data science

Paper Group ANR 10

Paper Group ANR 10

April 3, 2020

Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach. Ballooning Multi-Armed Bandits. Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning. Addressing the Memory Bottleneck in AI Model Training. Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. F …
Paper Group ANR 13

Paper Group ANR 13

April 3, 2020

Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods. Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection. From Fourier to Koopman: Spec …
Paper Group ANR 4

Paper Group ANR 4

April 3, 2020

Action Quality Assessment using Siamese Network-Based Deep Metric Learning. Machines Learn Appearance Bias in Face Recognition. Kinetic Theory for Residual Neural Networks. Understanding the Power and Limitations of Teaching with Imperfect Knowledge. Local intrinsic dimensionality estimators based on concentration of measure. On Coresets for Suppor …
Paper Group ANR 41

Paper Group ANR 41

April 3, 2020

Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System. Improved Robust ASR for Social Robots in Public Spaces. How Good is the Bayes Posterior in Deep Neural Networks Really?. A Better Variant of Self-Critical Sequence Training. A Lobster-inspired Robotic Glove for Hand Rehabilitation. On the Resilien …
Paper Group ANR 44

Paper Group ANR 44

April 3, 2020

Deep Learning Approach to Diabetic Retinopathy Detection. Conditional Channel Gated Networks for Task-Aware Continual Learning. An Empirical Study of Person Re-Identification with Attributes. Safety-Aware Hardening of 3D Object Detection Neural Network Systems. Convergence of a Stochastic Gradient Method with Momentum for Nonsmooth Nonconvex Optimi …
Paper Group ANR 54

Paper Group ANR 54

April 3, 2020

Unique Properties of Wide Minima in Deep Networks. The Big Three: A Methodology to Increase Data Science ROI by Answering the Questions Companies Care About. Learning Flat Latent Manifolds with VAEs. Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method. Recovering Geometric Information with Learned Texture Perturbations …
Paper Group ANR 58

Paper Group ANR 58

April 3, 2020

PIC: Permutation Invariant Convolution for Recognizing Long-range Activities. Games Where You Can Play Optimally with Finite Memory. Complete Dictionary Learning via $\ell_p$-norm Maximization. Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). Distal Explanations for Explainable Reinfor …
Paper Group AWR 10

Paper Group AWR 10

April 3, 2020

High-Dimensional Feature Selection for Genomic Datasets. Localized Flow-Based Clustering in Hypergraphs. Train Scheduling with Hybrid Answer Set Programming. Regression via Implicit Models and Optimal Transport Cost Minimization. Context Based Emotion Recognition using EMOTIC Dataset. Decentralized Learning for Channel Allocation in IoT Networks ov …
Paper Group AWR 21

Paper Group AWR 21

April 3, 2020

Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. Counter-example Guided Learning of Bounds on Environment Behavior. Multi-Level Representation Learning for Deep Subspace Clustering. Co-occurrence of deep convolutional featu …
Paper Group AWR 26

Paper Group AWR 26

April 3, 2020

Complexity Guarantees for Polyak Steps with Momentum. Supervised Learning on Relational Databases with Graph Neural Networks. Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. Synthesizing human-like sketches from natural images using a conditional convolutional decoder. TaskNorm: Rethinking Batch …
Paper Group AWR 27

Paper Group AWR 27

April 3, 2020

Discrete Action On-Policy Learning with Action-Value Critic. TAdam: A Robust Stochastic Gradient Optimizer. Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images. To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. Negative Margin Matters: Understanding Margin in Few-shot Classification. …
Paper Group ANR 104

Paper Group ANR 104

April 2, 2020

VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images. Preventing Imitation Learning with Adversarial Policy Ensembles. Ethics in the digital era. Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. Topologically Densified Distributions. Optimization of Graph Total Variation via …
Paper Group ANR 113

Paper Group ANR 113

April 2, 2020

Generalized Bayesian Filtering via Sequential Monte Carlo. Robust Wireless Fingerprinting: Generalizing Across Space and Time. On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. Rapidly Adaptable Legged Robots via Evolutio …
Paper Group ANR 131

Paper Group ANR 131

April 2, 2020

FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks. Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks. Optimizing Revenue while showing Relevant Assortments at Scale. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. Differential Dynamic Programming Neural Optimizer. Ill …
Paper Group ANR 142

Paper Group ANR 142

April 2, 2020

Structures of Spurious Local Minima in $k$-means. On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment. HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. Attentive Item2Vec: Neural Attentive User Representatio …
Paper Group ANR 155

Paper Group ANR 155

April 2, 2020

Foreground model recognition through Neural Networks for CMB B-mode observations. Exploring User Opinions of Fairness in Recommender Systems. Fair Correlation Clustering. Constrained Upper Confidence Reinforcement Learning. Learning Diverse Fashion Collocation by Neural Graph Filtering. Prior Knowledge Driven Label Embedding for Slot Filling in Nat …
Paper Group ANR 159

Paper Group ANR 159

April 2, 2020

Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. Quantifying the relationship between student enrollment patterns and student performance. Demographic Bias in Biometrics: A Survey on an Emerging Challenge. A Time Series Approach To Player Churn and Conversion in Videogames. RN-VID: A Feature Fusion Architecture for …
Paper Group ANR 164

Paper Group ANR 164

April 2, 2020

Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions. Optimal HDR and Depth from Dual Cameras. Video Face Super-Resolution with Motion-Adaptive Feedback Cell. Semi-supervised Learning via Conditional Rotation Angle Estimation. De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Pred …
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 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 237

Paper Group ANR 237

April 2, 2020

An interpretable neural network model through piecewise linear approximation. A Maximum Likelihood Approach to Speed Estimation of Foreground Objects in Video Signals. Learning to Optimize Non-Rigid Tracking. Designing for the Long Tail of Machine Learning. Solving Area Coverage Problem with UAVs: A Vehicle Routing with Time Windows Variation. Deep …
Paper Group ANR 286

Paper Group ANR 286

April 2, 2020

DuDoNet++: Encoding mask projection to reduce CT metal artifacts. Saliency Enhancement using Gradient Domain Edges Merging. DNN-based Localization from Channel Estimates: Feature Design and Experimental Results. Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting. Learning to simulate and design for structura …
Paper Group ANR 318

Paper Group ANR 318

April 2, 2020

Limits of Detecting Text Generated by Large-Scale Language Models. Multimodal Matching Transformer for Live Commenting. Exploiting Database Management Systems and Treewidth for Counting. Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control. Citation Text Generation. Ten Research Challenge Areas i …
Paper Group ANR 345

Paper Group ANR 345

April 2, 2020

Detecting Mismatch between Text Script and Voice-over Using Utterance Verification Based on Phoneme Recognition Ranking. A review of machine learning applications in wildfire science and management. Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. Bayesian nonparametric shared multi-sequence time series segme …
Paper Group ANR 346

Paper Group ANR 346

April 2, 2020

Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. Tropical Support Vector Machine and its Applications to Phylogenomics. Leverage the Average: an Analysis of Regularization in RL. Improve SGD Training via Aligning Mini-batches. Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks …
Paper Group ANR 365

Paper Group ANR 365

April 2, 2020

Determination of Latent Dimensionality in International Trade Flow. Jelly Bean World: A Testbed for Never-Ending Learning. Bringing freedom in variable choice when searching counter-examples in floating point programs. Using AI for Mitigating the Impact of Network Delay in Cloud-based Intelligent Traffic Signal Control. Deceiving Image-to-Image Tra …
Paper Group ANR 409

Paper Group ANR 409

April 1, 2020

Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions. Machine Translation System Selection from Bandit Feedback. Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces. Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solita …
Paper Group ANR 414

Paper Group ANR 414

April 1, 2020

On Geometry of Information Flow for Causal Inference. A Survey on Causal Inference. The Counterfactual $χ$-GAN. Vamsa: Tracking Provenance in Data Science Scripts. Night-time Semantic Segmentation with a Large Real Dataset. Tensorized Random Projections. Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?. Adver …