adversarial network

Paper Group ANR 1692

January 25, 2020

Deep Metric Learning with Density Adaptivity. Solving machine learning optimization problems using quantum computers. A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation. Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. Simultaneous Spe …

Paper Group ANR 1695

January 25, 2020

Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning. end-to-end training of a large vocabulary end-to-end speech recognition system. Low-rank Random Tensor for Bilinear Pooling. Analyzing Customer Feedback for Product Fit Prediction. Efficient Contextual Representation Learning Without Softmax Layer. Weakly-Sup …

Paper Group ANR 1696

January 25, 2020

Leveraging End-to-End Speech Recognition with Neural Architecture Search. RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. A multi-agent system approach in evaluating human spatio-temporal vulnerability to seismic risk using social attachment. Clustering by the way of atomic fission. …

Paper Group ANR 1699

January 25, 2020

Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation. An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression. Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection. LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks. DeepLig …

Paper Group ANR 1701

January 25, 2020

Federated Transfer Reinforcement Learning for Autonomous Driving. Visual Reaction: Learning to Play Catch with Your Drone. EvAn: Neuromorphic Event-based Anomaly Detection. Benefits of Overparameterization in Single-Layer Latent Variable Generative Models. Conjure Documentation, Release 2.3.0. Night Time Haze and Glow Removal using Deep Dilated Con …

Paper Group ANR 1702

January 25, 2020

Robust Regression for Safe Exploration in Control. The Six Fronts of the Generative Adversarial Networks. Tools for Mathematical Ludology. General Probabilistic Surface Optimization and Log Density Estimation. Tensor Recovery from Noisy and Multi-Level Quantized Measurements. Predicting Discourse Structure using Distant Supervision from Sentiment. …

Paper Group ANR 1703

January 25, 2020

hauWE: Hausa Words Embedding for Natural Language Processing. Bag of Color Features For Color Constancy. Curve Text Detection with Local Segmentation Network and Curve Connection. Two-Hop Walks Indicate PageRank Order. Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network. Collaborative Interactive …

Paper Group ANR 1704

January 25, 2020

A Research and Strategy of Remote Sensing Image Denoising Algorithms. Benchmarking Discrete Optimization Heuristics with IOHprofiler. Community Detection for Power Systems Network Aggregation Considering Renewable Variability. Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. Global optimization via inverse distance …

Paper Group ANR 1706

January 25, 2020

Bernoulli Race Particle Filters. Multiple Causes: A Causal Graphical View. Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. Generalizing Psychological Similarity Spaces to Unseen Stimuli. Extending a model for ontology-based Arabic-English machine translation. Correlation Maximized Structural S …

Paper Group ANR 1709

January 25, 2020

Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices. Streaming Quantiles Algorithms with Small Space and Update Time. Fast Record Linkage for Company Entities. Toward Fairness in AI for People with Disabilities: A Research Roadmap. Model-Based Reinforcement Learning for Atari. Revisiting the probabilistic me …

Paper Group ANR 1712

January 25, 2020

Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification. Helping IT and OT Defenders Collaborate. Integrating Dict …

Paper Group ANR 1713

January 25, 2020

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. Evolvability ES: Scalable and Direct Optimization of Evolvability. BUZz: BUffer Zones for defending adversarial examples in image classification. Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. Compression and Localization in Reinforcement Learn …

Paper Group ANR 1715

January 25, 2020

Machine Learning as Ecology. DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision. Understanding the Importance of Single Directions via Representative Substitution. A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis. PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degrad …

Paper Group ANR 1729

January 25, 2020

Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Uncovering Probabilistic Implications in Typological Knowledge Bases. Filter Early, Match Late: Improving Network-Based Visual Place Recognition. A New Perspective on Machine Learning: How to do Perfect Supervised Learning. PairNorm: Tackling Oversmoothing in GNNs. Stopping …

Paper Group ANR 1730

January 25, 2020

Risk Structures: Towards Engineering Risk-aware Autonomous Systems. Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting. Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network. The capacity of feedforward neural networks. Hyperspectral Ima …

Paper Group ANR 1732

January 25, 2020

Empirical Study of Easy and Hard Examples in CNN Training. Improving benchmarks for autonomous vehicles testing using synthetically generated images. Skin Lesion Classification Using Deep Neural Network. Two-Stream Video Classification with Cross-Modality Attention. Leveraging directed causal discovery to detect latent common causes. Joint Represen …

Paper Group ANR 1733

January 25, 2020

Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques. DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. Unsupervised Medical Image Translation Using Cycle-MedGAN. Privacy Attacks on Network Embeddings. Shenjing: A low power reconfigurable neuromorphic …

Paper Group ANR 1736

January 25, 2020

Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study. Demand Prediction for Electric Vehicle Sharing. Competitive Bridge Bidding with Deep Neural Networks. Context-Aware Zero-Shot Recognition. DSConv: Efficient Convolution Operator. Sample Efficient Pol …

Paper Group ANR 1739

January 25, 2020

Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction. GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus. Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation …

Paper Group ANR 1742

January 25, 2020

A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems. Using BERT for Word Sense Disambiguation. HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. Learning to Modulate for Non-coherent MIMO. PoshakNet: Framework for matching dresses from real-life photos using GAN a …

Paper Group ANR 1743

January 25, 2020

From Community to Role-based Graph Embeddings. Comparison of brain connectomes using geodesic distance on manifold:a twin study. Global Capacity Measures for Deep ReLU Networks via Path Sampling. Guided Attention Network for Object Detection and Counting on Drones. Tensor-Train Parameterization for Ultra Dimensionality Reduction. Automatic trajecto …

Paper Group ANR 1746

January 25, 2020

A Study of Deep Learning for Network Traffic Data Forecasting. Generation & Evaluation of Adversarial Examples for Malware Obfuscation. ES-MAML: Simple Hessian-Free Meta Learning. Learning to Reconstruct and Understand Indoor Scenes from Sparse Views. Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee. Automated Multid …

Paper Group ANR 1747

January 25, 2020

Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning. Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity. Learning Priors for Adversarial Autoencoders. Mixed pooling of seasonality in time series pallet forecasting. A Survey on GANs for Anomaly Detection. Ensemble Quantile Classifier. …

Paper Group ANR 1748

January 25, 2020

A Novel Universal Solar Energy Predictor. Differentiable Ranks and Sorting using Optimal Transport. Finite-Sample Analysis for SARSA with Linear Function Approximation. Least Action Principles and Well-Posed Learning Problems. Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization. Stability of Linear Structural Equat …

Paper Group ANR 1751

January 25, 2020

Weakly Supervised Recognition of Surgical Gestures. Self-supervised representation learning from electroencephalography signals. Evolving Spiking Neural Networks for Nonlinear Control Problems. Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. Actively Learning Gaussian Process Dynamics. Improving Neural …

Paper Group ANR 1752

January 25, 2020

Approximating the Permanent by Sampling from Adaptive Partitions. Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation. GANs-NQM: A Generative Adversarial Networks based No R …

Paper Group ANR 1753

January 25, 2020

Exploiting Operation Importance for Differentiable Neural Architecture Search. Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. Uncovering Download Fraud Activities in Mobile App Markets. Improving CAT Tools in the Translation Work …

Paper Group ANR 1757

January 25, 2020

A posteriori Trading-inspired Model-free Time Series Segmentation. Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. Solar-Sail Trajectory Design for Multiple Near Earth Asteroid Exploration Based on Deep Neural Networks. An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belie …