reinforcement learning

Paper Group ANR 751

January 29, 2020

Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space. Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. Query-by-example on-device keyword spotting. Reinforcement Learning in Heal …

Paper Group ANR 753

January 29, 2020

PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction. Adversarial Risk via Optimal Transport and Optimal Couplings. Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction. Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder. High …

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 759

January 29, 2020

A system for generating complex physically accurate sensor images for automotive applications. Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant. Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics. BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using T …

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 761

January 29, 2020

Towards Accurate Camera Geopositioning by Image Matching. Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning. Variance Estimation For Dynamic Regression via Spectrum Thresholding. Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images. Anomaly Detection with Adversarial Dual …

Paper Group ANR 764

January 29, 2020

Optimal Unsupervised Domain Translation. On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics. Multi-Grained Spatio-temporal Modeling for Lip-reading. Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio. Double Transfer Learning for Breast Cancer Histopatholo …

Paper Group ANR 766

January 29, 2020

A Critical Analysis of Biased Parsers in Unsupervised Parsing. Smooth Adversarial Examples. Non-negative representation based discriminative dictionary learning for face recognition. Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices. From Observability to Significance in Distributed Information Syst …

Paper Group ANR 768

January 29, 2020

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation. Sign Language Recognition Analysis using Multimodal Data. MinCall - MinION end2end convolutional deep learning basecaller. AI-based Pilgrim Detection using Convolutional Neural Networks. Obj-GloVe: Scene-Based Contextual Object Embedding. Fake news detection using Deep …

Paper Group ANR 769

January 29, 2020

The Complexity of Making the Gradient Small in Stochastic Convex Optimization. Reference-Based Sequence Classification. On the Importance of Delexicalization for Fact Verification. Attributed Graph Learning with 2-D Graph Convolution. Conversational Product Search Based on Negative Feedback. Distribution-Dependent Analysis of Gibbs-ERM Principle. N …

Paper Group ANR 1001

January 28, 2020

Multi-user Augmented Reality Application for Video Communication in Virtual Space. Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. Strong Log-Concavity Does Not Imply Log-Submodularity. DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction. Schrödinger-ANI: An Eight-Element Neural Network Interaction Potentia …

Paper Group ANR 1002

January 28, 2020

Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. An Online Topic Modeling Framework with Topics Automatically Labeled. Detection of Classifier Inconsistencies in Image Steganalysis. Inferring Global Dynamics of a Black-Box System Using Machine Learning. Adversarial attacks on Copyright Detection Systems. A Corpus-free State2Seq …

Paper Group ANR 1005

January 28, 2020

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field. Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information. A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. Hiding Information in Big Data based on Deep Learning. Microsco …

Paper Group ANR 1006

January 28, 2020

Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving. DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. Butterfly Transform: An Efficient FFT Based Neural Architecture Design. A Deep Q-Learning Method for Downl …

Paper Group ANR 1007

January 28, 2020

The LIG system for the English-Czech Text Translation Task of IWSLT 2019. WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning. ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinfor …

Paper Group ANR 1009

January 28, 2020

Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach. Learning Effective Visual Relationship Detector on 1 GPU. Geometric Pose Affordance: 3D Human Pose with Scene Constraints. Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network. Silhouette-Net: 3D Hand Pose Estimation from Silhouettes. …

Paper Group ANR 1013

January 28, 2020

Exploring Frame Segmentation Networks for Temporal Action Localization. Segregation Dynamics with Reinforcement Learning and Agent Based Modeling. Learning Action Models from Disordered and Noisy Plan Traces. Object-Guided Instance Segmentation for Biological Images. Learning an Adaptive Learning Rate Schedule. Shape-aware Feature Extraction for In …

Paper Group ANR 1016

January 28, 2020

A New Approach for Explainable Multiple Organ Annotation with Few Data. Stochastic Inverse Reinforcement Learning. Parareal with a Learned Coarse Model for Robotic Manipulation. Generalized Linear Rule Models. Generative Imaging and Image Processing via Generative Encoder. A Hierarchical Bayesian Model for Size Recommendation in Fashion. A Deep Lea …

Paper Group ANR 1019

January 28, 2020

The Computational Complexity of Fire Emblem Series and similar Tactical Role-Playing Games. 6D Object Pose Estimation without PnP. Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. Penalized regression via the restricted bridge estimator. Some machine learning schemes for high-dimensional nonlinear PDEs. Predicti …

Paper Group ANR 1020

January 28, 2020

Inferring Which Medical Treatments Work from Reports of Clinical Trials. Using AI/ML to gain situational understanding from passive networkobservations. Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel. iSarcasm: A Dataset of Intended Sarcasm. Deep Bidirectional Transformers for Relation Extraction without Supervision. Detection …

Paper Group ANR 1021

January 28, 2020

Random 2.5D U-net for Fully 3D Segmentation. Maintaining Discrimination and Fairness in Class Incremental Learning. Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors. The Ridge Path Estimator for Linear Instrumental Variables. Low-dimensional statistical manifold embedding of directed graphs. DeL …

Paper Group ANR 1023

January 28, 2020

Transcriptional Response of SK-N-AS Cells to Methamidophos. Signal propagation in continuous approximations of binary neural networks. Transformer-based Acoustic Modeling for Hybrid Speech Recognition. A Proposal-based Approach for Activity Image-to-Video Retrieval. Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation. …

Paper Group ANR 1024

January 28, 2020

Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. Human Motion Trajectory Prediction: A Survey. Joint Reasoning for Temporal and Causal Relations. Improving Humanness of Virtual Agents and Users’ Cooperation through Emotions. Conditional Generative Neural System for Probabilistic Trajectory Prediction. Giving Atte …

Paper Group ANR 1027

January 28, 2020

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification. Empirical effect of graph embeddings on fraud detection/ risk mitigation. A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks. Deep Learning-based Radiomic Features fo …

Paper Group ANR 1028

January 28, 2020

Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning. Evaluating structure learning algorithms with a balanced scoring function. What Makes Training Multi-Modal Classification Networks Hard?. Computing the Scope of Applicability for Acquired Task Knowledge …

Paper Group ANR 1029

January 28, 2020

Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. Mapping Areas using Computer Vision Algorithms and Drones. An Optimization Framework for Task Sequencing in Curriculum Learning. Finite-Time Error Bounds For Linear Stochastic Approximati …

Paper Group ANR 1030

January 28, 2020

Bayesian Nonparametric Boolean Factor Models. A Syntactic Operator for Forgetting that Satisfies Strong Persistence. Low-rank approximations of hyperbolic embeddings. Certifiably Optimal Sparse Inverse Covariance Estimation. Regularizing Trajectory Optimization with Denoising Autoencoders. Neural Policy Gradient Methods: Global Optimality and Rates …

Paper Group ANR 1031

January 28, 2020

Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data. Design Space Exploration as Quantified Satisfaction. Conditional Vehicle Trajectories Prediction in CARLA Urban Environment. Learning Vision-based Flight in Drone Swarms by Imitation. Word Usage Similarity Estima …