Bayesian Inference

Paper Group ANR 1166

January 27, 2020

Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set. Variational Bayesian inference of hidden stochastic processes with unknown parameters. Phase transitions and optimal algorithms for semi-supervised classifications on graphs: from belief propagation to graph convolution network. Agile Domain Adaptation. …

Paper Group ANR 1181

January 27, 2020

Rank Aggregation via Heterogeneous Thurstone Preference Models. 3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. Learning to estimate label uncertainty for automatic radiology report parsing. Learning from a Teacher using Unlabeled Data. Video Stitching for Linear Camera Arrays. Information in Infinite Ensembles of Infinitely-W …

Paper Group ANR 1193

January 27, 2020

$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features. Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. Response of Selective Attention in Middle Temporal Area. Learning Numeral Embeddings. Weighted Mean Curvature. Augmented Utilitarianism for AGI Safety. An Eff …

Paper Group ANR 1194

January 27, 2020

Outside the Box: Abstraction-Based Monitoring of Neural Networks. Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce. Black Box Submodular Maximization: Discrete and Continuous Settings. Salient Instance Segmentation via Subitizing and Clustering. Distilling importance sampling. Variational inference for neur …

Paper Group ANR 1233

January 27, 2020

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs. Aspect Category Detection via Topic-Attention Network. Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training. Towards multi-sequence MR image recovery from undersampled k-space data. The Practicality of Stochastic Optim …

Paper Group ANR 1267

January 27, 2020

Active Automata Learning with Adaptive Distinguishing Sequences. A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing. Latent Space Reinforcement Learning for Steering Angle Prediction. On the geometry of Stein variational gradient descent. Forecasting Future Action Sequences with Neural Memory Networks. Cluste …

Paper Group ANR 1272

January 27, 2020

Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked. Multi-Objective Evolutionary Algorithms platform with support for flexible hybridization tools. Measuring Belief and Risk Attitude. Evaluating robustness of language models for chief complaint extraction from patient-generated text. Safe and Near-Optimal Policy Learni …

Paper Group ANR 1284

January 27, 2020

Matrix and tensor decompositions for training binary neural networks. Information Robust Dirichlet Networks for Predictive Uncertainty Estimation. Video-Driven Speech Reconstruction using Generative Adversarial Networks. Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment. Recursive V …

Paper Group ANR 1288

January 27, 2020

Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. Road Context-aware Intrusion Detection System for Autonomous Cars. ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks. Predictive Uncertainty Quantification with Compound Density Networks. Challenges in …

Paper Group ANR 1298

January 27, 2020

Uncertainty Based Detection and Relabeling of Noisy Image Labels. Improving Sequence-to-Sequence Learning via Optimal Transport. On the Robustness of Human Pose Estimation. Hamiltonian Generative Networks. Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity. Vector Field Neural Networks. Conceptor …

Paper Group ANR 1316

January 27, 2020

PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension. Attention-based Supply-Demand Prediction for Autonomous Vehicles. A Stochastic Variance Reduced Nesterov’s Accelerated Quasi-Newton Method. Anti-efficient encoding in emergent communication. Relaxed Softmax for learning …

Paper Group ANR 1317

January 27, 2020

Localized Trajectories for 2D and 3D Action Recognition. A Regression Framework for Predicting User’s Next Location using Call Detail Records. Task-Driven Common Representation Learning via Bridge Neural Network. We Know Where We Don’t Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. Safe-Bayes …

Paper Group ANR 1332

January 27, 2020

On the Minimax Optimality of Estimating the Wasserstein Metric. Soft-ranking Label Encoding for Robust Facial Age Estimation. Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout. Truck Traffic Monitoring with Satellite Images. ViewSynth: Learning Local Features from Depth using View Synthesis. Fast Mult …

Paper Group ANR 1333

January 27, 2020

Contextual Online False Discovery Rate Control. Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping. A Useful Taxonomy for Adversarial Robustness of Neural Networks. M3D-GAN: Multi-Modal Multi-Domain Trans …

Paper Group ANR 1337

January 27, 2020

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. Transflow Learning: Repurposing Flow Models Without Retraining. On Universal Features for High-Dimensional Learning and Inference. Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. Wasserstein Distance Guided Cross-Domain Learning. …

Paper Group ANR 1342

January 27, 2020

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. Identifying Patient Groups based on Frequent Patterns of Patient Samples. Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. Mixed-Precision Quantized …

Paper Group ANR 1353

January 26, 2020

Robust Shape Regularity Criteria for Superpixel Evaluation. A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. Beauty Learning and Counterfactual Inference. Real-Time Semantic Segmentation via Multiply Spatial Fusion Network. Causal Discovery with General Non-Linear Relationships Using …

Paper Group ANR 1379

January 26, 2020

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. Generating Long Sequences with Sparse Transformers. Elements of Sequential Monte Carlo. Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. Transform Learning for Magnet …

Paper Group ANR 1399

January 26, 2020

Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization. A neural network based policy iteration algorithm with global $H^2$-superlinear convergence for stochastic games on domains. Representing text as abstract images enables image classifiers to also simultaneously classify text. Representation of Federated Learning via Worst-Ca …

Paper Group ANR 1407

January 26, 2020

Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. Self-supervised Learning for Single View Depth and Surface Normal Estimation. Machine Vision in the Context of Robotics: A Systematic Literature Review. Knowledge Graph Development for Ap …

Paper Group ANR 1442

January 26, 2020

Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. Universal Lipschitz Approximation in Bounded Depth Neural Networks. Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. Aerial hyperspectra …

Paper Group ANR 1468

January 26, 2020

A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure. Deep Learning Multidimensional Projections. Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. On the relationship between multitask neural networks and multitask Gaussian Processes. Stationary …

Paper Group ANR 1497

January 26, 2020

Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. A Closer Look at Disentangling in $β$-VAE. Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. Tracking the Consumption Junction: Temporal Dependencies bet …

Paper Group ANR 1530

January 26, 2020

Paper Group ANR 1538

January 26, 2020

A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. Visual Context-aware Convolution Filters for Transformation-invariant Neural Network. Language Transfer for Early Warning of Epidemics from Social Media. Finite-Tim …

Paper Group ANR 1544

January 26, 2020

Citizens’ Emotion on GST: A Spatio-Temporal Analysis over Twitter Data. Diagnosing Reinforcement Learning for Traffic Signal Control. A Bayesian Approach for Accurate Classification-Based Aggregates. OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features. Identity-Aware Deep Face Hallucination via Adversarial Fa …

Paper Group ANR 1581

January 26, 2020

Non-discriminative data or weak model? On the relative importance of data and model resolution. Implicit Generative Modeling for Efficient Exploration. All SMILES Variational Autoencoder. DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning. GPT-based Generation for Classical Chinese Poetry. Histogram Transform Ensemble …

Paper Group ANR 1586

January 26, 2020

Accelerated Flow for Probability Distributions. Stochastic gradient Markov chain Monte Carlo. Biomedical Evidence Generation Engine. Regularized Non-negative Spectral Embedding for Clustering. High Utility Interval-Based Sequences. Template-Based Automatic Search of Compact Semantic Segmentation Architectures. How multilingual is Multilingual BERT? …