Change Point Detection

Paper Group AWR 105

February 1, 2020

Convolutional neural networks: a magic bullet for gravitational-wave detection?. Coherent Semantic Attention for Image Inpainting. FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey. Interpretable Deep Learning in Drug Discovery. …

Paper Group AWR 116

February 1, 2020

Towards Interactive Training of Non-Player Characters in Video Games. Counterpoint by Convolution. Incremental Learning Techniques for Semantic Segmentation. Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. How to Initialize your Network? Robust Initialization for WeightNorm & ResNets. Anti …

Paper Group AWR 80

February 1, 2020

Hierarchical Context enabled Recurrent Neural Network for Recommendation. Convolutional Mesh Regression for Single-Image Human Shape Reconstruction. Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning. Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation. (Male, Bachelor) and …

Paper Group ANR 32

January 31, 2020

Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos. Superpixel-based Color Transfer. Patent Claim Generation by Fine-Tuning OpenAI GPT-2. PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography. Adaptive Neuro Particle Swarm Optimization applied for diagnosing disorders. Kerne …

Paper Group ANR 59

January 31, 2020

Mean Estimation from One-Bit Measurements. Online Graph-Based Change-Point Detection for High Dimensional Data. Appearance-Based Gaze Estimation Using Dilated-Convolutions. Purifying Naturalistic Images through a Real-time Style Transfer Semantics Network. DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features. Location A …

Paper Group ANR 529

January 29, 2020

Seeing and Hearing Egocentric Actions: How Much Can We Learn?. ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. Deep density ratio estimation for change point detection. Towards Distributed Logic Programming based on Computability Logic. On Simulation and Trajectory Prediction with G …

Paper Group ANR 945

January 28, 2020

Sublinear Optimal Policy Value Estimation in Contextual Bandits. Privately detecting changes in unknown distributions. Unsupervised Detection of Sub-events in Large Scale Disasters. Time Series Source Separation using Dynamic Mode Decomposition. Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditi …

Paper Group ANR 960

January 28, 2020

Glottal Source Processing: from Analysis to Applications. Attention Interpretability Across NLP Tasks. NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network. Video Summarization via Actionness Ranking. Widely Linear Kernels for Complex-Valued Kernel Activation Functions. Improving Human Text Comprehension through Semi-Mark …

Paper Group ANR 962

January 28, 2020

Heterogeneous Collaborative Filtering. Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing. Manifold Forests: Closing the Gap on Neural Networks. Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases. Deep Learning and Gaussian Process based Band Assignment in Dual Band Systems. One-Shot Template …

Paper Group ANR 1154

January 27, 2020

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. Ordinal Regression as Structured Classification. Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods. Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung …

Paper Group ANR 1163

January 27, 2020

Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence. Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification. Constrained Bilinear Factorization Multi-view Subspace Clustering. Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction …

Paper Group ANR 1276

January 27, 2020

Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. Graph-based Multi-view Binary Learning for Image Clustering. Toward a Computational Theory of Evidence-Based Reasoning for Instructable Cognitive Agents. Learning eating environments through scene clustering. Online Debiasing for Adaptively Coll …

Paper Group ANR 1387

January 26, 2020

Towards a computer-interpretable actionable formal model to encode data governance rules. TopoAct: Exploring the Shape of Activations in Deep Learning. Bifurcation Spiking Neural Network. BERTQA – Attention on Steroids. Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features. Machine Learning meets Numbe …

Paper Group ANR 1597

January 26, 2020

Temporal-Clustering Invariance in Irregular Healthcare Time Series. V2S attack: building DNN-based voice conversion from automatic speaker verification. Cost-sensitive Selection of Variables by Ensemble of Model Sequences. Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives. Benchmarking air-conditioning e …

Paper Group ANR 1674

January 25, 2020

Clinically Accurate Chest X-Ray Report Generation. Zero-Shot Action Recognition in Videos: A Survey. Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. Combining No-regret and Q-learning. Bayesian Model Selection for Change Point Detection and Clustering. An Unethical Optimization Principle. Fine-Grained An …

Paper Group ANR 1771

January 25, 2020

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. All It Takes is 20 Questions!: A Knowledge Graph Based Approach. Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. Assessment of Multiple-Biomarker Classifiers: fundamental principles and a p …

Paper Group NANR 158

January 24, 2020

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. Vector of Locally Aggregated Embeddings for Text Representation. How well do NLI models capture verb veridicality?. QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge. Original Semantics-Oriented Attention and Deep Fusion Network for …