Anomaly Detection

Paper Group ANR 291

January 30, 2020

Few-Shot and Zero-Shot Learning for Historical Text Normalization. Multi-Task Learning for Coherence Modeling. 5D Light Field Synthesis from a Monocular Video. Time-Varying Interaction Estimation Using Ensemble Methods. Multitask Learning for Blackmarket Tweet Detection. Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers. …

Paper Group ANR 295

January 30, 2020

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. Logistic principal component analysis via non-convex singular value thresholding. DaTscan SPECT Image Classification for Parkinson’s Disease. SRG: Snippet Relatedness-based Temporal Action Proposal Generator. Anomaly Detection in Traffic Scenes via Spatial- …

Paper Group ANR 304

January 30, 2020

Geodesic Learning via Unsupervised Decision Forests. Fine-grained Qualitative Spatial Reasoning about Point Positions. Synthetic Defocus and Look-Ahead Autofocus for Casual Videography. ANTIQUE: A Non-Factoid Question Answering Benchmark. Feature-driven Improvement of Renewable Energy Forecasting and Trading. Robust Opponent Modeling via Adversaria …

Paper Group ANR 305

January 30, 2020

Multimodal Subspace Support Vector Data Description. RAD: On-line Anomaly Detection for Highly Unreliable Data. TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution. PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. Free-riders …

Paper Group ANR 313

January 30, 2020

Static Analysis for Probabilistic Programs. Walling up Backdoors in Intrusion Detection Systems. A Linear Systems Theory of Normalizing Flows. Distinguishing mirror from glass: A ‘big data’ approach to material perception. Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. Learning Transferable Features for Speech Emotion Recogni …

Paper Group ANR 320

January 30, 2020

MDFN: Multi-Scale Deep Feature Learning Network for Object Detection. Iterated two-phase local search for the Set-Union Knapsack Problem. Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout. The Optimal Approximation Factor in …

Paper Group ANR 337

January 30, 2020

Customer Segmentation of Wireless Trajectory Data. Error Analysis on Graph Laplacian Regularized Estimator. Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression. MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. Leaky Tiling …

Paper Group ANR 340

January 30, 2020

Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution. Free resolutions of function classes via order complexes. A Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data. Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning. Artificial Intelligence and Machin …

Paper Group ANR 350

January 30, 2020

Evaluating the Representational Hub of Language and Vision Models. Gradient Flows and Accelerated Proximal Splitting Methods. Improving Action Localization by Progressive Cross-stream Cooperation. Embedded Constrained Feature Construction for High-Energy Physics Data Classification. Predictive Coding as Stimulus Avoidance in Spiking Neural Networks …

Paper Group ANR 357

January 30, 2020

Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. Metamorphic Testing for Object Detection Systems. Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data. Inferring linear and nonlinear Interaction networks using neighborhood support vec …

Paper Group ANR 365

January 30, 2020

Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. A Theory of Uncertainty Variables for State Estimation and Inference. Applying Abstract Argumentation Theory to Cooperative Game Theory. Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. Enhancing the …

Paper Group ANR 389

January 30, 2020

Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach. Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound. Neuromorphic Hardware learns to learn. Robust Local Features for Improving the Generalization of Adversarial Training. A Novel CMB Com …

Paper Group ANR 390

January 30, 2020

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. Reinforcement Learning with Non-uniform State Representations for Adaptive Search. Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space. Learning to Learn Semantic Parsers from Natural Language Supervision. Counterfactual diag …

Paper Group ANR 398

January 30, 2020

An Online Decision-Theoretic Pipeline for Responder Dispatch. ShEMO – A Large-Scale Validated Database for Persian Speech Emotion Detection. Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks. Optimal Training of Fair Predictive Models. DLBricks: Composable Benchmark Generation to Reduce Deep Lea …

Paper Group ANR 413

January 30, 2020

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. Black-Box Complexity of the Binary Value Function. Bridging the Gap between Training and Inference for Neural Machine Translation. Characterizing the impact of geometric properties of word embeddings on task performance. The Role of Interactivity in Local Differential Priv …

Paper Group ANR 427

January 30, 2020

ODE-based Deep Network for MRI Reconstruction. SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions. Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. Deep Adversarial Network Alignment. Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. Normalizin …

Paper Group ANR 429

January 30, 2020

Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection. Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration. An AI-based, Multi-stage detection system of banking botnets. Federated Learning with Bayesian Differential Privacy. A Novel Adap …

Paper Group ANR 430

January 30, 2020

Mining GOLD Samples for Conditional GANs. Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference. Natural Language Generation at Scale: A Case Study for Open Domain Question Answering. $\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. The double traveli …

Paper Group ANR 440

January 30, 2020

Learning to Prune: Speeding up Repeated Computations. Time-sync Video Tag Extraction Using Semantic Association Graph. Hyper-Graph-Network Decoders for Block Codes. Interpretability Beyond Classification Output: Semantic Bottleneck Networks. Investigating Antigram Behaviour using Distributional Semantics. Carpe Diem, Seize the Samples Uncertain “At …

Paper Group ANR 459

January 30, 2020

Constrained Attractor Selection Using Deep Reinforcement Learning. Gait Recognition via Disentangled Representation Learning. Robustness of Neural Networks to Parameter Quantization. Support Vector Machines on Noisy Intermediate Scale Quantum Computers. An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network. E …

Paper Group ANR 489

January 29, 2020

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. Local block-wise self attention for normal organ segmentation. Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening. Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout. Individualized Multilayer Tensor Le …

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 537

January 29, 2020

Approximate Inference in Structured Instances with Noisy Categorical Observations. Fault Detection Using Nonlinear Low-Dimensional Representation of Sensor Data. Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning. City-scale Road Extraction from Satellite Imagery. Unsupervised Deep Feature Transfer for Low R …

Paper Group ANR 539

January 29, 2020

How Good is SGD with Random Shuffling?. Connecting exciton diffusion with surface roughness via deep learning. On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment. Bayesian sparse convex clustering via global-local shrinkage priors. NASIB: Neural Archit …

Paper Group ANR 548

January 29, 2020

Machine learning and glioma imaging biomarkers. Splitting Methods for Convex Bi-Clustering and Co-Clustering. Learning Multilingual Word Embeddings Using Image-Text Data. PVSS: A Progressive Vehicle Search System for Video Surveillance Networks. Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. Towards vision-based robotic skins: a …

Paper Group ANR 608

January 29, 2020

Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. Model Slicing for Supporting Complex Analytics with El …

Paper Group ANR 626

January 29, 2020

Jointly optimal dereverberation and beamforming. Component-Wise Boosting of Targets for Multi-Output Prediction. On the Convergence of Model Free Learning in Mean Field Games. Condition monitoring and early diagnostics methodologies for hydropower plants. WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis. A …

Paper Group ANR 634

January 29, 2020

Scalable Exact Inference in Multi-Output Gaussian Processes. Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles. Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants. High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes. Robust Prediction when Features are Missing. Multi-Objec …