorithm for finding the negative curvature direction in non-convex optimization. MDS-Net: A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation. Prospection: Interpretable …

Paper Group ANR 1129

January 27, 2020

ER-AE: Differentially-private Text Generation for Authorship Anonymization. Completing and Debugging Ontologies: state of the art and challenges. Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow. Guiding Variational Response Generator to Exploit Persona. Post-mortem Iris Decomposition …

Paper Group ANR 1175

January 27, 2020

HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. A Cryptanalysis of Two Cancelable Biometric Schemes based on Index-of-Max Hashing. Clustering and Classification Networks. Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging. Saliency-Guided Attention Network for Image-Sentence Matching. …