2021.7.5 Learning papers

 

06-29-2021

Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit
by Yichi Zhou et al

06-30-2021

Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning
by Sean Hooten et al

07-01-2021

Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks
by Etai Littwin et al

06-29-2021

DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
by Thi Ngoc Tho Nguyen et al

06-29-2021

Evolving-Graph Gaussian Processes
by David Blanco-Mulero et al

06-30-2021

Exploring Robustness of Neural Networks through Graph Measures
by Asim Waqas et al

07-02-2021

SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
by Grgur Kovač et al

07-02-2021

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
by Junya Chen et al

06-29-2021

An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments
by Nirmalya Thakur et al

07-01-2021

Interactive Causal Structure Discovery in Earth System Sciences
by Laila Melkas et al

07-01-2021

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
by Xiaoyi Dong et al

07-02-2021

Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions
by Tong Mao et al

07-01-2021

Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
by Abdalkarim Mohtasib et al

06-29-2021

Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
by Baojian Zhou et al

07-01-2021

Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
by Grace Zhang et al

06-30-2021

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
by Feihu Huang et al

06-30-2021

Analytic Insights into Structure and Rank of Neural Network Hessian Maps
by Sidak Pal Singh et al

07-01-2021

A Survey on Graph-Based Deep Learning for Computational Histopathology
by David Ahmedt-Aristizabal et al

06-30-2021

Dep-L0L0: Improving L0L0-based Network Sparsification via Dependency Modeling
by Yang Li et al

06-29-2021

GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis
by Jinhyeok Yang et al

06-29-2021

A Mechanism for Producing Aligned Latent Spaces with Autoencoders
by Saachi Jain et al

06-29-2021

Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces
by Ricardo Quinteiro et al

06-30-2021

Interventional Assays for the Latent Space of Autoencoders
by Felix Leeb et al

06-29-2021

Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points
by Lili Su et al

06-29-2021

Counterfactual Explanations for Arbitrary Regression Models
by Thomas Spooner et al

07-02-2021

A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
by Anil Berk Altuner et al

06-30-2021

Classical Planning in Deep Latent Space
by Masataro Asai et al

06-29-2021

Structure-aware reinforcement learning for node-overload protection in mobile edge computing
by Anirudha Jitani et al

06-29-2021

Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins
by Ankush Chakrabarty et al

06-29-2021

Sounds of COVID-19: exploring realistic performance of audio-based digital testing
by Jing Han et al

07-02-2021

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
by Chen Chen et al

07-02-2021

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
by Qing Guo et al

07-02-2021

Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods
by Davood Zabihzadeh

06-30-2021

Edge Representation Learning with Hypergraphs
by Jaehyeong Jo et al

07-01-2021

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
by Nicklas Hansen et al

07-02-2021

Toward Robust Drug-Target Interaction Prediction via Ensemble Modeling and Transfer Learning
by Po-Yu Kao et al

07-02-2021

A\c{C}AI: Ascent Similarity Caching with Approximate Indexes
by Tareq Si Salem et al

06-29-2021

Unaware Fairness: Hierarchical Random Forest for Protected Classes
by Xian Li

07-01-2021

DivergentNets: Medical Image Segmentation by Network Ensemble
by Vajira Thambawita et al

07-02-2021

Unveiling the structure of wide flat minima in neural networks
by Carlo Baldassi et al

06-29-2021

The Threat of Offensive AI to Organizations
by Yisroel Mirsky et al

07-01-2021

SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
by Kai Liu et al

06-29-2021

Zoo-Tuning: Adaptive Transfer from a Zoo of Models
by Yang Shu et al

06-29-2021

Privacy Budget Scheduling
by Tao Luo et al

06-29-2021

Detecting Cattle and Elk in the Wild from Space
by Caleb Robinson et al

06-29-2021

Certifiable Machine Unlearning for Linear Models
by Ananth Mahadevan et al

06-29-2021

Optimal Rates for Random Order Online Optimization
by Uri Sherman et al

06-29-2021

Subgroup Generalization and Fairness of Graph Neural Networks
by Jiaqi Ma et al

06-29-2021

Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
by Cory Braker Scott et al

06-29-2021

ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
by Peter Kulits et al

06-29-2021

Curvature Graph Neural Network
by Haifeng Li et al

06-29-2021

Machine learning for plant microRNA prediction: A systematic review
by Shyaman Jayasundara et al

06-29-2021

Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs
by Wessel Radstok et al

07-02-2021

Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
by Subhabrata Majumdar et al

06-30-2021

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
by Tharindu Fernando et al

06-30-2021

The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
by Anders Andreassen et al

07-02-2021

Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription
by Nikita Pavlichenko et al

06-30-2021

Augmented Shortcuts for Vision Transformers
by Yehui Tang et al

07-01-2021

Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples
by Nelson Manohar-Alers et al

06-29-2021

Attaining entropy production and dissipation maps from Brownian movies via neural networks
by Youngkyoung Bae et al

07-01-2021

Reparameterized Sampling for Generative Adversarial Networks
by Yifei Wang et al

07-01-2021

Online learning of windmill time series using Long Short-term Cognitive Networks
by Alejandro Morales-Hernández et al

06-30-2021

Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
by Damien Fourure et al

06-30-2021

Global Knowledge Distillation in Federated Learning
by Wanning Pan et al

07-02-2021

Reconsidering Dependency Networks from an Information Geometry Perspective
by Kazuya Takabatake et al

06-30-2021

Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
by Wonju Lee et al

06-30-2021

A Unified View of Stochastic Hamiltonian Sampling
by Giulio Franzese et al

07-01-2021

Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
by Shanu Kumar et al

06-29-2021

Background Knowledge in Schema Matching: Strategy vs. Data
by Jan Portisch et al

06-29-2021

On-board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
by Maria Pia Del Rosso et al

06-29-2021

Convolutional Hypercomplex Embeddings for Link Prediction
by Caglar Demir et al

06-29-2021

Semi-supervised learning with Bayesian Confidence Propagation Neural Network
by Naresh Balaji Ravichandran et al

07-01-2021

VideoLightFormer: Lightweight Action Recognition using Transformers
by Raivo Koot et al

07-01-2021

Sparse GCA and Thresholded Gradient Descent
by Sheng Gao et al

06-29-2021

On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
by Ekaterina Lobacheva et al

06-29-2021

Self-Contrastive Learning
by Sangmin Bae et al

06-29-2021

A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
by Nikunj Saunshi et al

07-01-2021

Transformer-F: A Transformer network with effective methods for learning universal sentence representation
by Yu Shi

06-30-2021

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information
by Stefan Zernetsch et al

06-30-2021

Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
by Abderrahmen Amich et al

07-02-2021

Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
by Alberto Badias et al

06-30-2021

A Generative Model for Raw Audio Using Transformer Architectures
by Prateek Verma et al

07-02-2021

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
by Nan Rosemary Ke et al

06-30-2021

Robust Generative Adversarial Imitation Learning via Local Lipschitzness
by Farzan Memarian et al

06-30-2021

On the Power of Saturated Transformers: A View from Circuit Complexity
by William Merrill et al

07-01-2021

Pretext Tasks selection for multitask self-supervised speech representation learning
by Salah Zaiem et al

07-01-2021

Fast Margin Maximization via Dual Acceleration
by Ziwei Ji et al

07-01-2021

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
by Seunghyun Lee et al

07-01-2021

Impact Remediation: Optimal Interventions to Reduce Inequality
by Lucius E. J. Bynum et al

07-01-2021

Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition
by Vittorio Mazzia et al

06-29-2021

Multi-Source Domain Adaptation for Object Detection
by Xingxu Yao et al

07-01-2021

Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics
by Han-Chih Chang et al

06-29-2021

Continuous Latent Process Flows
by Ruizhi Deng et al

06-29-2021

Learning Bounds for Open-Set Learning
by Zhen Fang et al

06-30-2021

Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget
by Baihan Lin et al

06-30-2021

Single-Step Adversarial Training for Semantic Segmentation
by Daniel Wiens et al

06-30-2021

Resilient UAV Swarm Communications with Graph Convolutional Neural Network
by Zhiyu Mou et al

06-29-2021

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
by Kimia Nadjahi et al

07-01-2021

Towards Measuring Bias in Image Classification
by Nina Schaaf et al

06-29-2021

Distributionally Robust Learning with Stable Adversarial Training
by Jiashuo Liu et al

07-02-2021

Exploration noise for learning linear-quadratic mean field games
by François Delarue et al

06-29-2021

Towards Generalisable Deep Inertial Tracking via Geometry-Aware Learning
by Mohammed Alloulah et al

06-29-2021

Interactive Dimensionality Reduction for Comparative Analysis
by Takanori Fujiwara et al

06-30-2021

HybridDeepRx: Deep Learning Receiver for High-EVM Signals
by Jaakko Pihlajasalo et al

07-02-2021

DUKweb: Diachronic word representations from the UK Web Archive corpus
by Adam Tsakalidis et al

06-30-2021

Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
by Nicolas Loizou et al

07-02-2021

Empirically Measuring Transfer Distance for System Design and Operation
by Tyler Cody et al

07-02-2021

Combinatorial Optimization with Physics-Inspired Graph Neural Networks
by Martin J. A. Schuetz et al

07-02-2021

NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
by Jerrick Liu et al

06-29-2021

Multi-Scale Spectrogram Modelling for Neural Text-to-Speech
by Ammar Abbas et al

06-30-2021

Group Testing under Superspreading Dynamics
by Stratis Tsirtsis et al

06-30-2021

Using AntiPatterns to avoid MLOps Mistakes
by Nikhil Muralidhar et al

07-02-2021

Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
by Rajeev Rikhye et al

07-02-2021

Supervised Contrastive Learning for Accented Speech Recognition
by Tao Han et al

07-02-2021

Data Centric Domain Adaptation for Historical Text with OCR Errors
by Luisa März et al

06-30-2021

What can linear interpolation of neural network loss landscapes tell us?
by Tiffany Vlaar et al

06-30-2021

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
by Mathieu Goutay et al

07-02-2021

Language Identification of Hindi-English tweets using code-mixed BERT
by Mohd Zeeshan Ansari et al

06-29-2021

Near-Optimal Explainable kk-Means for All Dimensions
by Moses Charikar et al

07-02-2021

Conflict-free collective stochastic decision making by orbital angular momentum entangled photons
by Takashi Amakasu et al

06-29-2021

MAML is a Noisy Contrastive Learner
by Chia-Hsiang Kao et al

06-29-2021

Attack Transferability Characterization for Adversarially Robust Multi-label Classification
by Zhuo Yang et al

07-01-2021

Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques
by Viera Maslej-Krešňáková et al

07-02-2021

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors
by Vishnu Banna et al

06-30-2021

DAEMA: Denoising Autoencoder with Mask Attention
by Simon Tihon et al

07-01-2021

The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification
by Alireza Mousavi Hosseini et al

07-02-2021

Memory Efficient Meta-Learning with Large Images
by John Bronskill et al

06-29-2021

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
by Vajira Thambawita et al

07-02-2021

A Systems Theory of Transfer Learning
by Tyler Cody et al

07-02-2021

CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning
by Liping Wang et al

07-02-2021

Road Roughness Estimation Using Machine Learning
by Milena Bajic et al

07-01-2021

Distilling Reinforcement Learning Tricks for Video Games
by Anssi Kanervisto et al

06-30-2021

Multi-modal Graph Learning for Disease Prediction
by Shuai Zheng et al

07-01-2021

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
by Asiful Arefeen et al

07-01-2021

Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
by Eduardo Fonseca et al

07-01-2021

Flow-based sampling for multimodal distributions in lattice field theory
by Daniel C. Hackett et al

06-30-2021

Understanding and Improving Early Stopping for Learning with Noisy Labels
by Yingbin Bai et al

06-29-2021

Cascade Decoders-Based Autoencoders for Image Reconstruction
by Honggui Li et al

06-30-2021

PSD Representations for Effective Probability Models
by Alessandro Rudi et al

06-30-2021

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
by Thomas Kollar et al

06-30-2021

Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting
by Elif Tugce Ceran et al

06-29-2021

Joint Majorization-Minimization for Nonnegative Matrix Factorization with the ββ-divergence
by Arthur Marmin et al

06-30-2021

Leveraging Hidden Structure in Self-Supervised Learning
by Emanuele Sansone

06-29-2021

Exponential Weights Algorithms for Selective Learning
by Mingda Qiao et al

06-29-2021

As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance
by Fiorella Wever et al

06-29-2021

A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
by Uddeshya Upadhyay et al

06-29-2021

Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning
by Motoya Ohnishi et al

06-29-2021

Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey
by Benyamin Ghojogh et al

06-30-2021

Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
by You Qiaoben et al

07-01-2021

q-Paths: Generalizing the Geometric Annealing Path using Power Means
by Vaden Masrani et al

06-29-2021

Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
by Nirmalya Thakur et al

06-29-2021

TUCaN: Progressively Teaching Colourisation to Capsules
by Rita Pucci et al

06-29-2021

Understanding Adversarial Examples Through Deep Neural Networks Response Surface and Uncertainty Regions
by Juan Shu et al

06-30-2021

Faithful Edge Federated Learning: Scalability and Privacy
by Meng Zhang et al

06-30-2021

Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
by Mihaela Curmei et al

06-29-2021

MuViS: Online MU-MIMO Grouping for Multi-User Applications Over Commodity WiFi
by Hannaneh Barahouei Pasandi et al

07-01-2021

Goal-Conditioned Reinforcement Learning with Imagined Subgoals
by Elliot Chane-Sane et al

06-29-2021

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
by Aviv Gabbay et al

07-01-2021

Differentiable Particle Filters through Conditional Normalizing Flow
by Xiongjie Chen et al

07-02-2021

Misinformation Detection on YouTube Using Video Captions
by Raj Jagtap et al

07-02-2021

Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
by Suryanarayana Maddu et al

06-29-2021

Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations
by Aahlad Puli et al

07-01-2021

MHER: Model-based Hindsight Experience Replay
by Rui Yang et al

06-29-2021

Learning from Multiple Annotators by Incorporating Instance Features
by Jingzheng Li et al

06-29-2021

Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
by Deborah Pereg et al

06-29-2021

Reliable and Fast Recurrent Neural Network Architecture Optimization
by Andrés Camero et al

06-29-2021

Adaptive Sample Selection for Robust Learning under Label Noise
by Deep Patel et al

07-01-2021

AdaXpert: Adapting Neural Architecture for Growing Data
by Shuaicheng Niu et al

06-29-2021

FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
by Taejun Bak et al

07-01-2021

Global Filter Networks for Image Classification
by Yongming Rao et al

06-29-2021

Never Go Full Batch (in Stochastic Convex Optimization)
by Idan Amir et al

07-01-2021

Circuit Complexity of Visual Search
by Kei Uchizawa et al

07-02-2021

Learning Primal Heuristics for Mixed Integer Programs
by Yunzhuang Shen et al

06-30-2021

Long Short-term Cognitive Networks
by Gonzalo Nápoles et al

07-01-2021

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
by Greg d'Eon et al

06-30-2021

Graph Signal Restoration Using Nested Deep Algorithm Unrolling
by Masatoshi Nagahama et al

07-01-2021

Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems
by Neeraj Varshney et al

07-01-2021

Meta-Learning for Relative Density-Ratio Estimation
by Atsutoshi Kumagai et al

07-01-2021

Mitigating deep double descent by concatenating inputs
by John Chen et al

06-29-2021

Local Reweighting for Adversarial Training
by Ruize Gao et al

07-01-2021

DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
by Alberto Marchisio et al

06-29-2021

Personalized Federated Learning with Gaussian Processes
by Idan Achituve et al

06-30-2021

Improving the Efficiency of Transformers for Resource-Constrained Devices
by Hamid Tabani et al

07-02-2021

Backward-Compatible Prediction Updates: A Probabilistic Approach
by Frederik Träuble et al

07-01-2021

On the Expected Complexity of Maxout Networks
by Hanna Tseran et al

07-02-2021

Deep learning-based statistical noise reduction for multidimensional spectral data
by Younsik Kim et al

06-29-2021

A Survey on Neural Speech Synthesis
by Xu Tan et al

06-30-2021

Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow
by Wenjun Zeng et al

06-29-2021

Learning latent causal graphs via mixture oracles
by Bohdan Kivva et al

06-29-2021

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
by Zhaoqiang Liu et al

06-29-2021

Meta-learning for Matrix Factorization without Shared Rows or Columns
by Tomoharu Iwata

06-29-2021

Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System
by Mauro Conti et al

06-29-2021

DRILL-- Deep Reinforcement Learning for Refinement Operators in ALCALC
by Caglar Demir et al

07-01-2021

Audiovisual Singing Voice Separation
by Bochen Li et al

06-30-2021

A Robust Classification-autoencoder to Defend Outliers and Adversaries
by Lijia Yu et al

06-30-2021

Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
by Zhizheng Zhang et al

06-29-2021

Classification of Consumer Belief Statements From Social Media
by Gerhard Hagerer et al

06-29-2021

Curious Explorer: a provable exploration strategy in Policy Learning
by Marco Miani et al

06-29-2021

Uncertainty-Guided Progressive GANs for Medical Image Translation
by Uddeshya Upadhyay et al

07-01-2021

Overhead-MNIST: Machine Learning Baselines for Image Classification
by Erik Larsen et al

07-01-2021

Cell-average based neural network method for hyperbolic and parabolic partial differential equations
by Changxin Qiu et al

07-01-2021

Combining Feature and Instance Attribution to Detect Artifacts
by Pouya Pezeshkpour et al

07-02-2021

Decision tree heuristics can fail, even in the smoothed setting
by Guy Blanc et al

07-01-2021

Weather-based forecasting of energy generation, consumption and price for electrical microgrids management
by Jonathan Dumas

06-30-2021

Design and implementation of an islanded hybrid microgrid system for a large resort center for Penang Island with the proper application of excess energy
by SK. A. Shezan et al

06-30-2021

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
by Mathieu Goutay et al

06-30-2021

Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
by Charilaos Mylonas et al

06-29-2021

INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks
by Dongha Kim et al

07-02-2021

Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
by Thanaphon Suwannaphong et al

07-02-2021

R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
by Xiang Hu et al

07-02-2021

Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
by Charalampos Zafeiropoulos et al

07-02-2021

ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
by Chen Dun et al

07-01-2021

Well-calibrated prediction intervals for regression problems
by Nicolas Dewolf et al

06-29-2021

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
by Jiefeng Chen et al

07-01-2021

ControlBurn: Feature Selection by Sparse Forests
by Brian Liu et al

07-01-2021

Focal Self-attention for Local-Global Interactions in Vision Transformers
by Jianwei Yang et al

06-29-2021

Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
by Guillermo Infante et al

06-29-2021

Multiple Graph Learning for Scalable Multi-view Clustering
by Tianyu Jiang et al

06-29-2021

Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes
by Nirmalya Thakur et al

06-30-2021

Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition
by Zhongyuan Lyu et al

06-30-2021

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
by Wanlu Lei et al

06-30-2021

Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization
by Arthur Jacot et al

06-30-2021

Exploring Context Modeling Techniques on the Spatiotemporal Crowd Flow Prediction
by Liyue Chen et al

07-02-2021

Gradient-Leakage Resilient Federated Learning
by Wenqi Wei et al

07-01-2021

Almost Tight Approximation Algorithms for Explainable Clustering
by Hossein Esfandiari et al

07-01-2021

On Bridging Generic and Personalized Federated Learning
by Hong-You Chen et al

07-02-2021

DeformRS: Certifying Input Deformations with Randomized Smoothing
by Motasem Alfarra et al

07-01-2021

Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations
by Muntabir Hasan Choudhury et al

07-01-2021

A Map of Bandits for E-commerce
by Yi Liu et al

07-01-2021

Reinforcement Learning for Feedback-Enabled Cyber Resilience
by Yunhan Huang et al

07-02-2021

Multimodal Representation for Neural Code Search
by Jian Gu et al

07-01-2021

Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors
by Ulysse Côté-Allard et al

06-30-2021

Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation
by T. Tony Cai et al

07-01-2021

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning
by Hadi Beik-Mohammadi et al

07-01-2021

Neural Network Training with Highly Incomplete Datasets
by Yu-Wei Chang et al

06-30-2021

Few-Shot Learning with a Strong Teacher
by Han-Jia Ye et al

06-29-2021

UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
by Su Wang et al

07-01-2021

Scalable Certified Segmentation via Randomized Smoothing
by Marc Fischer et al

06-29-2021

A Convergent and Efficient Deep Q Network Algorithm
by Zhikang T. Wang et al

07-01-2021

Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
by Pierre Gillot et al

06-30-2021

Cross-Lingual Adaptation for Type Inference
by Zhiming Li et al

06-30-2021

Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence
by Ghassen Jerfel et al

07-02-2021

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
by Hayeon Lee et al

06-30-2021

Fixed points of monotonic and (weakly) scalable neural networks
by Tomasz Piotrowski et al

06-30-2021

Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions
by Roy Dong et al

07-01-2021

Near-optimal Algorithms for Explainable k-Medians and k-Means
by Konstantin Makarychev et al

06-29-2021

On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
by Edward Elson Kosasih et al

06-29-2021

End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping
by Fayçal Ait Aoudia et al

07-01-2021

Shared Data and Algorithms for Deep Learning in Fundamental Physics
by Lisa Benato et al

07-01-2021

On the Bike Spreading Problem
by Elia Costa et al

06-30-2021

Robust Coreset for Continuous-and-Bounded Learning (with Outliers)
by Zixiu Wang et al

07-01-2021

Secure Quantized Training for Deep Learning
by Marcel Keller et al

07-01-2021

A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation
by Hamed Damirchi et al

07-01-2021

Gap-Dependent Bounds for Two-Player Markov Games
by Zehao Dou et al

07-01-2021

FedMix: Approximation of Mixup under Mean Augmented Federated Learning
by Tehrim Yoon et al

06-30-2021

Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity
by Wei-Ming Li et al

06-29-2021

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
by Hanping Zhang et al

06-29-2021

GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures
by Xiangzhe Kong et al

06-29-2021

Diffusion Priors In Variational Autoencoders
by Antoine Wehenkel et al

06-29-2021

SAT Based Analogy Evaluation Framework for Persian Word Embeddings
by Seyyed Ehsan Mahmoudi et al

07-02-2021

RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
by Nazmul Karim et al

07-01-2021

Spotting adversarial samples for speaker verification by neural vocoders
by Haibin Wu et al

07-01-2021

Machine learning based iterative learning control for non-repetitive time-varying systems
by Yiyang Chen et al

06-30-2021

Monte Carlo Variational Auto-Encoders
by Achille Thin et al

07-01-2021

Boosting Certified ℓ∞ℓ∞ Robustness with EMA Method and Ensemble Model
by Binghui Li et al

06-29-2021

Learning Task Informed Abstractions
by Xiang Fu et al

07-01-2021

An Investigation of the (In)effectiveness of Counterfactually Augmented Data
by Nitish Joshi et al

07-02-2021

Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
by Guanghui Wang et al

06-30-2021

How to Train Your MAML to Excel in Few-Shot Classification
by Han-Jia Ye et al

07-01-2021

Lossless Coding of Point Cloud Geometry using a Deep Generative Model
by Dat Thanh Nguyen et al

07-01-2021

CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
by Alberto Viale et al

06-30-2021

Edge Proposal Sets for Link Prediction
by Abhay Singh et al

07-01-2021

The Limit Order Book Recreation Model (LOBRM): An Extended Analysis
by Zijian Shi et al

06-30-2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
by Zhen Huang et al

07-01-2021

Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning
by Jonathan Wenger et al

06-30-2021

Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers
by Spandan Madan et al

07-01-2021

Generalization and Robustness Implications in Object-Centric Learning
by Andrea Dittadi et al

06-30-2021

Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network
by Hamed Hojatian et al

06-29-2021

On exploring practical potentials of quantum auto-encoder with advantages
by Yuxuan Du et al

07-01-2021

Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability
by Anubhab Ghosh et al

06-29-2021

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
by Dara Bahri et al

06-29-2021

Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework
by Jacob Miller et al

06-30-2021

Nearly-Tight and Oblivious Algorithms for Explainable Clustering
by Buddhima Gamlath et al

06-29-2021

Geometry-aware Transformer for molecular property prediction
by Bumju Kwak et al

07-01-2021

Explainable Diabetic Retinopathy Detection and Retinal Image Generation
by Yuhao Niu et al

06-30-2021

On the Generative Utility of Cyclic Conditionals
by Chang Liu et al

07-02-2021

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
by Zhiyuan Wang et al

06-30-2021

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment
by Ashwinkumar Ganesan et al

06-30-2021

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
by Jack Parker-Holder et al

06-29-2021

Dual GNNs: Graph Neural Network Learning with Limited Supervision
by Abdullah Alchihabi et al

06-29-2021

Open-Set Representation Learning through Combinatorial Embedding
by Geeho Kim et al

06-30-2021

Improving Factual Consistency of Abstractive Summarization on Customer Feedback
by Yang Liu et al

06-30-2021

Reinforcement Learning based Disease Progression Model for Alzheimers Disease
by Krishnakant V. Saboo et al

06-29-2021

Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
by Kiarash Zahirnia et al

06-29-2021

Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
by Annie Wong et al

06-29-2021

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
by Siddharth Bhatia et al

07-01-2021

The Causal Neural Connection: Expressiveness, Learnability, and Inference
by Kevin Xia et al

06-30-2021

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
by Xiaolong Ma et al

06-30-2021

Improving black-box optimization in VAE latent space using decoder uncertainty
by Pascal Notin et al

07-01-2021

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
by Suraj Kothawade et al

07-02-2021

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
by Lingbo Liu et al

07-01-2021

Mandoline: Model Evaluation under Distribution Shift
by Mayee Chen et al

07-01-2021

Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data
by Nathaniel Braman et al

07-02-2021

Segmented Federated Learning for Adaptive Intrusion Detection System
by Geet Shingi et al

06-30-2021

On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging
by Chris Junchi Li et al

07-01-2021

Explainable nonlinear modelling of multiple time series with invertible neural networks
by Luis Miguel Lopez-Ramos et al

07-01-2021

Few-shot Learning for Unsupervised Feature Selection
by Atsutoshi Kumagai et al

06-30-2021

Regressing Location on Text for Probabilistic Geocoding
by Benjamin J. Radford

06-30-2021

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
by Pingjun Chen et al

07-02-2021

Screening for a Reweighted Penalized Conditional Gradient Method
by Yifan Sun et al

06-29-2021

The Values Encoded in Machine Learning Research
by Abeba Birhane et al

07-01-2021

Variational Diffusion Models
by Diederik P. Kingma et al

 
Craig Smith