Information Retrieval

Paper Group ANR 482

October 18, 2019

Direction-aware Spatial Context Features for Shadow Detection and Removal. In-RDBMS Hardware Acceleration of Advanced Analytics. Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly. Local Interpretable Model-agnostic Explanations of …

Paper Group ANR 493

October 18, 2019

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. Variance Reduction for Reinforcement Learning in Input-Driven Environments. Pragmatic approach to structured data querying via natural language interface. End-to-end depth from motion with stabilized monocular videos. The Effects of Super-Resolution on Object Detection Performan …

Paper Group ANR 506

October 18, 2019

Semblance: A Rank-Based Kernel on Probability Spaces for Niche Detection. A Bayesian Model for Activities Recommendation and Event Structure Optimization Using Visitors Tracking. Neural Architecture Search: A Survey. Variance Suppression: Balanced Training Process in Deep Learning. Comparison of Semantic Segmentation Approaches for Horizon/Sky Line …

Paper Group ANR 529

October 18, 2019

Model-Driven Deep Learning for Physical Layer Communications. Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization. Trajectory Representation and Landmark Projection for Continuous-Time Structure from Motion. Visual-Inertial Object Detection and Mapping. Tsallis-INF: An Optimal Algorithm for Stochas …

Paper Group ANR 541

October 18, 2019

Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving. Convolutional Hashing for Automated Scene Matching. To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning …

Paper Group ANR 543

October 18, 2019

MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma. Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. Unary and Binary Classification Approaches and their Implications for Authorship Verification. Natural Language Multitasking: Analyzing and Improvi …

Paper Group ANR 549

October 18, 2019

Selective Zero-Shot Classification with Augmented Attributes. Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings. Deep Convolutional Neural Network for Plant Seedlings Classification. Generative x-vectors for text-independent speaker verification. Aligning Very Small Parallel Corpora …

Paper Group ANR 567

October 18, 2019

Algorithmic Aspects of Inverse Problems Using Generative Models. Numerical Aspects for Approximating Governing Equations Using Data. Unsupervised Learning for Surgical Motion by Learning to Predict the Future. ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment. Realtime Scheduling and Power Allocation Using Deep Neural Ne …

Paper Group ANR 594

October 18, 2019

Accelerated physical emulation of Bayesian inference in spiking neural networks. Are Generative Classifiers More Robust to Adversarial Attacks?. Neural Latent Extractive Document Summarization. Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks. Convolutional neural network-based regression for depth prediction in digi …

Paper Group ANR 619

October 18, 2019

Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA. A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction. REGMAPR - Text Matching Made Easy. A Semantic Model for Historical Manuscripts. What might matter in autonomous cars adoption: first person versus third person scenarios. A …

Paper Group ANR 625

October 18, 2019

Fruit Quantity and Quality Estimation using a Robotic Vision System. Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction. Disturbance Grassmann Kernels for Subspace-Based Learning. Mathematics as information compression via the matching and unification of patterns. Pattern Analysis with Layered Self-Organizing Maps. SWA …

Paper Group ANR 663

October 18, 2019

Hierarchical Representation Learning for Kinship Verification. Learning with Non-Convex Truncated Losses by SGD. Speeding Up Distributed Gradient Descent by Utilizing Non-persistent Stragglers. Analysis of Invariance and Robustness via Invertibility of ReLU-Networks. Testing the Generalization Power of Neural Network Models Across NLI Benchmarks. F …

Paper Group ANR 665

October 18, 2019

Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification. Deep learning systems as complex networks. The Goldilocks zone: Towards better understanding of neural network loss landscapes. A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation. RiTUAL-UH …

Paper Group ANR 667

October 18, 2019

Crime Event Embedding with Unsupervised Feature Selection. A Multi-channel DART Algorithm. N-fold Superposition: Improving Neural Networks by Reducing the Noise in Feature Maps. Visualizing Neural Network Developing Perturbation Theory. Sharp Attention Network via Adaptive Sampling for Person Re-identification. Tracking all members of a honey bee c …

Paper Group ANR 674

October 18, 2019

Reliable Agglomerative Clustering. The GAN that Warped: Semantic Attribute Editing with Unpaired Data. Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks. Generalized two-dimensional linear discriminant analysis with regularization. Novel Sparse Recovery Algorithm …

Paper Group ANR 688

October 17, 2019

Distilling with Performance Enhanced Students. On the Complexity of Value Iteration. Active Object Reconstruction Using a Guided View Planner. Superconducting Optoelectronic Neurons I: General Principles. An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. Pathwise Derivatives for Multivariate Distributions. Ev …

Paper Group ANR 704

October 17, 2019

Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots. Neural Network Compression using Transform Coding and Clustering. Asynchronous Stochastic Composition Optimization with Variance Reduction. Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization B …

Paper Group ANR 707

October 17, 2019

Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions. A survey of advances in epistemic logic program solvers. Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search. On Learning Markov Chains. Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on t …

Paper Group ANR 728

October 17, 2019

Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. Quantum Machine Learning Tensor Network States. Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels. An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Sample …

Paper Group ANR 746

October 17, 2019

Text to brain: predicting the spatial distribution of neuroimaging observations from text reports. Actor-Critic based Training Framework for Abstractive Summarization. A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification. Distribution Assertive Regression. Deep Learning in the Wild. Unsupervised Sep …

Paper Group ANR 753

October 17, 2019

Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. Security Consideration For Deep Learning-Based Image Forensics. Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures. A Neural Model of Adaptation in Reading. Legible Normativity for AI Alignment: The Value of Silly Rules. Robust Deformati …

Paper Group ANR 754

October 17, 2019

Perturb and Combine to Identify Influential Spreaders in Real-World Networks. Recovery guarantees for polynomial approximation from dependent data with outliers. Object-sensitive Deep Reinforcement Learning. Homocentric Hypersphere Feature Embedding for Person Re-identification. Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. …

Paper Group ANR 761

October 17, 2019

One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing. Verification of Recurrent Neural Networks Through Rule Extraction. An iterative method for classification of binary data. The 30-Year Cycle In The AI Debate. The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. Local Explanation …

Paper Group ANR 765

October 17, 2019

Detecting non-causal artifacts in multivariate linear regression models. Neural Control Variates for Variance Reduction. A predictor-corrector method for the training of deep neural networks. Constrained Policy Improvement for Safe and Efficient Reinforcement Learning. Phonology-Augmented Statistical Framework for Machine Transliteration using Limi …

Paper Group ANR 767

October 17, 2019

The LORACs prior for VAEs: Letting the Trees Speak for the Data. Paragraph-based complex networks: application to document classification and authenticity verification. Statistical Learnability of Generalized Additive Models based on Total Variation Regularization. Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Ca …

Paper Group ANR 771

October 17, 2019

Learning to Reason. Classification Uncertainty of Deep Neural Networks Based on Gradient Information. Goal-oriented Trajectories for Efficient Exploration. Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach. Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model …

Paper Group ANR 773

October 17, 2019

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. Vision-Based Gait Analysis for Senior Care. Impact of Intervals on the Emotional Effect in Western Music. Concise Fuzzy Representation of Big Graphs: a Dimensionality Reduction Approach. Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using …

Paper Group ANR 786

October 17, 2019

Actively Avoiding Nonsense in Generative Models. Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders. Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. Inference in Graded Bayesian Networks. An interpretable multiple kernel learning approach for the discovery of integrative cancer subtype …