2021.6.7 Learning papers

 

06-02-2021

Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback
by J. Walker Orr et al

06-04-2021

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
by Ji-Hoon Kim et al

06-03-2021

Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
by X. Y. Han et al

06-03-2021

Solving Schr\odinger Bridges via Maximum Likelihood
by Francisco Vargas et al

06-03-2021

Self-supervised Dialogue Learning for Spoken Conversational Question Answering
by Nuo Chen et al

06-01-2021

Tight Accounting in the Shuffle Model of Differential Privacy
by Antti Koskela et al

06-01-2021

Analysis of classifiers robust to noisy labels
by Alex Díaz et al

06-01-2021

H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
by He Yang

06-02-2021

Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach
by Myoung Hoon Lee et al

06-01-2021

Decision Concept Lattice vs. Decision Trees and Random Forests
by Egor Dudyrev et al

06-04-2021

PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
by Marco Mondelli et al

06-03-2021

Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis
by Neslihan Bayramoglu et al

06-03-2021

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
by Shuang Zeng et al

06-01-2021

Asymptotics of representation learning in finite Bayesian neural networks
by Jacob A. Zavatone-Veth et al

06-01-2021

A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT
by Babatunji Omoniwa et al

06-04-2021

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
by Timm Hess et al

06-04-2021

A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning
by Şükrü Ozan et al

06-04-2021

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
by James Mullenbach et al

06-01-2021

Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations
by Arghya Datta et al

06-01-2021

On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
by Divyansh Kaushik et al

06-03-2021

A Discussion On the Validity of Manifold Learning
by Dai Shi et al

06-02-2021

Rectangular Flows for Manifold Learning
by Anthony L. Caterini et al

06-02-2021

Decision Transformer: Reinforcement Learning via Sequence Modeling
by Lili Chen et al

06-02-2021

Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
by Conor F. Hayes et al

06-04-2021

Hallucination In Object Detection -- A Study In Visual Part Verification
by Osman Semih Kayhan et al

06-02-2021

Single-component gradient rules for variational quantum algorithms
by Thomas Hubregtsen et al

06-02-2021

DNA-GCN: Graph convolutional networks for predicting DNA-protein binding
by Yuhang Guo et al

06-02-2021

Undecidability of Learnability
by Matthias C. Caro

06-04-2021

Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
by Rowan Hall Maudslay et al

06-02-2021

Smooth Bilevel Programming for Sparse Regularization
by Clarice Poon et al

06-03-2021

Hierarchical Representation Learning for Markov Decision Processes
by Lorenzo Steccanella et al

06-01-2021

Efficient Explanations With Relevant Sets
by Yacine Izza et al

06-01-2021

The zoo of Fairness metrics in Machine Learning
by Alessandro Castelnovo et al

06-04-2021

Active Covering
by Heinrich Jiang et al

06-03-2021

Sleeping Combinatorial Bandits
by Kumar Abhishek et al

06-01-2021

A unified PAC-Bayesian framework for machine unlearning via information risk minimization
by Sharu Theresa Jose et al

06-02-2021

Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling
by Chao Zhang et al

06-01-2021

Learning Representations for Sub-Symbolic Reasoning
by Giuseppe Marra et al

06-03-2021

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation
by Ho Hin Lee et al

06-03-2021

Auto-tagging of Short Conversational Sentences using Transformer Methods
by D. Emre Taşar et al

06-03-2021

Drivers Manoeuvre Modelling and Prediction for Safe HRI
by Erwin Jose Lopez Pulgarin et al

06-03-2021

Advances in Classifying the Stages of Diabetic Retinopathy Using Convolutional Neural Networks in Low Memory Edge Devices
by Aditya Jyoti Paul

06-03-2021

Semi-Empirical Objective Functions for MCMC Proposal Optimization
by Chris Cannella et al

06-04-2021

Multitask Online Mirror Descent
by Nicolò Cesa-Bianchi et al

06-04-2021

Online reinforcement learning with sparse rewards through an active inference capsule
by Alejandro Daniel Noel et al

06-04-2021

A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage
by Mathilde D. Badoual et al

06-04-2021

DOCTOR: A Simple Method for Detecting Misclassification Errors
by Federica Granese et al

06-01-2021

Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning
by Martin G. Frasch et al

06-03-2021

Exploring Memorization in Adversarial Training
by Yinpeng Dong et al

06-03-2021

Grounding Complex Navigational Instructions Using Scene Graphs
by Michiel de Jong et al

06-01-2021

Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
by Tavor Z. Baharav et al

06-01-2021

Large-Scale Wasserstein Gradient Flows
by Petr Mokrov et al

06-03-2021

Shape-Preserving Dimensionality Reduction : An Algorithm and Measures of Topological Equivalence
by Byeongsu Yu et al

06-01-2021

Adversarial Defense for Automatic Speaker Verification by Self-Supervised Learning
by Haibin Wu et al

06-02-2021

Question Answering Over Temporal Knowledge Graphs
by Apoorv Saxena et al

06-02-2021

Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework
by Taisuke Kobayashi

06-02-2021

On Efficiently Explaining Graph-Based Classifiers
by Xuanxiang Huang et al

06-03-2021

The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models
by Ulme Wennberg et al

06-03-2021

Robust Reference-based Super-Resolution via C2-Matching
by Yuming Jiang et al

06-01-2021

Diffusion Schr\odinger Bridge with Applications to Score-Based Generative Modeling
by Valentin De Bortoli et al

06-04-2021

An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
by Emna Baccour et al

06-02-2021

Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
by Matthew A. Wright et al

06-01-2021

Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects
by Tasbolat Taunyazov et al

06-02-2021

DeepCompress: Efficient Point Cloud Geometry Compression
by Ryan Killea et al

06-02-2021

Online and Real-Time Tracking in a Surveillance Scenario
by Oliver Urbann et al

06-03-2021

Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
by Aurélien Bibaut et al

06-04-2021

Nara: Learning Network-Aware Resource Allocation Algorithms for Cloud Data Centres
by Zacharaya Shabka et al

06-03-2021

Unsupervised Learning of General-Purpose Embeddings for Code Changes
by Mikhail Pravilov et al

06-03-2021

Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout
by Pengfei Xie et al

06-03-2021

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
by Chun-Hao Chang et al

06-01-2021

Part of Speech and Universal Dependency effects on English Arabic Machine Translation
by Ofek Rafaeli et al

06-03-2021

Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19
by Vishrawas Gopalakrishnan et al

06-04-2021

Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex
by Keitaro Tanaka et al

06-03-2021

Robust Learning via Persistency of Excitation
by Kaustubh Sridhar et al

06-03-2021

Analysis of the robustness of NMF algorithms
by Alex Díaz et al

06-02-2021

Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
by Sahaana Suri et al

06-04-2021

Local Adaptivity in Federated Learning: Convergence and Consistency
by Jianyu Wang et al

06-01-2021

An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task
by Sina Ghiassian et al

06-01-2021

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
by Rishabh Joshi et al

06-02-2021

An Extendible, Graph-Neural-Network-Based Approach for Accurate Force Field Development of Large Flexible Organic Molecules
by Xufei Wang et al

06-02-2021

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms
by Yunqi Wang et al

06-01-2021

Some Ethical Issues in the Review Process of Machine Learning Conferences
by Alessio Russo

06-03-2021

Fingerprinting Fine-tuned Language Models in the Wild
by Nirav Diwan et al

06-01-2021

OpenBox: A Generalized Black-box Optimization Service
by Yang Li et al

06-02-2021

Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime
by Matthew Li et al

06-03-2021

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
by Peiyu Liu et al

06-01-2021

On using distributed representations of source code for the detection of C security vulnerabilities
by David Coimbra et al

06-03-2021

Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation
by Nuttapong Attrapadung et al

06-04-2021

Graph-based Deep Learning for Communication Networks: A Survey
by Weiwei Jiang

06-01-2021

Locally Valid and Discriminative Confidence Intervals for Deep Learning Models
by Zhen Lin et al

06-04-2021

Robustifying Reinforcement Learning Policies with L1L1 Adaptive Control
by Yikun Cheng et al

06-03-2021

Continual Learning in Deep Networks: an Analysis of the Last Layer
by Timothée Lesort et al

06-04-2021

Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
by Tal Lancewicki et al

06-04-2021

Entity Concept-enhanced Few-shot Relation Extraction
by Shan Yang et al

06-01-2021

Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
by Nik Dennler et al

06-01-2021

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
by Sana Tonekaboni et al

06-01-2021

Is good old GRAPPA dead?
by Zaccharie Ramzi et al

06-02-2021

A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes
by Honghao Wei et al

06-02-2021

Learning a Single Neuron with Bias Using Gradient Descent
by Gal Vardi et al

06-01-2021

Invariant Policy Learning: A Causal Perspective
by Sorawit Saengkyongam et al

06-02-2021

Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
by Jongwook Choi et al

06-01-2021

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
by Zaccharie Ramzi et al

06-03-2021

Noisy student-teacher training for robust keyword spotting
by Hyun-Jin Park et al

06-01-2021

Experiments with graph convolutional networks for solving the vertex pp-center problem
by Elisabeth Gaar et al

06-01-2021

More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring
by Yu Zhang et al

06-03-2021

Machine Learning and Variational Algorithms for Lattice Field Theory
by Gurtej Kanwar

06-01-2021

Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL
by Bogdan Mazoure et al

06-01-2021

Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding
by Rick Fritschek et al

06-02-2021

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients
by Yingtao Luo et al

06-03-2021

Lifetime policy reuse and the importance of task capacity
by David M. Bossens et al

06-01-2021

Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
by Anindita Maiti et al

06-02-2021

Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach
by Suejb Memeti et al

06-01-2021

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
by Liangliang Shi et al

06-03-2021

Bandit Phase Retrieval
by Tor Lattimore et al

06-03-2021

The Earth Movers Pinball Loss: Quantiles for Histogram-Valued Regression
by Florian List

06-03-2021

Towards Equal Gender Representation in the Annotations of Toxic Language Detection
by Elizabeth Excell et al

06-01-2021

Learn to Predict Equilibria via Fixed Point Networks
by Howard Heaton et al

06-01-2021

A Differentiable Point Process with Its Application to Spiking Neural Networks
by Hiroshi Kajino

06-01-2021

The Generalized Mean Densest Subgraph Problem
by Nate Veldt et al

06-01-2021

Pricing Algorithmic Insurance
by Dimitris Bertsimas et al

06-04-2021

Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
by Lewis Smith et al

06-03-2021

Discovery of Causal Additive Models in the Presence of Unobserved Variables
by Takashi Nicholas Maeda et al

06-03-2021

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals
by Ju Sun et al

06-04-2021

Graph Barlow Twins: A self-supervised representation learning framework for graphs
by Piotr Bielak et al

06-03-2021

Gradient Boosted Binary Histogram Ensemble for Large-scale Regression
by Hanyuan Hang et al

06-03-2021

Gaussian Processes on Hypergraphs
by Thomas Pinder et al

06-03-2021

ProtoRes: Proto-Residual Architecture for Deep Modeling of Human Pose
by Boris N. Oreshkin et al

06-03-2021

Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
by Stefanos Leonardos et al

06-02-2021

FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
by Yiqiang Chen et al

06-01-2021

Concurrent Adversarial Learning for Large-Batch Training
by Yong Liu et al

06-01-2021

Semi-Supervised Domain Generalization with Stochastic StyleMatch
by Kaiyang Zhou et al

06-01-2021

NewsEmbed: Modeling News through Pre-trained DocumentRepresentations
by Jialu Liu et al

06-01-2021

Learning Football Body-Orientation as a Matter of Classification
by Adrià Arbués-Sangüesa et al

06-04-2021

F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
by Shin'ya Yamaguchi et al

06-01-2021

What Can I Do Here? Learning New Skills by Imagining Visual Affordances
by Alexander Khazatsky et al

06-03-2021

A Normative Model of Classifier Fusion
by Susanne Trick et al

06-03-2021

LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
by Aaron J. Snoswell et al

06-03-2021

Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions
by Ying Lu et al

06-02-2021

Hybrid Ensemble optimized algorithm based on Genetic Programming for imbalanced data classification
by Maliheh Roknizadeh et al

06-04-2021

SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
by Soroosh Shahtalebi et al

06-01-2021

Exposing Previously Undetectable Faults in Deep Neural Networks
by Isaac Dunn et al

06-01-2021

Information Theoretic Measures for Fairness-aware Feature Selection
by Sajad Khodadadian et al

06-02-2021

Online Coreset Selection for Rehearsal-based Continual Learning
by Jaehong Yoon et al

06-04-2021

Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation
by Yingtao Tian et al

06-04-2021

Visual Question Rewriting for Increasing Response Rate
by Jiayi Wei et al

06-03-2021

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
by Mathias Niepert et al

06-03-2021

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
by Chenghao Li et al

06-03-2021

Top-kk Regularization for Supervised Feature Selection
by Xinxing Wu et al

06-02-2021

Gradient Assisted Learning
by Enmao Diao et al

06-02-2021

Parallelizing Thompson Sampling
by Amin Karbasi et al

06-02-2021

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations
by Henry Kvinge et al

06-01-2021

Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process
by Vedant Bhandari et al

06-03-2021

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
by Mingde Zhao et al

06-03-2021

Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices
by Abhishek Ramdas Nair et al

06-03-2021

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
by Alexander Korotin et al

06-01-2021

Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks
by Friedrich Bethke et al

06-03-2021

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
by Yulun Wu et al

06-03-2021

Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
by Bogdan Mazoure et al

06-03-2021

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
by Xue Yang et al

06-03-2021

An Improved Model for Voicing Silent Speech
by David Gaddy et al

06-01-2021

Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
by Eric Bunch et al

06-02-2021

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
by Gowthami Somepalli et al

06-02-2021

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
by Yichen Jiang et al

06-03-2021

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
by Roberto Vega et al

06-04-2021

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
by Vincent Sitzmann et al

06-03-2021

Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization
by Luo Luo et al

06-04-2021

Deep Contextual Learners for Protein Networks
by Michelle M. Li et al

06-01-2021

Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models
by Steve Kommrusch et al

06-04-2021

Temporally coherent video anonymization through GAN inpainting
by Thangapavithraa Balaji et al

06-04-2021

Deep Switching State Space Model (DS33M) for Nonlinear Time Series Forecasting with Regime Switching
by Xiuqin Xu et al

06-01-2021

Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals
by Peter Hase et al

06-01-2021

Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment
by Piyush K. Sharma et al

06-02-2021

Statistical optimality conditions for compressive ensembles
by Henry W. J. Reeve et al

06-03-2021

Fuzzy Clustering with Similarity Queries
by Wasim Huleihel et al

06-01-2021

MalPhase: Fine-Grained Malware Detection Using Network Flow Data
by Michal Piskozub et al

06-02-2021

When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations
by Xiangning Chen et al

06-02-2021

Luna: Linear Unified Nested Attention
by Xuezhe Ma et al

06-03-2021

The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
by Akram Aldroubi et al

06-02-2021

Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour
by Xihan Bian et al

06-04-2021

Tractable Regularization of Probabilistic Circuits
by Anji Liu et al

06-02-2021

Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
by Gautam Kamath et al

06-02-2021

Multiresolution Graph Variational Autoencoder
by Truong Son Hy et al

06-04-2021

Learning Slice-Aware Representations with Mixture of Attentions
by Cheng Wang et al

06-03-2021

A Dataset and Baselines for Multilingual Reply Suggestion
by Mozhi Zhang et al

06-03-2021

Fairness-Aware Unsupervised Feature Selection
by Xiaoying Xing et al

06-03-2021

Cross-Network Learning with Partially Aligned Graph Convolutional Networks
by Meng Jiang

06-01-2021

Markov Localisation using Heatmap Regression and Deep Convolutional Odometry
by Oscar Mendez et al

06-03-2021

Optimization Variance: Exploring Generalization Properties of DNNs
by Xiao Zhang et al

06-04-2021

How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
by Namiko Saito et al

06-04-2021

Teaching keyword spotters to spot new keywords with limited examples
by Abhijeet Awasthi et al

06-01-2021

To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
by Elvio G. Amparore et al

06-01-2021

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
by Bahar Taskesen et al

06-02-2021

Towards Deeper Deep Reinforcement Learning
by Johan Bjorck et al

06-01-2021

Latent Space Refinement for Deep Generative Models
by Ramon Winterhalder et al

06-01-2021

QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
by Maxime Vono et al

06-03-2021

Stochastic Iterative Graph Matching
by Linfeng Liu et al

06-04-2021

CAFLOW: Conditional Autoregressive Flows
by Georgios Batzolis et al

06-03-2021

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by Ruohan Zhan et al

06-03-2021

Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey
by Benyamin Ghojogh et al

06-01-2021

Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models
by Biagio La Rosa et al

06-04-2021

FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
by Sung Kuk Shyn et al

06-03-2021

Graph Intervention Networks for Causal Effect Estimation
by Jean Kaddour et al

06-01-2021

Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
by David Alvarez-Melis et al

06-01-2021

Independent Prototype Propagation for Zero-Shot Compositionality
by Frank Ruis et al

06-01-2021

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
by Yabin Zhang et al

06-02-2021

Framing RNN as a kernel method: A neural ODE approach
by Adeline Fermanian et al

06-01-2021

Post-Contextual-Bandit Inference
by Aurélien Bibaut et al

06-01-2021

Improving Conditional Coverage via Orthogonal Quantile Regression
by Shai Feldman et al

06-04-2021

Out-of-Distribution Generalization in Kernel Regression
by Abdulkadir Canatar et al

06-04-2021

Event Classification with Multi-step Machine Learning
by Masahiko Saito et al

06-04-2021

Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition
by Zhong Meng et al

06-01-2021

Student Performance Prediction Using Dynamic Neural Models
by Marina Delianidi et al

06-04-2021

Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
by Zeyuan Allen-Zhu et al

06-01-2021

Transformation Models for Flexible Posteriors in Variational Bayes
by Sefan Hörtling et al

06-03-2021

Nonlinear Matrix Approximation with Radial Basis Function Components
by Elizaveta Rebrova et al

06-04-2021

Distributional Sliced Embedding Discrepancy for Incomparable Distributions
by Mokhtar Z. Alaya et al

06-03-2021

EmoDNN: Understanding emotions from short texts through a deep neural network ensemble
by Sara Kamran et al

06-01-2021

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
by Zhiliang Wu et al

06-01-2021

Improving Compositionality of Neural Networks by Decoding Representations to Inputs
by Mike Wu et al

06-01-2021

A survey of machine learning-based physics event generation
by Yasir Alanazi et al

06-03-2021

Semi-supervised Conditional Density Estimation for Imputation and Classification of Incomplete Instances
by Buliao Huang

06-03-2021

Privately Learning Mixtures of Axis-Aligned Gaussians
by Ishaq Aden-Ali et al

06-03-2021

Homological Time Series Analysis of Sensor Signals from Power Plants
by Luciano Melodia et al

06-02-2021

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes
by Ji Won Park et al

06-02-2021

BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks
by Yannik Keller et al

06-04-2021

Regularization and Reparameterization Avoid Vanishing Gradients in Sigmoid-Type Networks
by Leni Ven et al

06-02-2021

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data
by Kourosh Hakhamaneshi et al

06-02-2021

Unsupervised Out-of-Domain Detection via Pre-trained Transformers
by Keyang Xu et al

06-02-2021

Dual Script E2E framework for Multilingual and Code-Switching ASR
by Mari Ganesh Kumar et al

06-03-2021

A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks
by Jacob M. Springer et al

06-03-2021

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
by Yongming Rao et al

06-03-2021

Sample Selection Bias in Evaluation of Prediction Performance of Causal Models
by James P. Long et al

06-01-2021

Wireless Federated Learning with Limited Communication and Differential Privacy
by Amir Sonee et al

06-02-2021

NeRP: Neural Rearrangement Planning for Unknown Objects
by Ahmed H. Qureshi et al

06-03-2021

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels
by Florian Dubost et al

06-02-2021

Few-Shot Partial-Label Learning
by Yunfeng Zhao et al

06-01-2021

Data-Driven Shadowgraph Simulation of a 3D Object
by Anna Willmann et al

06-01-2021

Whats a good imputation to predict with missing values?
by Marine Le Morvan et al

06-04-2021

Transferable and Distributed User Association Policies for 5G and Beyond Networks
by Mohamed Sana et al

06-02-2021

Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
by Stephan Thaler et al

06-03-2021

Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans
by Akihiro Fukuda et al

06-02-2021

MNL-Bandit with Knapsacks
by Abdellah Aznag et al

06-02-2021

Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
by Benoit Dufumier et al

06-03-2021

Anticipative Video Transformer
by Rohit Girdhar et al

06-04-2021

Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?
by Aleksandar Miladinović et al

06-03-2021

Convergent Graph Solvers
by Junyoung Park et al

06-03-2021

Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
by Olivier Sprangers et al

06-02-2021

Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
by Rohan Giriraj et al

06-04-2021

Strategyproof Learning: Building Trustworthy User-Generated Datasets
by Sadegh Farhadkhani et al

06-03-2021

Materials Representation and Transfer Learning for Multi-Property Prediction
by Shufeng Kong et al

06-03-2021

Fluctuation-dissipation Type Theorem in Stochastic Linear Learning
by Manhyung Han et al

06-03-2021

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning
by Yingjie Miao et al

06-03-2021

ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation
by Kaushal Kumar Maurya et al

06-03-2021

Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia
by Jiao Sun et al

06-03-2021

Counterfactual Graph Learning for Link Prediction
by Tong Zhao et al

06-03-2021

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation
by Saurabhchand Bhati et al

06-01-2021

Minimax Regret for Bandit Convex Optimisation of Ridge Functions
by Tor Lattimore

06-04-2021

Debiasing a First-order Heuristic for Approximate Bi-level Optimization
by Valerii Likhosherstov et al

06-02-2021

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
by Jieyu Zhao et al

06-02-2021

Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal
by Kamil Akhmetov

06-04-2021

ViViT: Curvature access through the generalized Gauss-Newtons low-rank structure
by Felix Dangel et al

06-01-2021

Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
by Mohammadreza Armandpour et al

06-01-2021

Partial Wasserstein Covering
by Keisuke Kawano et al

06-01-2021

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks
by Antonello Rosato et al

06-02-2021

End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net
by Tuan-Anh Nguyen Dang et al

06-04-2021

Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model
by Tristan Gomez et al

06-02-2021

A Generalizable Approach to Learning Optimizers
by Diogo Almeida et al

06-04-2021

Evaluation of Local Model-Agnostic Explanations Using Ground Truth
by Amir Hossein Akhavan Rahnama et al

06-03-2021

Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
by Changhee Han

06-03-2021

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
by Federico Paredes-Vallés et al

06-01-2021

Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees
by Jason Bernard et al

06-02-2021

Matrix factorisation and the interpretation of geodesic distance
by Nick Whiteley et al

06-01-2021

Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution
by Cansu Korkmaz et al

06-04-2021

Quantum Perceptron Revisited: Computational-Statistical Tradeoffs
by Mathieu Roget et al

06-02-2021

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
by Meyer Scetbon et al

06-02-2021

Opening the Black Box of Deep Neural Networks in Physical Layer Communication
by Jun Liu et al

06-02-2021

Connections and Equivalences between the Nystr\om Method and Sparse Variational Gaussian Processes
by Veit Wild et al

06-01-2021

COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
by Tawsifur Rahman et al

06-02-2021

Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
by Nicolas Vecoven et al

06-02-2021

Addressing the Long-term Impact of ML Decisions via Policy Regret
by David Lindner et al

06-04-2021

AI Driven Road Maintenance Inspection
by Ratnajit Mukherjee et al

06-02-2021

The Limitations of Limited Context for Constituency Parsing
by Yuchen Li et al

06-03-2021

A Systematic Investigation of KB-Text Embedding Alignment at Scale
by Vardaan Pahuja et al

06-02-2021

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning
by Chengchun Shi et al

06-03-2021

Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism
by Mingyi Liu et al

06-03-2021

JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
by Hao Liu et al

06-04-2021

Beyond Target Networks: Improving Deep QQ-learning with Functional Regularization
by Alexandre Piché et al

06-01-2021

Gaussian Processes with Differential Privacy
by Antti Honkela

06-04-2021

Be Considerate: Objectives, Side Effects, and Deciding How to Act
by Parand Alizadeh Alamdari et al

06-02-2021

Testing Group Fairness via Optimal Transport Projections
by Nian Si et al

06-04-2021

Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
by Stephan Wojtowytsch

06-04-2021

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
by Jannik Kossen et al

06-03-2021

DeepOpt: Scalable Specification-based Falsification of Neural Networks using Black-Box Optimization
by Fabian Bauer-Marquart et al

06-03-2021

You Never Cluster Alone
by Yuming Shen et al

06-04-2021

Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes
by Elvis Dohmatob

06-03-2021

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control
by Lingjie Liu et al

06-04-2021

Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning
by Farris Nicholas et al

06-03-2021

LyricJam: A system for generating lyrics for live instrumental music
by Olga Vechtomova et al

06-04-2021

Adiabatic Quantum Feature Selection for Sparse Linear Regression
by Surya Sai Teja Desu et al

06-02-2021

Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
by Pierre Gutierrez et al

06-02-2021

Deep learning-based multi-output quantile forecasting of PV generation
by Jonathan Dumas et al

06-03-2021

A Survey on Optimal Transport for Machine Learning: Theory and Applications
by Luis Caicedo Torres et al

06-02-2021

Learning to Rehearse in Long Sequence Memorization
by Zhu Zhang et al

06-01-2021

Reward is enough for convex MDPs
by Tom Zahavy et al

06-04-2021

COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
by Ilia Kamyshev et al

06-02-2021

Design and Comparison of Reward Functions in Reinforcement Learning for Energy Management of Sensor Nodes
by Yohann Rioual et al

06-04-2021

Fair Exploration via Axiomatic Bargaining
by Jackie Baek et al

06-02-2021

Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
by Leslie O'Bray et al

06-04-2021

Intelligent Transportation Systems to Mitigate Road Traffic Congestion
by Nizar Hamadeh et al

06-01-2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
by Katharina Morik et al

06-01-2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
by Deepanway Ghosal et al

06-04-2021

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
by Youming Tao et al

06-01-2021

Fair Clustering Using Antidote Data
by Anshuman Chhabra et al

06-03-2021

Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology
by Elva Luz Crespo Neira et al

06-03-2021

Finding and Fixing Spurious Patterns with Explanations
by Gregory Plumb et al

06-02-2021

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
by Aditya Kusupati et al

06-02-2021

Weakly Supervised Learning Creates a Fusion of Modeling Cultures
by Chengliang Tang et al

06-04-2021

Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements
by Michael D. Vander Wal et al

06-02-2021

Minimax Optimization with Smooth Algorithmic Adversaries
by Tanner Fiez et al

06-02-2021

Not All Knowledge Is Created Equal
by Ziyun Li et al

06-02-2021

Normalizing Flows for Knockoff-free Controlled Feature Selection
by Derek Hansen et al

06-03-2021

Reinforcement Learning as One Big Sequence Modeling Problem
by Michael Janner et al

06-03-2021

Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment
by Cheng Yang et al

06-02-2021

Influence Estimation and Maximization via Neural Mean-Field Dynamics
by Shushan He et al

06-04-2021

Learning Hard Optimization Problems: A Data Generation Perspective
by James Kotary et al

06-04-2021

Principled change point detection via representation learning
by Evgenia Romanenkova et al

06-03-2021

Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation
by Anusua Trivedi et al

06-04-2021

Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
by Robert-Florian Samoilescu et al

06-02-2021

On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
by Jiawei Huang et al

06-02-2021

Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
by Mounssif Krouka et al

06-01-2021

Robustifying Algorithms of Learning Latent Trees with Vector Variables
by Fengzhuo Zhang et al

06-02-2021

Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation
by Mounssif Krouka et al

06-03-2021

Machine learning models for DOTA 2 outcomes prediction
by Kodirjon Akhmedov et al

06-04-2021

Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems
by Thorben Frank et al

06-01-2021

Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
by Aymen Hamrouni et al

06-03-2021

Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement Prediction
by Kunal Bhardwaj

06-03-2021

Partial Graph Reasoning for Neural Network Regularization
by Tiange Xiang et al

06-03-2021

MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories
by Giulio Isacchini et al

06-04-2021

A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations
by Chaofan Chen et al

06-02-2021

A Privacy-Preserving and Trustable Multi-agent Learning Framework
by Anudit Nagar et al

06-02-2021

Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy
by Michel Pohl et al

06-01-2021

Instance Correction for Learning with Open-set Noisy Labels
by Xiaobo Xia et al

06-02-2021

Improvement over Pinball Loss Support Vector Machine
by Pritam Anand et al

06-04-2021

Inferring Granger Causality from Irregularly Sampled Time Series
by Song Wei et al

06-04-2021

Contracting Neural-Newton Solver
by Samuel Chevalier et al

06-01-2021

A Non-commutative Extension of Lee-Seungs Algorithm for Positive Semidefinite Factorizations
by Yong Sheng Soh et al

06-02-2021

Evidence-based Factual Error Correction
by James Thorne et al

06-04-2021

Neural Architecture Search via Bregman Iterations
by Leon Bungert et al

06-02-2021

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop
by Jong-Chyi Su et al

06-04-2021

Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
by Zhang Zhaoyang et al

06-02-2021

SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients
by Enmao Diao et al

06-01-2021

What Matters for Adversarial Imitation Learning?
by Manu Orsini et al

06-04-2021

Provably Strict Generalisation Benefit for Invariance in Kernel Methods
by Bryn Elesedy

06-03-2021

A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
by Anand Kalvit et al

06-02-2021

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain
by Christine Herlihy et al

06-02-2021

IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making
by Piyush K. Sharma et al

06-03-2021

Statistical embedding: Beyond principal components
by Dag Tjøstheim et al

06-01-2021

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
by Changnan Xiao et al

06-02-2021

Spectral embedding for dynamic networks with stability guarantees
by Ian Gallagher et al

06-01-2021

Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals
by Jiri Navratil et al

06-04-2021

MERLOT: Multimodal Neural Script Knowledge Models
by Rowan Zellers et al

06-03-2021

Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
by Ali Taghibakhshi et al

06-03-2021

Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of childrens mindreading ability
by Venelin Kovatchev et al

06-01-2021

Post-mortem on a deep learning contest: a Simpsons paradox and the complementary roles of scale metrics versus shape metrics
by Charles H. Martin et al

06-01-2021

Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
by Wanqi Xue et al

06-03-2021

Cybersecurity Information Exchange with Privacy (CYBEX-P) and TAHOE -- A Cyberthreat Language
by Farhan Sadique et al

06-02-2021

Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
by Xingyu Zhao et al

06-02-2021

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
by Alain Durmus et al

06-02-2021

Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels
by Paul Resnick et al

06-04-2021

Disentangling Dense Multi-Cable Knots
by Vainavi Viswanath et al

06-04-2021

Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
by Jinjie Zhang et al

06-01-2021

Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
by Xiaobo Xia et al

06-01-2021

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
by Andi Han et al

06-04-2021

Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
by Nelson Vadori et al

06-01-2021

AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
by Martin Genzel et al

06-04-2021

Subdivision-Based Mesh Convolution Networks
by Shi-Min Hu et al

06-04-2021

A Survey on Deep Domain Adaptation for LiDAR Perception
by Larissa T. Triess et al

06-02-2021

Evidential Turing Processes
by Melih Kandemir et al

06-03-2021

Lymph Node Graph Neural Networks for Cancer Metastasis Prediction
by Michal Kazmierski et al

06-01-2021

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
by Sharu Theresa Jose et al

06-01-2021

Validating GAN-BioBERT: A Methodology For Assessing Reporting Trends In Clinical Trials
by Joshua J Myszewski et al

06-01-2021

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
by Yuxin Fang et al

06-01-2021

Markpainting: Adversarial Machine Learning meets Inpainting
by David Khachaturov et al

06-01-2021

Discovering Diverse Nearly Optimal Policies withSuccessor Features
by Tom Zahavy et al

06-04-2021

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
by Zhijing Jin et al

06-02-2021

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
by Swarnadeep Saha et al

06-01-2021

Collaborative Nonstationary Multivariate Gaussian Process Model
by Rui Meng et al

06-01-2021

Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
by M. Ali Vosoughi et al

06-01-2021

Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning
by Babatunji Omoniwa et al

06-04-2021

Price graphs: Utilizing the structural information of financial time series for stock prediction
by Junran Wu et al

06-04-2021

Extreme sparsity gives rise to functional specialization
by Gabriel Béna et al

06-02-2021

PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
by Alexander Matyasko et al

06-02-2021

q-RBFNN:A Quantum Calculus-based RBF Neural Network
by Syed Saiq Hussain et al

06-04-2021

A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
by Manh-Duy Nguyen et al

06-02-2021

Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making
by Piyush K. Sharma

06-01-2021

ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns
by Mostafa Abbas et al

 
Craig Smith