Information Retrieval

Paper Group ANR 823

January 28, 2020

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content. ProLFA: Representative Prototype Selection for Local Feature Aggregation. JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to …

Paper Group ANR 827

January 28, 2020

Towards Generalizing Sensorimotor Control Across Weather Conditions. Proximal Reliability Optimization for Reinforcement Learning. Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution. Kernel density estimation based sampli …

Paper Group ANR 829

January 28, 2020

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning. Equivariant Hamiltonian Flows. Proceedings of FACTS-IR 2019. Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders. ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard. Gated Recurrent Neural Network …

Paper Group ANR 841

January 28, 2020

Toward Metrics for Differentiating Out-of-Distribution Sets. Broad-Coverage Semantic Parsing as Transduction. Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings. Cross-Entropy Adversarial View Adaptation for Person Re-identification. A novel model for query expansion using pseudo-relevant web knowledge. Disentang …

Paper Group ANR 849

January 28, 2020

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. A Method for Identifying Origin of Digital Images Using a Convolution Neural Network. A frame semantic overview of NLP-based information extraction for cancer-related EHR notes. Remaining Useful Lif …

Paper Group ANR 870

January 28, 2020

Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. Unwanted Advances in Higher Education: Uncovering Sexual Harassment Experiences in Academia with Text Mining. Training Deep Neura …

Paper Group ANR 884

January 28, 2020

Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs. On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. Federated Reinforcement Distillation with Proxy Experience Memory. Coarse-to-fine Optimization for Speech Enhancement. Ontology of Card Sleights. MLSys: The New Frontier of Machine Learning Systems. Con …

Paper Group ANR 896

January 28, 2020

FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. Gradient Perturbation is Underrated for Differentially Private Convex Optimization. Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. Eavesdrop the Composition Proportion of Training Labels in Federated Learning. Contamin …

Paper Group ANR 951

January 28, 2020

Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques. Generating Justifications for Norm-Related Agent Decisions. Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless N …

Paper Group ANR 952

January 28, 2020

Backprop Diffusion is Biologically Plausible. Real-time Multiple People Hand Localization in 4D Point Clouds. DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback. A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. Quantum Latent Semantic Analysis. Parity Models: A General Fra …

Paper Group ANR 979

January 28, 2020

Contextual Bandits Evolving Over Finite Time. Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. Making Neural Machine Reading Comprehension Faster. Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs. Machine Reading Comprehension for Answer Re-Ranking i …

Paper Group ANR 984

January 28, 2020

Analysis of a Two-Layer Neural Network via Displacement Convexity. Look, Read and Enrich. Learning from Scientific Figures and their Captions. Fine-grained Optimization of Deep Neural Networks. New Radon Transform Based Texture Features of Handwritten Document. A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off. AllenN …

Paper Group ANR 1071

January 27, 2020

Vocal Interactivity in Crowds, Flocks and Swarms: Implications for Voice User Interfaces. SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata. Change Detection in Noisy Dynamic Networks: A Spectral Embedding Approach. Revisiting Adversarial A …

Paper Group ANR 1114

January 27, 2020

Complexity-entropy analysis at different levels of organization in written language. Quantum algorithms for Second-Order Cone Programming and Support Vector Machines. Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. Evaluating Bregman Divergences for Probability Learning from Crowd. Mono3D …

Paper Group ANR 1117

January 27, 2020

Cross Domain Image Matching in Presence of Outliers. Measuring Dataset Granularity. Resolvable Designs for Speeding up Distributed Computing. Representing and Using Knowledge with the Contextual Evaluation Model. Forecasting Stock Market with Support Vector Regression and Butterfly Optimization Algorithm. Learning sparsity in reservoir computing th …

Paper Group ANR 1120

January 27, 2020

A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll a Concentration of Several Inland Waters. Food for thought: Ethical considerations of user trust in computer vision. Learning from M …

Paper Group ANR 1121

January 27, 2020

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. Crowd Counting on Images with Scale Variation and Isolated Clusters. Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper. SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images. Aug …

Paper Group ANR 1139

January 27, 2020

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. Performanc …

Paper Group ANR 1147

January 27, 2020

Realistic Channel Models Pre-training. Neural Topographic Factor Analysis for fMRI Data. Position-Aware Convolutional Networks for Traffic Prediction. Adversarial Examples with Difficult Common Words for Paraphrase Identification. HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images. Automatic detectio …

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 1190

January 27, 2020

LED2Net: Deep Illumination-aware Dehazing with Low-light and Detail Enhancement. Deep Scale-spaces: Equivariance Over Scale. Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets. A Distraction Score for Watermarks. Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. Proceedings 7th …

Paper Group ANR 1205

January 27, 2020

Consistent Cross-view Matching for Unsupervised Person Re-identification. Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. Dynamic Network Embeddings for Network Evolution Analysis. Minimax bounds for structured prediction. Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy. …

Paper Group ANR 1235

January 27, 2020

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. Business Process Variant Analysis based on Mutual Fingerprints of Event Logs. How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint. SoftGAN: Learning generative models efficiently with application to CycleGAN Voice …

Paper Group ANR 1236

January 27, 2020

Paper Group ANR 1241

January 27, 2020

Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings. Real-world Conversational AI for Hotel Bookings. Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Descrip …

Paper Group ANR 1252

January 27, 2020

Speeding up Deep Learning with Transient Servers. ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. A Scalable Handwritten Text Recognition System. On the Hardness of Robust Classification. Evaluating Generative Models Using Divergence Frontiers. SMP Challenge: An Overview of Social Media Prediction Challenge …

Paper Group ANR 1273

January 27, 2020

Experimental Study on CTL model checking using Machine Learning. SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints. Mitigating Noisy Inputs for Question Answering. Architecture Search of Dynamic Cells for Semantic Video Segme …

Paper Group ANR 1294

January 27, 2020

Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. Generative Restricted Kernel Machines. Latent Retrieval for Weakly Supervised Open Domain Question Answering. Sequential Latent Spaces for Modeling the …