Continuous Control

Paper Group ANR 567

January 29, 2020

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. Localized Linear Regression in Networked Data. Increasing city safety awareness regarding disruptive traffic stream. Accelerated Discovery of Sustainable Building Materials. Human-AI Co-Learning for Data-Driven AI. PingPong: Packet-Level Signatures for Smar …

Paper Group ANR 573

January 29, 2020

A Method for Evaluating Chimeric Synchronization of Coupled Oscillators and Its Application for Creating a Neural Network Information Converter. Machine Learning for Clinical Predictive Analytics. Learning performance in inverse Ising problems with sparse teacher couplings. Meta-Learning Mean Functions for Gaussian Processes. Multilingual Culture-I …

Paper Group ANR 597

January 29, 2020

A Direct $\tilde{O}(1/ε)$ Iteration Parallel Algorithm for Optimal Transport. Sampling Strategies for GAN Synthetic Data. The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity. Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. Topological Data Analysis of Time Series Data …

Paper Group ANR 629

January 29, 2020

Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control. ERASER: A Benchmark to Evaluate Rationalized NLP Models. Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery. Efficient Sem …

Paper Group ANR 640

January 29, 2020

Eye in the Sky: Drone-Based Object Tracking and 3D Localization. Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning. Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach). The Quest for Interpretable and Responsible Artificial Intelligence. Maximal Margin Distribution Support Vector Regressio …

Paper Group ANR 675

January 29, 2020

Estimating the Mixing Time of Ergodic Markov Chains. Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. Blind Visual Motif Removal from a Single Image. Introduction to Multi-Armed Bandits. Quantum Computation with Machine-Learning-Controlled Quantum Stuff. Regularizing Model-Based Planning with Energy-Based Models. Neu …

Paper Group ANR 708

January 29, 2020

BCMA-ES II: revisiting Bayesian CMA-ES. A Quotient Space Formulation for Statistical Analysis of Graphical Data. Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. A Study on Angular Based Embedding Learning for Text-independent Speaker Verification. Mask TextSpotter: An End-to-End Trainab …

Paper Group ANR 709

January 29, 2020

Towards Characterizing Divergence in Deep Q-Learning. Automatic Evaluation of Local Topic Quality. MonoNet: Towards Interpretable Models by Learning Monotonic Features. Multi-Player Bandits: The Adversarial Case. Extension of Rough Set Based on Positive Transitive Relation. Unsupervised Automatic Building Extraction Using Active Contour Model on Un …

Paper Group ANR 719

January 29, 2020

Applications of Generative Adversarial Models in Visual Search Reformulation. Multimodal Abstractive Summarization for How2 Videos. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Vouw: Geometric Pattern Mining using the MDL Principle. Classification Accuracy Score for Conditional Generative Models. Eigenvalue and Generalized …

Paper Group ANR 735

January 29, 2020

Rethinking Person Re-Identification with Confidence. Scanner Invariant Representations for Diffusion MRI Harmonization. Richer priors for infinitely wide multi-layer perceptrons. Augmented Replay Memory in Reinforcement Learning With Continuous Control. Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuro …

Paper Group ANR 760

January 29, 2020

Preprocessing Methods and Pipelines of Data Mining: An Overview. ArCo: the Italian Cultural Heritage Knowledge Graph. Deep Detector Health Management under Adversarial Campaigns. Hyperparameter Optimisation with Early Termination of Poor Performers. A Targeted Acceleration and Compression Framework for Low bit Neural Networks. Algorithms for certai …

Paper Group ANR 833

January 28, 2020

A Novel Demodulation and Estimation Algorithm for Blackout Communication: Extract Principal Components with Deep Learning. Unsupervised Text Summarization via Mixed Model Back-Translation. Robust Reinforcement Learning for Continuous Control with Model Misspecification. Stochastic Neural Network with Kronecker Flow. ASCNet: Adaptive-Scale Convoluti …

Paper Group ANR 888

January 28, 2020

Predicting Brazilian court decisions. Response Transformation and Profit Decomposition for Revenue Uplift Modeling. Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. Social Influence and Radicalization: A Social Data Analytics Study. Differentially Private Markov Chain Monte Carlo. Quasi-Newton Trust Region Policy Optimization. Qua …

Paper Group ANR 913

January 28, 2020

Learning physics-based reduced-order models for a single-injector combustion process. Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?. Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning. Detecting Cyber …

Paper Group ANR 914

January 28, 2020

300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning. Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks. Sample-Optimal Parametric Q-Learning Using Linearly Additive Features. Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation. Co …

Paper Group ANR 952

January 28, 2020

Backprop Diffusion is Biologically Plausible. Real-time Multiple People Hand Localization in 4D Point Clouds. DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback. A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. Quantum Latent Semantic Analysis. Parity Models: A General Fra …

Paper Group ANR 1086

January 27, 2020

VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points. Energy-Based Continuous Inverse Optimal Control. AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. Neural Network Based Parameter Estimation Method for the Pareto/NBD Model. Compressing GANs using Knowledge Distillation. …

Paper Group ANR 1132

January 27, 2020

Generating superpixels using deep image representations. On Quantified Modal Theorem Proving for Modeling Ethics. Testing Mixtures of Discrete Distributions. Efficient Algorithms for Smooth Minimax Optimization. Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees. Two Computational Mod …

Paper Group ANR 1135

January 27, 2020

ChronoMID - Cross-Modal Neural Networks for 3-D Temporal Medical Imaging Data. Leveraging Dependency Forest for Neural Medical Relation Extraction. Variational Temporal Abstraction. Using Semantic Role Knowledge for Relevance Ranking of Key Phrases inDocuments: An Unsupervised Approach. A Probabilistic Generative Model of Linguistic Typology. RAP-N …

Paper Group ANR 1143

January 27, 2020

DAL – A Deep Depth-aware Long-term Tracker. Score and Lyrics-Free Singing Voice Generation. Neural networks-based backward scheme for fully nonlinear PDEs. A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression. Unsupervised Representation Learning for Gaze Estimation. 360 Panorama Synthesis from a Sparse S …

Paper Group ANR 1167

January 27, 2020

Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. Deep Kernel Learning for Clustering. Multi-Model Investigative Exploration of Social Media Data with boutique: A Case Study in Public Health. All-Action Policy Gradient M …

Paper Group ANR 1174

January 27, 2020

Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems. A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS. Dynamic Context Correspondence Network for Semantic Alignment. Locally adaptive activation functions with slope recovery term for deep and physics-informed ne …

Paper Group ANR 1208

January 27, 2020

Continual Learning in Neural Networks. Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network. Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. Online Object Repres …

Paper Group ANR 1254

January 27, 2020

Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia. Optimising the Input Image to Improve Visual Relationship Detection. Deep Learning for Stock Selection Based on High Frequency Price-Volume Data. Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine s …

Paper Group ANR 1279

January 27, 2020

Attributes-aided Part Detection and Refinement for Person Re-identification. Flavour Enhanced Food Recommendation. Unsupervised Separation of Dynamics from Pixels. Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. Place-specific Background Modeling Using Recursive Autoencoders. Uncertainty-aware Model-based …

Paper Group ANR 1321

January 27, 2020

Attention Guided Anomaly Localization in Images. Adversarial FDI Attack against AC State Estimation with ANN. Object-Centric Task and Motion Planning in Dynamic Environments. Texture Underfitting for Domain Adaptation. Towards White-box Benchmarks for Algorithm Control. Experience Replay Optimization. Deep Parametric Indoor Lighting Estimation. Who …

Paper Group ANR 1324

January 27, 2020

$DC^2$: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering. Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles. Crime Analysis using Open Source Information. Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. Challenges in Building Inte …

Paper Group ANR 1340

January 27, 2020

Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks. Attract or Distract: Exploit the Margin of Open Set. FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control. Analysis of an Automated Machine Learning Approach in Brain Pred …