2020.8.3 Learning papers

 

07-28-2020

Big Bird: Transformers for Longer Sequences
by Manzil Zaheer et al

07-29-2020

Visual Analysis of Discrimination in Machine Learning
by Qianwen Wang et al

07-30-2020

Contrastive Learning for Unpaired Image-to-Image Translation
by Taesung Park et al

07-29-2020

Generative Classifiers as a Basis for Trustworthy Computer Vision
by Radek Mackowiak et al

07-29-2020

Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
by Milagros Miceli et al

07-30-2020

Rewriting a Deep Generative Model
by David Bau et al

07-29-2020

Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification
by Santiago Toledo-Cortés et al

07-30-2020

Instance Selection for GANs
by Terrance DeVries et al

07-28-2020

Noise-Induced Barren Plateaus in Variational Quantum Algorithms
by Samson Wang et al

07-28-2020

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
by Mehdi Ali et al

07-30-2020

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
by Jinhyeok Yang et al

07-29-2020

The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems
by Krzysztof Kutt et al

07-29-2020

Foveation for Segmentation of Ultra-High Resolution Images
by Chen Jin et al

07-29-2020

Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling
by Hao Hao Tan et al

07-30-2020

DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
by Nandan Kumar Jha et al

07-28-2020

Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge
by Chaoyang He et al

07-30-2020

Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms
by Liangyong Yu et al

07-29-2020

Fast, Structured Clinical Documentation via Contextual Autocomplete
by Divya Gopinath et al

07-30-2020

Hierarchical Action Classification with Network Pruning
by Mahdi Davoodikakhki et al

07-30-2020

Black-box Adversarial Sample Generation Based on Differential Evolution
by Junyu Lin et al

07-29-2020

Dynamic Federated Learning Model for Identifying Adversarial Clients
by Nuria Rodríguez-Barroso et al

07-28-2020

Flower: A Friendly Federated Learning Research Framework
by Daniel J. Beutel et al

07-30-2020

Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks
by Guillermo A. Martínez-Mascorro et al

07-29-2020

dMelodies: A Music Dataset for Disentanglement Learning
by Ashis Pati et al

07-30-2020

When are Neural ODE Solutions Proper ODEs?
by Katharina Ott et al

07-29-2020

Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
by Arjun Roy et al

07-30-2020

Understanding the Stability of Deep Control Policies for Biped Locomotion
by Hwangpil Park et al

07-29-2020

Fully Dynamic Inference with Deep Neural Networks
by Wenhan Xia et al

07-30-2020

Random Forests for dependent data
by Arkajyoti Saha et al

07-30-2020

AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
by Tushar Goswamy et al

07-29-2020

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
by Yiyang Zhang et al

07-28-2020

Monocular Real-Time Volumetric Performance Capture
by Ruilong Li et al

07-28-2020

A Comparison of Optimization Algorithms for Deep Learning
by Derya Soydaner

07-29-2020

Quantitative Understanding of VAE by Interpreting ELBO as Rate Distortion Cost of Transform Coding
by Akira Nakagawa et al

07-28-2020

Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020
by Mert Hidayetoglu et al

07-30-2020

SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
by Jiazhi Xia et al

07-31-2020

A Survey on Concept Factorization: From Shallow to Deep Representation Learning
by Zhao Zhang et al

07-30-2020

Outlier Robust Mean Estimation with Subgaussian Rates via Stability
by Ilias Diakonikolas et al

07-29-2020

The Return of Lexical Dependencies: Neural Lexicalized PCFGs
by Hao Zhu et al

07-29-2020

A regularized deep matrix factorized model of matrix completion for image restoration
by Zhemin Li et al

07-28-2020

Detecting and analysing spontaneous oral cancer speech in the wild
by Bence Mark Halpern et al

07-29-2020

Information-Theoretic Approximation to Causal Models
by Peter Gmeiner

07-28-2020

A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
by Hagit Grushka-Cohen et al

07-29-2020

COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
by Yifan Jiang et al

07-30-2020

Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
by Leo K. Tam et al

07-29-2020

Deriving Differential Target Propagation from Iterating Approximate Inverses
by Yoshua Bengio

07-29-2020

Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics
by Guido Schillaci et al

07-30-2020

The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
by Ilias Diakonikolas et al

07-28-2020

Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training
by Anna-Kathrin Kopetzki et al

07-30-2020

Data-efficient Hindsight Off-policy Option Learning
by Markus Wulfmeier et al

07-30-2020

Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning
by Azusa Sawada et al

07-28-2020

On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
by Xuan Zhang et al

07-28-2020

Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
by Xinzhi Wang et al

07-29-2020

CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
by Syed Afaq Ali Shah et al

07-29-2020

Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
by Lars Hertel et al

07-28-2020

Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance
by Alexander Schperberg et al

07-29-2020

Advancing Visual Specification of Code Requirements for Graphs
by Dewi Yokelson

07-29-2020

Force myography benchmark data for hand gesture recognition and transfer learning
by Thomas Buhl Andersen et al

07-30-2020

OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake
by Philipp V. Rouast et al

07-29-2020

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks
by Tomokaze Shiratori et al

07-31-2020

Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
by Yichen Shen et al

07-29-2020

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
by Guangyin Jin et al

07-28-2020

Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning
by Tianyu Liu

07-28-2020

Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
by Caojin Zhang et al

07-30-2020

Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress
by Weizhe Lin et al

07-28-2020

Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework
by Vishal Kaushal et al

07-30-2020

Finite Versus Infinite Neural Networks: an Empirical Study
by Jaehoon Lee et al

07-28-2020

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
by Zhi Wang et al

07-31-2020

Uncovering the structure of clinical EEG signals with self-supervised learning
by Hubert Banville et al

07-28-2020

Truncated Linear Regression in High Dimensions
by Constantinos Daskalakis et al

07-29-2020

Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers
by Jayaram Raghuram et al

07-31-2020

Feature Learning for Accelerometer based Gait Recognition
by Szilárd Nemes et al

07-28-2020

A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
by Andreas Demetriou et al

07-31-2020

A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
by Linchuan Xu et al

07-29-2020

Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation
by Yunus Bicer et al

07-28-2020

Efficient adaptation of neural network filter for video compression
by Yat-Hong Lam et al

07-28-2020

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
by Masashi Okada et al

07-29-2020

Communication-Efficient Federated Learning via Optimal Client Sampling
by Monica Ribero et al

07-29-2020

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
by Xiaoxiao Li et al

07-31-2020

Self-supervised learning through the eyes of a child
by A. Emin Orhan et al

07-30-2020

Stable Learning via Causality-based Feature Rectification
by Zhengxu Yu et al

07-31-2020

HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization
by Vasco Lopes et al

07-28-2020

A Commentary on the Unsupervised Learning of Disentangled Representations
by Francesco Locatello et al

07-28-2020

Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
by Prashant Pandey et al

07-31-2020

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
by Le Zhang et al

07-30-2020

Generalization Comparison of Deep Neural Networks via Output Sensitivity
by Mahsa Forouzesh et al

07-30-2020

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning
by Mahdi Nazemi et al

07-28-2020

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training
by Shen-Yi Zhao et al

07-30-2020

Growing Efficient Deep Networks by Structured Continuous Sparsification
by Xin Yuan et al

07-29-2020

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
by Xiaohang Fu et al

07-30-2020

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
by Prasoon Goyal et al

07-29-2020

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains
by Yixiao Lan et al

07-28-2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
by Mengyang Zhao et al

07-28-2020

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize
by Jun Shu et al

07-31-2020

Improving NERs Performance with Massive financial corpus
by Han Zhang

07-28-2020

WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform
by Shaolei Liu et al

07-30-2020

Denoising individual bias for a fairer binary submatrix detection
by Changlin Wan et al

07-28-2020

Diagnosing Concept Drift with Visual Analytics
by Weikai Yang et al

07-29-2020

Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods
by Yusuf Yazici

07-31-2020

Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
by Samuel B. Hopkins et al

07-28-2020

Multi-camera Torso Pose Estimation using Graph Neural Networks
by Daniel Rodriguez-Criado et al

07-31-2020

Learning-based Computer-aided Prescription Model for Parkinsons Disease: A Data-driven Perspective
by Yinghuan Shi et al

07-30-2020

Geometric All-Way Boolean Tensor Decomposition
by Changlin Wan et al

07-31-2020

L22C -- Learning to Learn to Compress
by Nannan Zou et al

07-30-2020

Improving Sample Efficiency with Normalized RBF Kernels
by Sebastian Pineda-Arango et al

07-29-2020

Metamodel Based Forward and Inverse Design for Passive Vibration Suppression
by Amir Behjat et al

07-29-2020

Decoding machine learning benchmarks
by Lucas F. F. Cardoso et al

07-29-2020

Approximation Based Variance Reduction for Reparameterization Gradients
by Tomas Geffner et al

07-30-2020

Approximation of Smoothness Classes by Deep ReLU Networks
by Mazen Ali et al

07-29-2020

Online Convex Optimization with Classical and Quantum Evaluation Oracles
by Jianhao He et al

07-30-2020

Efficient Tensor Decomposition
by Aravindan Vijayaraghavan

07-28-2020

Distributionally Robust Losses for Latent Covariate Mixtures
by John Duchi et al

07-30-2020

Deep learning for lithological classification of carbonate rock micro-CT images
by Carlos E. M. dos Anjos et al

07-30-2020

A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks
by Yi Zeng et al

07-29-2020

On the Use of Interpretable Machine Learning for the Management of Data Quality
by Anna Karanika et al

07-29-2020

Video compression with low complexity CNN-based spatial resolution adaptation
by Di Ma et al

07-30-2020

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
by Cristina Garbacea et al

07-30-2020

Evolving Context-Aware Recommender Systems With Users in Mind
by Amit Livne et al

07-28-2020

Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
by Jirong Yi et al

07-31-2020

Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems
by Taisuke Kobayashi

07-30-2020

Fairness-Aware Online Personalization
by G Roshan Lal et al

07-28-2020

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)
by Jingjing Wang et al

07-28-2020

Label-Only Membership Inference Attacks
by Christopher A. Choquette Choo et al

07-28-2020

Unsupervised Learning of Particle Image Velocimetry
by Mingrui Zhang et al

07-31-2020

Paying Per-label Attention for Multi-label Extraction from Radiology Reports
by Patrick Schrempf et al

07-30-2020

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
by Yu Gu et al

07-29-2020

Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures
by Yuka Hashimoto et al

07-31-2020

Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
by Junxiong Yu et al

07-28-2020

Tempered Sigmoid Activations for Deep Learning with Differential Privacy
by Nicolas Papernot et al

07-30-2020

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
by Yoshitomo Matsubara et al

07-31-2020

An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
by Brian Kenji Iwana et al

07-30-2020

On the Nature and Types of Anomalies: A Review
by Ralph Foorthuis

07-28-2020

An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems
by Hyeong Soo Chang

07-30-2020

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
by Ren Wang et al

07-29-2020

Supervised Neural Networks for RFI Flagging
by Kyle Harrison et al

07-28-2020

Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
by Anatol Maier et al

07-28-2020

Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
by Xiaoyu Zhang et al

07-31-2020

Robust Benchmarking for Machine Learning of Clinical Entity Extraction
by Monica Agrawal et al

07-31-2020

Neural Style Transfer for Remote Sensing
by Maria Karatzoglidi et al

07-29-2020

Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
by Sebastian Bruch et al

07-28-2020

When and why PINNs fail to train: A neural tangent kernel perspective
by Sifan Wang et al

07-30-2020

Language Modelling for Source Code with Transformer-XL
by Thomas Dowdell et al

07-28-2020

On the Quantum versus Classical Learnability of Discrete Distributions
by Ryan Sweke et al

07-28-2020

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
by Gabriele Farina et al

07-28-2020

Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations
by Sashank Tirumala et al

07-29-2020

SAFER: Sparse secure Aggregation for FEderated leaRning
by Constance Beguier et al

07-29-2020

Unnormalized Variational Bayes
by Saeed Saremi

07-29-2020

Connecting actuarial judgment to probabilistic learning techniques with graph theory
by Roland R. Ramsahai

07-28-2020

Modeling Behaviour to Predict User State: Self-Reports as Ground Truth
by Julian Frommel et al

07-28-2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph
by Yuexiang Xie et al

07-30-2020

A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings
by Xuechen Liu et al

07-31-2020

The Kolmogorov-Arnold representation theorem revisited
by Johannes Schmidt-Hieber

07-28-2020

Universal Approximation with Neural Intensity Point Processes
by Alexander Soen et al

07-31-2020

TEAM: We Need More Powerful Adversarial Examples for DNNs
by Yaguan Qian et al

07-30-2020

New approach to MPI program execution time prediction
by A. Chupakhin et al

07-31-2020

Deep Direct Likelihood Knockoffs
by Mukund Sudarshan et al

07-28-2020

BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models
by Martin Fajcik et al

07-30-2020

Bilevel Continual Learning
by Quang Pham et al

07-30-2020

Momentum Q-learning with Finite-Sample Convergence Guarantee
by Bowen Weng et al

07-30-2020

Neural Language Generation: Formulation, Methods, and Evaluation
by Cristina Garbacea et al

07-28-2020

Siamese x-vector reconstruction for domain adapted speaker recognition
by Shai Rozenberg et al

07-29-2020

Ergodicity of the underdamped mean-field Langevin dynamics
by Anna Kazeykina et al

07-31-2020

COLD: Towards the Next Generation of Pre-Ranking System
by Zhe Wang et al

07-30-2020

Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction
by Maxime Petit et al

07-29-2020

Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
by Giulia Luise et al

07-31-2020

Quantum One-class Classification With a Distance-based Classifier
by Nicolas M. de Oliveira et al

07-29-2020

Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data
by Kai Steverson et al

07-28-2020

Munchausen Reinforcement Learning
by Nino Vieillard et al

07-28-2020

TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning
by Seongjin Choi et al

07-29-2020

End-to-End Adversarial White Box Attacks on Music Instrument Classification
by Katharina Prinz et al

07-30-2020

A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals
by Xuan Dong et al

07-29-2020

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
by J. Emmanuel Johnson et al

07-30-2020

Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
by Harold Erbin et al

07-30-2020

On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics
by Weinan E et al

07-30-2020

A PAC algorithm in relative precision for bandit problem with costly sampling
by Marie Billaud-Friess et al

07-29-2020

Learning Output Embeddings in Structured Prediction
by Luc Brogat-Motte et al

07-29-2020

PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
by Nihad Karim Chowdhury et al

07-31-2020

Diet deep generative audio models with structured lottery
by Philippe Esling et al

07-31-2020

Learning Forward Reuse Distance
by Pengcheng Li et al

07-29-2020

Theory of gating in recurrent neural networks
by Kamesh Krishnamurthy et al

07-30-2020

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
by Boris N. Oreshkin et al

07-31-2020

Imitative Planning using Conditional Normalizing Flow
by Shubhankar Agarwal et al

07-28-2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization
by Zhuoyi Lin et al

07-29-2020

An early warning tool for predicting mortality risk of COVID-19 patients using machine learning
by Muhammad E. H. Chowdhury et al

07-28-2020

Team Deep Mixture of Experts for Distributed Power Control
by Matteo Zecchin et al

07-31-2020

Improved Time Warp Edit Distance -- A Parallel Dynamic Program in Linear Memory
by Garrett Wright

07-29-2020

Low Dimensional State Representation Learning with Reward-shaped Priors
by Nicolò Botteghi et al

07-30-2020

Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents
by Pablo Barros et al

07-30-2020

Regional Rainfall Prediction Using Support Vector Machine Classification of Large-Scale Precipitation Maps
by Eslam A. Hussein et al

07-31-2020

node2coords: Graph Representation Learning with Wasserstein Barycenters
by Effrosyni Simou et al

07-31-2020

Graph signal processing for machine learning: A review and new perspectives
by Xiaowen Dong et al

07-31-2020

Predicting heave and surge motions of a semi-submersible with neural networks
by Xiaoxian Guo et al

07-30-2020

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
by Lichao Sun et al

07-28-2020

Theory of Deep Convolutional Neural Networks II: Spherical Analysis
by Zhiying Fang et al

07-30-2020

Detecting Distrust Towards the Skills of a Virtual Assistant Using Speech
by Leonardo Pepino et al

07-29-2020

Learning Transferable Push Manipulation Skills in Novel Contexts
by Rhys Howard et al

07-30-2020

Unidentified Floating Object detection in maritime environment using dictionary learning
by Darshan Venkatrayappa et al

07-29-2020

Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
by Tianming Wang et al

07-30-2020

Hearing What You Cannot See: Acoustic Detection Around Corners
by Yannick Schulz et al

07-28-2020

A High Probability Analysis of Adaptive SGD with Momentum
by Xiaoyu Li et al

07-30-2020

Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models
by Fadhel Ayed et al

07-30-2020

Label-Leaks: Membership Inference Attack with Label
by Zheng Li et al

07-29-2020

Compressing Deep Neural Networks via Layer Fusion
by James O' Neill et al

07-30-2020

Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
by Mert Al et al

07-31-2020

Ultra-light deep MIR by trimming lottery tickets
by Philippe Esling et al

07-28-2020

Multi-Output Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment
by A. F. López-Lopera et al

07-28-2020

A Hybrid Approach to Audio-to-Score Alignment
by Ruchit Agrawal et al

07-30-2020

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
by Zuxin Liu et al

07-31-2020

The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
by Aniek F. Markus et al

07-28-2020

Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms
by Linwei Hu et al

07-29-2020

Almost exact recovery in noisy semi-supervised learning
by Konstantin Avrachenkov et al

07-31-2020

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
by Syed Hasib Akhter Faruqui et al

07-28-2020

CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray
by A. Q. M. Sazzad Sayyed et al

07-28-2020

Deep frequency principle towards understanding why deeper learning is faster
by Zhi-Qin John Xu et al

07-31-2020

Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs
by Xing Li et al

07-30-2020

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
by Li Yang et al

07-30-2020

Low-rank Tensor Bandits
by Botao Hao et al

07-29-2020

Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
by Usman Mahmood et al

07-28-2020

Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation
by Or Yair et al

07-30-2020

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry
by Aziz Kocanaogullari et al

07-28-2020

Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example
by Nanzhe Wanga et al

07-28-2020

Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
by Wentai Wu et al

07-30-2020

G-CREWE: Graph CompREssion With Embedding for Network Alignment
by Kyle K. Qin et al

07-30-2020

Accuracy and stability of solar variable selection comparison under complicated dependence structures
by Ning Xu

07-30-2020

Rademacher upper bounds for cross-validation errors with an application to the lasso
by Ning Xu et al

07-29-2020

Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Predication of Business Process Models
by Farbod Taymouri et al

07-28-2020

GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
by Zhuoyi Lin et al

07-28-2020

Improving Recurrent Neural Network Responsiveness to Acute Clinical Events
by David Ledbetter et al

07-28-2020

Visualizing classification results
by Jakob Raymaekers et al

07-30-2020

PR-NN: RNN-based Detection for Coded Partial-Response Channels
by Simeng Zheng et al

07-30-2020

Beyond HH-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
by Changjian Shui et al

07-29-2020

Fibonacci and k-Subsecting Recursive Feature Elimination
by Dariusz Brzezinski

07-31-2020

Solving inverse problems using conditional invertible neural networks
by Govinda Anantha Padmanabha et al

07-31-2020

Sequential Drift Detection in Deep Learning Classifiers
by Samuel Ackerman et al

07-30-2020

Random Vector Functional Link Networks for Function Approximation on Manifolds
by Deanna Needell et al

07-30-2020

From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data
by Wen-Ping Tsai et al

07-28-2020

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
by Shailesh Tripathi et al

07-28-2020

An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
by Akhil Nagariya et al

07-31-2020

Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
by Brian Kim et al

07-30-2020

AARSynth: App-Aware Response Synthesis for User Reviews
by Umar Farooq et al

07-31-2020

Embedding Ranking-Oriented Recommender System Graphs
by Taher Hekmatfar et al

07-30-2020

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