reinforcement learning

Paper Group ANR 869

January 28, 2020

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion. Clustering piecewise stationary processes. Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assista …

Paper Group ANR 871

January 28, 2020

Deep Learning on Mobile Devices - A Review. Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network. Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues. ThumbNet: One Thumbnail Image Contains All You Need for Recognition. Disentangling Redundancy for Multi-Task Pruning. Lsh-sampling Breaks the Computat …

Paper Group ANR 874

January 28, 2020

Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences. Principled Frameworks for Evaluating Ethics in NLP Systems. Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. Non-asymptotic error bounds for scaled underdamped Langevin MCMC. Complementary …

Paper Group ANR 877

January 28, 2020

Convergence Guarantees for Adaptive Bayesian Quadrature Methods. Variance Reduction in Actor Critic Methods (ACM). Evolutionary Cell Aided Design for Neural Network Architectures. A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data. Atari-fying the Vehicle Routing Problem with Stochastic Service …

Paper Group ANR 878

January 28, 2020

Findings of the Third Workshop on Neural Generation and Translation. Posterior Distribution for the Number of Clusters in Dirichlet Process Mixture Models. Vulnerable road user detection: state-of-the-art and open challenges. Anomaly Detection in High Dimensional Data. Coupling the reduced-order model and the generative model for an importance samp …

Paper Group ANR 879

January 28, 2020

HistoNet: Predicting size histograms of object instances. Multi-Preference Actor Critic. Self-supervised Object Motion and Depth Estimation from Video. An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. Adaptive Symmetric Reward Noising for Reinforcement Learning. Escaping Saddle Points with Adaptive Gradient …

Paper Group ANR 880

January 28, 2020

Unsupervised Lemmatization as Embeddings-Based Word Clustering. The Chi-Square Test of Distance Correlation. An Empirical Study of Propagation-based Methods for Video Object Segmentation. Event-based Feature Extraction Using Adaptive Selection Thresholds. Representation Learning on Graphs: A Reinforcement Learning Application. Multispectral and Hyp …

Paper Group ANR 881

January 28, 2020

Learning to Navigate Using Mid-Level Visual Priors. Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Parametric Graph-based Separable Transforms for Video Coding. Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds. From Persistent Homology to Reinforcement L …

Paper Group ANR 882

January 28, 2020

Effective Strategies for Using Hashtags in Online Communication. Decision-making and Fuzzy Temporal Logic. Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning. The Oracle of DLphi. Large Scale Model Predictive Control with Neural Networks and Primal Active Sets. Object Detection and 3D Estimation via an …

Paper Group ANR 883

January 28, 2020

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus. A Randomized Algorithm for Preconditioner Selection. DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. Distributionally Robust Multi-instance Learning with Stable Instances. Kernel-Guided Training of Impl …

Paper Group ANR 884

January 28, 2020

Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs. On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. Federated Reinforcement Distillation with Proxy Experience Memory. Coarse-to-fine Optimization for Speech Enhancement. Ontology of Card Sleights. MLSys: The New Frontier of Machine Learning Systems. Con …

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 886

January 28, 2020

Batch Face Alignment using a Low-rank GAN. A Survey of Crowdsourcing in Medical Image Analysis. An evolutionary model that satisfies detailed balance. How to define co-occurrence in different domains of study?. 3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation. Efficient Object Annotation via Speaking and Pointing. Learning Mu …

Paper Group ANR 887

January 28, 2020

Gated-Dilated Networks for Lung Nodule Classification in CT scans. SGAS: Sequential Greedy Architecture Search. TensorNetwork for Machine Learning. Fast End-to-End Wikification. Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Pola …

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 889

January 28, 2020

Outlining where humans live – The World Settlement Footprint 2015. Generalizable prediction of academic performance from short texts on social media. GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier. Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning. Correlat …

Paper Group ANR 893

January 28, 2020

Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network. Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. Combined State and Parameter Estimation in Level-Set Methods. Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ide …

Paper Group ANR 895

January 28, 2020

3D point cloud registration with shape constraint. ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks. Multitask Soft Option Learning. An Adaptive Weighted Deep Forest Classifier. Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. DEAM: Adaptive Momentum with Discriminativ …

Paper Group ANR 897

January 28, 2020

Stochastically Dominant Distributional Reinforcement Learning. Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks. The Knowledge Within: Methods for Data-Free Model Compression. Understanding LSTM – a tutorial into Long Short-Term Memory Recurrent Neural Networks. Communication-Efficient Distributed Online Learning wit …

Paper Group ANR 898

January 28, 2020

Batch-Shaping for Learning Conditional Channel Gated Networks. A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. Unsupervised Learning through Temporal Smoothing and Entropy Maximization. Distributional reinforcement learning with linear function approximation. Nonstationary Multivariate Gaussian Processes for Electron …

Paper Group ANR 899

January 28, 2020

A Method to Generate Synthetically Warped Document Image. Assigning Medical Codes at the Encounter Level by Paying Attention to Documents. Imputation estimators for unnormalized models with missing data. Decentralized Federated Learning: A Segmented Gossip Approach. Automating Predictive Modeling Process using Reinforcement Learning. Toward a bette …

Paper Group ANR 900

January 28, 2020

Region Based Adversarial Synthesis of Facial Action Units. Universal Bounding Box Regression and Its Applications. Deep Forward-Backward SDEs for Min-max Control. Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks. Distributed Fixed Point Methods with Compressed Iterates. Data Analysis of Wireless Networks Us …

Paper Group ANR 902

January 28, 2020

Human Activity Recognition with Convolutional Neural Netowrks. Precipitation Nowcasting with Star-Bridge Networks. AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings. Attributed Rhetorical Structure Grammar for Domain Text Summarization. SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction o …

Paper Group ANR 903

January 28, 2020

Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness. ACE: Adapting to Changing Environments for Semantic Segmentation. Synthesizing Visual Illusions Using Generative Adversarial Networks. Deep Multi-class Adversarial Specularity Removal. Ban …

Paper Group ANR 906

January 28, 2020

Optimality of Spectral Clustering for Gaussian Mixture Model. On the connections between algorithmic regularization and penalization for convex losses. Human Activity Recognition Using Visual Object Detection. Fault-Diagnosing SLAM for Varying Scale Change Detection. KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. Competing T …

Paper Group ANR 907

January 28, 2020

Improving land cover segmentation across satellites using domain adaptation. Controlling Style and Semantics in Weakly-Supervised Image Generation. DENS: A Dataset for Multi-class Emotion Analysis. Domain adversarial learning for emotion recognition. Training CNNs with Selective Allocation of Channels. Attention-based Convolutional Neural Network f …

Paper Group ANR 908

January 28, 2020

Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach. Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor. Oriented Boxes for Accurate Instance Segmentation. Accelerating Mi …

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 …