machine learning

Paper Group ANR 197

Paper Group ANR 197

April 2, 2020

An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms. Watch and learn – a generalized approach for transferrable learning in deep neural networks via physical principles. Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. COVID-ResNet: A Deep Learning Framework for Screeni …
Paper Group ANR 198

Paper Group ANR 198

April 2, 2020

PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. Modeling 3D Shapes by Reinforcement Learning. MQA: Answering the Question via Robotic Manipulation. Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree. Improving Deep Learning For Airbnb Search. Modelling and Quantifying Membership Information …
Paper Group ANR 199

Paper Group ANR 199

April 2, 2020

Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images. Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation. Separation of target anatomical structure and occlusions in chest radiographs. Twitter Bot Detection Using Bidirectional Long Short-term Memory Neural Network …
Paper Group ANR 200

Paper Group ANR 200

April 2, 2020

MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities. What is the optimal depth for deep-unfolding architectures at deployment?. Optimizing Black-box Metrics with Adaptive Surrogates. Graph Attentional Autoencoder for Anticancer Hyperfood Prediction. Adversarial Imitation Attack. On the adversarial robustness …
Paper Group ANR 201

Paper Group ANR 201

April 2, 2020

Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario. Fourier Transform Approach to Machine Learning III: Fourier Classification. PathVQA: 30000+ Questions for Medical Visual Question Answering. QActor: On-line Active Learning for Noisy Labeled Stream Data. Fairness Measures for Regression via Probabilistic Classification. Effi …
Paper Group ANR 202

Paper Group ANR 202

April 2, 2020

Estimating Aggregate Properties In Relational Networks With Unobserved Data. Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach. Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs. Risk-Averse Learning by Temporal Difference Methods. Multi-Class Classification from Noisy-Similarity-Label …
Paper Group ANR 204

Paper Group ANR 204

April 2, 2020

Learning Memory-guided Normality for Anomaly Detection. LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. Online Semantic Exploration of Indoor Maps. A Unifying Network Architecture for Semi-Structured Deep Distributional Learning. Reward Design for Driver Repositioning Using Multi …
Paper Group ANR 205

Paper Group ANR 205

April 2, 2020

Q-Learning for Mean-Field Controls. Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems. Learning Cost Functions for Optimal Transport. Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images. An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generatio …
Paper Group ANR 206

Paper Group ANR 206

April 2, 2020

ExEm: Expert Embedding using dominating set theory with deep learning approaches. Classifying Images with Few Spikes per Neuron. Image Inpainting by Multiscale Spline Interpolation. Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. Robust Q-learning. Disentangling Adaptive Gradient Methods from Le …
Paper Group ANR 207

Paper Group ANR 207

April 2, 2020

A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation. Differential Privacy for Eye Tracking with Temporal Correlations. Reinforcement learning for the manipulation of eye tracking data. Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. End-to-End Models …
Paper Group ANR 208

Paper Group ANR 208

April 2, 2020

Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. Permutohedral-GCN: Graph Convolutional Networks with Global Attention. Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. Explainable Deep Classification Models for Domain Generalization. Error Estimation for Sketched SVD via th …
Paper Group ANR 209

Paper Group ANR 209

April 2, 2020

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices. Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale. DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval. Applying r-spatiogram in obj …
Paper Group ANR 210

Paper Group ANR 210

April 2, 2020

Fair Principal Component Analysis and Filter Design. Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. Search Space of Adversarial Perturbations against Image Filters. Estimating Training Data Influence by Tracking Gradient Descent. …
Paper Group ANR 211

Paper Group ANR 211

April 2, 2020

Deep Transfer Learning for Physiological Signals. Benign overfitting in the large deviation regime. Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention. Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. Residual Block-based Multi-Label Classification and Localization Network with Int …
Paper Group ANR 213

Paper Group ANR 213

April 2, 2020

Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification. Tree-structured Attention with Hierarchical Accumulation. Deep Learning Tubes for Tube MPC. FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. …
Paper Group ANR 214

Paper Group ANR 214

April 2, 2020

Neighborhood-based Pooling for Population-level Label Distribution Learning. Automatic phantom test pattern classification through transfer learning with deep neural networks. SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. Predicting Semantic Map Representations from Images using P …
Paper Group ANR 215

Paper Group ANR 215

April 2, 2020

Deep Quaternion Features for Privacy Protection. EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement. Discernible Compressed Images via Deep Perception Consistency. Deep Domain Adaptive Object Detection: a Survey. Local Facial Attribute Transfer through Inpainting. A hybrid optimization procedure for solving a ti …
Paper Group ANR 216

Paper Group ANR 216

April 2, 2020

TREC CAsT 2019: The Conversational Assistance Track Overview. Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension. Incorporating BERT into Neural Machine Translation. Demographic Bias in Presentation Attack Detection of Iris Recognition Systems. Robust Iris Presentation Attack Detection Fusing 2D and 3D Information. …
Paper Group ANR 217

Paper Group ANR 217

April 2, 2020

Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning. A hybrid algorithm for …
Paper Group ANR 218

Paper Group ANR 218

April 2, 2020

Derivation of QUBO formulations for sparse estimation. ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution. Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods. Investigating Potential Factors …
Paper Group ANR 219

Paper Group ANR 219

April 2, 2020

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. Deep Sigma Point Processes. Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. Knot Selection in Sparse Gaussian Processes. Fast Depth Estimation for View Synthesis. Weakly-supervised Multi-output Regression via Correlated Gaussian Pr …
Paper Group ANR 220

Paper Group ANR 220

April 2, 2020

Retrospective Reader for Machine Reading Comprehension. Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing. Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach. Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods. Assortment Optimization with Repeated Exposures …
Paper Group ANR 221

Paper Group ANR 221

April 2, 2020

Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. A tutorial on the range variant of asymmetric numeral systems. On a Generalization of the Average Distance Classifier. Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification. Rethinking Sparse Gaussian Processes: Bayesian Ap …
Paper Group ANR 222

Paper Group ANR 222

April 2, 2020

FedRec: Privacy-Preserving News Recommendation with Federated Learning. Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction. BBAND Index: A No-Reference Banding Artifact Predictor. Are You Satisfied by This Partial Assignment?. FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images. …
Paper Group ANR 223

Paper Group ANR 223

April 2, 2020

Reservoir computing model of two-dimensional turbulent convection. Contextual Constrained Learning for Dose-Finding Clinical Trials. A Theory of Usable Information Under Computational Constraints. Fairness in ad auctions through inverse proportionality. Practical Annotation Strategies for Question Answering Datasets. Differentially Private k-Means …
Paper Group ANR 224

Paper Group ANR 224

April 2, 2020

Normalizing Flows on Tori and Spheres. Provably Efficient Adaptive Approximate Policy Iteration. How Much Position Information Do Convolutional Neural Networks Encode?. Prior-enlightened and Motion-robust Video Deblurring. Gender Genetic Algorithm in the Dynamic Optimization Problem. Computer-inspired Quantum Experiments. Real-World Human-Robot Col …
Paper Group ANR 225

Paper Group ANR 225

April 2, 2020

IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach. Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. CNN-based Repetitive self-revised learning for photos’ aesthetics imbalanc …
Paper Group ANR 226

Paper Group ANR 226

April 2, 2020

Ranking a set of objects: a graph based least-square approach. MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. Active Preference Elicitation via Adjustable Robust Optimization. Multi-Task Reinforcement Learning with Soft Modularization. Learned Weight Sharing for Deep Multi-Task Learning by Natural Evo …