2021.5.3 Learning papers

 

04-28-2021

A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
by Andrew Patterson et al

04-29-2021

Online certification of preference-based fairness for personalized recommender systems
by Virginie Do et al

04-27-2021

Detection of Signal in the Spiked Rectangular Models
by Ji Hyung Jung et al

04-29-2021

End-to-End Speech Recognition from Federated Acoustic Models
by Yan Gao et al

04-29-2021

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
by Markus Freitag et al

04-30-2021

Memory-Efficient Deep Learning Inference in Trusted Execution Environments
by Jean-Baptiste Truong et al

04-28-2021

Machine Learning based System for Vessel Turnaround Time Prediction
by Dejan Stepec et al

04-30-2021

Latent Factor Decomposition Model: Applications for Questionnaire Data
by Connor J. McLaughlin et al

04-28-2021

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
by Michael R. Zhang et al

04-29-2021

Search Algorithms for Automated Hyper-Parameter Tuning
by Leila Zahedi et al

04-29-2021

SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
by Toufique Ahmed et al

04-29-2021

Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
by Doseok Jang et al

04-29-2021

Analytical bounds on the local Lipschitz constants of ReLU networks
by Trevor Avant et al

04-28-2021

Simplified Kalman filter for online rating: one-fits-all approach
by Leszek Szczecinski et al

04-28-2021

Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations
by Anthony Gruber et al

04-29-2021

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
by Tian Tong et al

04-28-2021

Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
by Dejan Stepec et al

04-27-2021

An optical neural network using less than 1 photon per multiplication
by Tianyu Wang et al

04-28-2021

Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System
by Pritam Majumder et al

04-27-2021

A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
by Tegg Taekyong Sung et al

04-27-2021

Efficient channel charting via phase-insensitive distance computation
by Luc Le Magoarou

04-27-2021

Robust Classification via Support Vector Machines
by Vali Asimit et al

04-27-2021

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
by Innfarn Yoo et al

04-28-2021

Information Interaction Profile of Choice Adoption
by Gaël Poux-Médard et al

04-29-2021

Constructions in combinatorics via neural networks
by Adam Zsolt Wagner

04-30-2021

Post-training deep neural network pruning via layer-wise calibration
by Ivan Lazarevich et al

04-29-2021

Meta-learning using privileged information for dynamics
by Ben Day et al

04-27-2021

The Role of General Intelligence in Mathematical Reasoning
by Aviv Keren

04-29-2021

RECKONition: a NLP-based system for Industrial Accidents at Work Prevention
by Patrizia Agnello et al

04-28-2021

Causes of Effects: Learning individual responses from population data
by Scott Mueller et al

04-29-2021

ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals
by Arman Iranfar et al

04-28-2021

Learning deep autoregressive models for hierarchical data
by Carl R. Andersson et al

04-28-2021

Connecting AI Learning and Blockchain Mining in 6G Systems
by Yunkai Wei et al

04-28-2021

Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics
by Jordan Cambe et al

04-29-2021

Adapting to Reward Progressivity via Spectral Reinforcement Learning
by Michael Dann et al

04-27-2021

Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
by Yaodong Yu et al

04-28-2021

Optimal Stopping via Randomized Neural Networks
by Calypso Herrera et al

04-30-2021

Black-box adversarial attacks using Evolution Strategies
by Hao Qiu et al

04-30-2021

Event-driven timeseries analysis and the comparison of public reactions on COVID-19
by Md. Khayrul Bashar

04-27-2021

Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients
by Bozhidar Vasilev et al

04-30-2021

Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
by Zahra Gharaee

04-29-2021

An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
by Cyrus Cousins

04-30-2021

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
by Junhua Chen et al

04-27-2021

FrameExit: Conditional Early Exiting for Efficient Video Recognition
by Amir Ghodrati et al

04-27-2021

Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
by Dimos Makris et al

04-28-2021

Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations
by Trevor Ablett et al

04-29-2021

A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression
by Michael Götte et al

04-28-2021

Symbolic Abstractions From Data: A PAC Learning Approach
by Alex Devonport et al

04-29-2021

Maximum Entropy Inverse Reinforcement Learning for Mean Field Games
by Yang Chen et al

04-27-2021

Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
by Yanjun Zhang et al

04-28-2021

Twins: Revisiting Spatial Attention Design in Vision Transformers
by Xiangxiang Chu et al

04-28-2021

Analyzing the Nuances of Transformers Polynomial Simplification Abilities
by Vishesh Agarwal et al

04-27-2021

SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
by Grgur Kovač et al

04-29-2021

Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer
by Panyanat Aonpong et al

04-29-2021

What Are Bayesian Neural Network Posteriors Really Like?
by Pavel Izmailov et al

04-27-2021

End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks
by Rodrigo Mira et al

04-29-2021

Optimal training of variational quantum algorithms without barren plateaus
by Tobias Haug et al

04-29-2021

Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra
by Daniel Hesslow et al

04-27-2021

Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
by Franco Pellegrini et al

04-29-2021

What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
by Safa Alver et al

04-27-2021

The Hessian Screening Rule
by Johan Larsson et al

04-27-2021

Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data
by Madeleine Kotzagiannidis et al

04-28-2021

Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory (2)(2)
by Ki-Hong Shin et al

04-27-2021

Do Feature Attribution Methods Correctly Attribute Features?
by Yilun Zhou et al

04-29-2021

Heterogeneous electronic medical record representation for similarity computing
by Hoda Memarzadeh et al

04-28-2021

End-to-End Approach for Recognition of Historical Digit Strings
by Mengqiao Zhao et al

04-29-2021

ELF-VC: Efficient Learned Flexible-Rate Video Coding
by Oren Rippel et al

04-27-2021

Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology
by Prachi Loliencar et al

04-28-2021

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
by Sebastian G. Popescu et al

04-28-2021

A Study of the Mathematics of Deep Learning
by Anirbit Mukherjee

04-27-2021

Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding
by Jose M. Peña

04-28-2021

A Reinforcement Learning Environment for Polyhedral Optimizations
by Alexander Brauckmann et al

04-27-2021

Unsupervised Deep Manifold Attributed Graph Embedding
by Zelin Zang et al

04-30-2021

Ranking the information content of distance measures
by Aldo Glielmo et al

04-27-2021

Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image
by Shiba Kuanar et al

04-27-2021

AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
by Woosung Choi et al

04-30-2021

PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
by Yuncong Yu et al

04-27-2021

A unified framework for Hamiltonian deep neural networks
by Clara L. Galimberti et al

04-29-2021

Learning in Feedforward Neural Networks Accelerated by Transfer Entropy
by Adrian Moldovan et al

04-29-2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
by Sebastian Houben et al

04-29-2021

TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition
by Umar Khan et al

04-30-2021

Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
by Simen Eide et al

04-30-2021

Divide-and-conquer based Large-Scale Spectral Clustering
by Hongmin Li et al

04-29-2021

Differentiable model-based adaptive optics for two-photon microscopy
by Ivan Vishniakou et al

04-29-2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
by Jianfei Chen et al

04-29-2021

Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling
by Siyu Gu et al

04-29-2021

Selecting the Points for Training using Graph Centrality
by Sandeep CR et al

04-28-2021

Deep Learning Body Region Classification of MRI and CT examinations
by Philippe Raffy et al

04-28-2021

Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications
by Gurpreet Singh et al

04-27-2021

Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques
by Grzegorz Chrupała

04-28-2021

MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
by Zafiirah Hosenie et al

04-27-2021

Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization
by Shivam Handa et al

04-28-2021

Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control
by Fengjun Yang et al

04-28-2021

Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
by Amena Khatun et al

04-27-2021

Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version
by Gary M. Weiss et al

04-29-2021

From Distributed Machine Learning to Federated Learning: A Survey
by Ji Liu et al

04-27-2021

An Energy-Based View of Graph Neural Networks
by John Y. Shin et al

04-27-2021

Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Models Complexity
by Mathias P. M. Parisot et al

04-27-2021

Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
by Han-Chin Shing et al

04-29-2021

Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
by Chen-Hao Chao et al

04-27-2021

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
by Zawar Hussain et al

04-30-2021

Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
by Haoxi Zhan et al

04-27-2021

Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
by Seunghyun Lee et al

04-30-2021

Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
by Jean-Raphaël Gaglione et al

04-29-2021

InsertionNet -- A Scalable Solution for Insertion
by Oren Spector et al

04-30-2021

Federated Learning with Fair Averaging
by Zheng Wang et al

04-29-2021

Hypernetwork Dismantling via Deep Reinforcement Learning
by Dengcheng Yan et al

04-27-2021

Learning low bending and low distortion manifold embeddings
by Juliane Braunsmann et al

04-28-2021

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
by Ali Ramezani-Kebrya et al

04-27-2021

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)
by Xingfu Wu et al

04-29-2021

An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease
by Abbas Raza Ali et al

04-28-2021

The Evolution of Rumors on a Closed Platform during COVID-19
by Andrea W Wang et al

04-29-2021

Regret Bounds for Gaussian-Process Optimization in Large Domains
by Manuel Wüthrich et al

04-30-2021

Studying the Consistency and Composability of Lottery Ticket Pruning Masks
by Rajiv Movva et al

04-30-2021

Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks
by Hanyang Liu et al

04-30-2021

StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
by Hyunsu Kim et al

04-28-2021

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
by Mahmoud Assran et al

04-27-2021

Explaining in Style: Training a GAN to explain a classifier in StyleSpace
by Oran Lang et al

04-27-2021

SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
by Elvis Nunez et al

04-28-2021

Finding High-Value Training Data Subset through Differentiable Convex Programming
by Soumi Das et al

04-28-2021

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity
by Yangfan Zhou et al

04-29-2021

Generalization Guarantees for Neural Architecture Search with Train-Validation Split
by Samet Oymak et al

04-28-2021

Diversity-Aware Batch Active Learning for Dependency Parsing
by Tianze Shi et al

04-27-2021

Text Generation with Deep Variational GAN
by Mahmoud Hossam et al

04-28-2021

A comparative study of neural network techniques for automatic software vulnerability detection
by Gaigai Tang et al

04-27-2021

UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
by Tobias Skovgaard Jepsen et al

04-29-2021

Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy
by Yongzhen Wang et al

04-30-2021

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
by Truc Nguyen et al

04-28-2021

Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
by Navid Rekabsaz et al

04-30-2021

On In-network learning. A Comparative Study with Federated and Split Learning
by Matei Moldoveanu et al

04-29-2021

Fast Convex Quadratic Optimization Solvers with Adaptive Sketching-based Preconditioners
by Jonathan Lacotte et al

04-29-2021

Human strategic decision making in parametrized games
by Sam Ganzfried

04-29-2021

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
by Indro Spinelli et al

04-28-2021

SMLSOM: The shrinking maximum likelihood self-organizing map
by Ryosuke Motegi et al

04-28-2021

Personalized Keyphrase Detection using Speaker and Environment Information
by Rajeev Rikhye et al

04-27-2021

Detection of Fake Users in SMPs Using NLP and Graph Embeddings
by Manojit Chakraborty et al

04-27-2021

Graph Neural Networks for Traffic Forecasting
by João Rico et al

04-29-2021

Hand Gesture Recognition Based on a Nonconvex Regularization
by Jing Qin et al

04-28-2021

Deep Domain Generalization with Feature-norm Network
by Mohammad Mahfujur Rahman et al

04-30-2021

BERT Meets Relational DB: Contextual Representations of Relational Databases
by Siddhant Arora et al

04-30-2021

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
by Fuxian Li et al

04-30-2021

Learning for Detecting Norm Violation in Online Communities
by Thiago Freitas dos Santos et al

04-30-2021

Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning
by Ramzi Ourari et al

04-27-2021

Improved and Efficient Text Adversarial Attacks using Target Information
by Mahmoud Hossam et al

04-29-2021

Fine-grained Generalization Analysis of Vector-valued Learning
by Liang Wu et al

04-30-2021

Continuous black-box optimization with quantum annealing and random subspace coding
by Syun Izawa et al

04-28-2021

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
by Christos Kyrkou et al

04-28-2021

Reward (Mis)design for Autonomous Driving
by W. Bradley Knox et al

04-27-2021

Multi-view Deep One-class Classification: A Systematic Exploration
by Siqi Wang et al

04-27-2021

Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
by Wenwen Min et al

04-28-2021

Pose-driven Attention-guided Image Generation for Person Re-Identification
by Amena Khatun et al

04-28-2021

Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
by Krzysztof Maziarz et al

04-27-2021

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
by Michael M. Bronstein et al

04-30-2021

Explanation-Based Human Debugging of NLP Models: A Survey
by Piyawat Lertvittayakumjorn et al

04-27-2021

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
by Le Wu et al

04-30-2021

Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
by Peng-Fei Zhou et al

04-30-2021

TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation
by Junghyuk Lee et al

04-27-2021

Early Classification of Time Series is Meaningful
by Youssef Achenchabe et al

04-28-2021

Algorithmic Factors Influencing Bias in Machine Learning
by William Blanzeisky et al

04-28-2021

Discovery of slow variables in a class of multiscale stochastic systems via neural networks
by Przemyslaw Zielinski et al

04-30-2021

Active WeaSuL: Improving Weak Supervision with Active Learning
by Samantha Biegel et al

04-27-2021

Adaptive Adversarial Training for Meta Reinforcement Learning
by Shiqi Chen et al

04-28-2021

Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods
by Nooshin Ayoobi et al

04-28-2021

Feasibility-based Fixed Point Networks
by Howard Heaton et al

04-28-2021

End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
by Alessandro Paolo Capasso et al

04-28-2021

Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
by Zhuoyun Li et al

04-28-2021

MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
by Minjin Choi et al

04-27-2021

Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
by Kai-Hung Chang et al

04-28-2021

Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
by Mohammad Mahfujur Rahman et al

04-28-2021

Sum-of-norms clustering does not separate nearby balls
by Alexander Dunlap et al

04-30-2021

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
by Xinyu Chen et al

04-29-2021

Graph-Embedded Subspace Support Vector Data Description
by Fahad Sohrab et al

04-29-2021

Generalized Linear Models with Structured Sparsity Estimators
by Mehmet Caner

04-30-2021

Improved Matrix Gaussian Mechanism for Differential Privacy
by Jungang Yang et al

04-30-2021

Deep learning neural networks for the third-order nonlinear Schrodinger equation: Solitons, breathers, and rogue waves
by Zijian Zhou et al

04-29-2021

A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection
by Matteo Zecchin et al

04-29-2021

Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending
by Pola Lydia Lagari et al

04-28-2021

Analysis of Legal Documents via Non-negative Matrix Factorization Methods
by Ryan Budahazy et al

04-29-2021

Cluster-driven Graph Federated Learning over Multiple Domains
by Debora Caldarola et al

04-29-2021

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph
by Xiao-Yun Zhou et al

04-29-2021

AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
by Xiaoyu Wen et al

04-29-2021

The Logic of Graph Neural Networks
by Martin Grohe

04-27-2021

Network Embedding via Deep Prediction Model
by Xin Sun et al

04-27-2021

One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
by Chaosheng Dong et al

04-30-2021

A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture Models
by Lena Sembach et al

04-27-2021

Initializing LSTM internal states via manifold learning
by Felix P. Kemeth et al

04-30-2021

Determining Chess Game State From an Image
by Georg Wölflein et al

04-28-2021

PyTorch Tabular: A Framework for Deep Learning with Tabular Data
by Manu Joseph

04-27-2021

Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution
by Nemanja Rakicevic et al

04-29-2021

Stable Online Control of Linear Time-Varying Systems
by Guannan Qu et al

04-30-2021

Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
by Penny Tarling et al

04-29-2021

Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses
by Wenqiang Pu et al

04-27-2021

Discovering nonlinear resonances through physics-informed machine learning
by G. D. Barmparis et al

04-29-2021

You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features
by Tianxiang Zhao et al

04-29-2021

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
by Fan Mo et al

04-29-2021

Privacy-Preserving Federated Learning on Partitioned Attributes
by Shuang Zhang et al

04-29-2021

Pre-training of Deep RL Agents for Improved Learning under Domain Randomization
by Artemij Amiranashvili et al

04-27-2021

Towards Fair Federated Learning with Zero-Shot Data Augmentation
by Weituo Hao et al

04-29-2021

Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
by Pongpisit Thanasutives et al

04-28-2021

Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
by Gabriel F. Barros et al

04-30-2021

Faster Meta Update Strategy for Noise-Robust Deep Learning
by Youjiang Xu et al

04-29-2021

Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
by Krittika D'Silva et al

04-27-2021

A Dual Process Model for Optimizing Cross Entropy in Neural Networks
by Stefan Jaeger

04-28-2021

Universal Consistency of Decision Trees for High Dimensional Additive Models
by Jason M. Klusowski

04-30-2021

Forming Ensembles at Runtime: A Machine Learning Approach
by Tomáš Bureš et al

04-30-2021

A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
by Anna Jenul et al

04-30-2021

On Stochastic Moving-Average Estimators for Non-Convex Optimization
by Zhishuai Guo et al

04-28-2021

Reconstructing nodal pressures in water distribution systems with graph neural networks
by Gergely Hajgató et al

04-27-2021

Predicting traffic signals on transportation networks using spatio-temporal correlations on graphs
by Semin Kwak et al

04-27-2021

Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
by Md Tahmid Rahman Laskar et al

04-27-2021

Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
by Kashob Kumar Roy et al

04-30-2021

Interpretability of Epidemiological Models : The Curse of Non-Identifiability
by Ayush Deva et al

04-29-2021

MongeNet: Efficient Sampler for Geometric Deep Learning
by Léo Lebrat et al

04-29-2021

Ensembling with Deep Generative Views
by Lucy Chai et al

04-28-2021

Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information
by Aaron Fisher

04-29-2021

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
by Christoph Feichtenhofer et al

04-27-2021

MULTIMODAL ANALYSIS: Informed content estimation and audio source separation
by Gabriel Meseguer-Brocal

04-29-2021

Flattening Multiparameter Hierarchical Clustering Functors
by Dan Shiebler

04-27-2021

Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
by Kashob Kumar Roy et al

04-28-2021

Deep Neural Network as an alternative to Boosted Decision Trees for PID
by Denis Stanev et al

04-28-2021

Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks
by Sohei Itahara et al

04-28-2021

Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
by Yuan Cao et al

04-28-2021

MLDemon: Deployment Monitoring for Machine Learning Systems
by Antonio Ginart et al

04-28-2021

Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses
by Alessandro Salatiello et al

04-28-2021

Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
by Paul Viallard et al

04-28-2021

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
by Jie Chen et al

04-29-2021

Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers
by Hrishikesh Dutta et al

04-29-2021

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications
by Anjana Deva Prasad et al

04-29-2021

Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines
by Frederieke Richert et al

04-30-2021

Degenerate Gaussian factors for probabilistic inference
by J. C. Schoeman et al

04-30-2021

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A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
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A neural anisotropic view of underspecification in deep learning
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On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning
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A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
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ModelGuard: Runtime Validation of Lipschitz-continuous Models
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Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
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Meta-evaluation of Conversational Search Evaluation Metrics
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VIRDOC: Statistical and Machine Learning by a VIRtual DOCtor to Predict Dengue Fatality
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Multi-class Text Classification using BERT-based Active Learning
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MUSE: Multi-faceted Attention for Signed Network Embedding
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Multi-Fair Pareto Boosting
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Weighed ℓ1ℓ1 on the simplex: Compressive sensing meets locality
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SpikE: spike-based embeddings for multi-relational graph data
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Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
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Statistical Inference with M-Estimators on Bandit Data
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Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation
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A Human-Centered Interpretability Framework Based on Weight of Evidence
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Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era
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Craig Smith