Machine Learning (stat)

Papers filed under stat.ML on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1 to 60 of 6,780

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
Yang Zou, Zhikun Zhang, Michael Backes +1
cs.CRcs.LGstat.MLarXiv:2009.04872v12020
An Online Boosting Algorithm with Theoretical Justifications
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
cs.LGstat.MLarXiv:1206.6422v12012
Relevant sparse codes with variational information bottleneck
Matthew Chalk, Olivier Marre, Gasper Tkacik
stat.MLarXiv:1605.07332v22016
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
cs.LGcs.DCcs.NIarXiv:2004.04104v22020
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
cs.LGcs.CVcs.NEarXiv:1907.03799v32019
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan +8
cs.LGcs.CLstat.MLarXiv:2006.03555v32020
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024
Matching Normalizing Flows and Probability Paths on Manifolds
Heli Ben-Hamu, Samuel Cohen, Joey Bose +5
stat.MLcs.LGarXiv:2207.04711v12022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu, Weili Nie, Chengpeng Wang +6
cs.LGcs.CLq-bio.QMarXiv:2212.10789v32022
Studying Large Language Model Generalization with Influence Functions
Roger Grosse, Juhan Bae, Cem Anil +14
cs.LGcs.CLstat.MLarXiv:2308.03296v12023
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
James Lucas, Juhan Bae, Michael R. Zhang +3
cs.LGcs.AIstat.MLarXiv:2104.11044v22021
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
stat.MLcs.AIcs.LGarXiv:1904.02868v22019
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition
Xiangbo Shu, Jiawen Yang, Rui Yan +1
cs.CVstat.MLarXiv:2112.10992v22021
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying, Dylan Bourgeois, Jiaxuan You +2
cs.LGstat.MLarXiv:1903.03894v42019
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, Jaehoon Lee +6
stat.MLcs.AIcs.LGarXiv:1810.05148v42018
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8
cs.LGcs.CVstat.MLarXiv:1810.03382v12018
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios N. Angelopoulos, Stephen Bates
cs.LGcs.AImath.STarXiv:2107.07511v62021
Music Transformer
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit +7
cs.LGcs.SDeess.ASarXiv:1809.04281v32018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee, Kibok Lee, Honglak Lee +1
stat.MLcs.CRcs.LGarXiv:1807.03888v22018
Supervised learning with quantum enhanced feature spaces
Vojtech Havlicek, Antonio D. Córcoles, Kristan Temme +4
quant-phstat.MLarXiv:1804.11326v22018
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1
cs.CVcs.AIcs.LGarXiv:1804.09400v12018
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
Kyeong Soo Kim, Sanghyuk Lee, Kaizhu Huang
cs.NIcs.LGcs.NEarXiv:1712.01990v12017
Machine learning for neural decoding
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury +3
q-bio.NCcs.LGstat.MLarXiv:1708.00909v42017
Some methods for heterogeneous treatment effect estimation in high-dimensions
Scott Powers, Junyang Qian, Kenneth Jung +4
stat.MLarXiv:1707.00102v12017
Active learning machine learns to create new quantum experiments
Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn +4
quant-phcs.AIstat.MLarXiv:1706.00868v32017
Community Detection and Stochastic Block Models
Emmanuel Abbe
math.PRcs.CCcs.ITarXiv:1703.10146v32017
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
cs.CVcs.LGstat.MLarXiv:1609.03677v32016
Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments
Yuki Murakami, Takumi Hattori, Kohsuke Kubota
stat.MEcs.AIcs.LGarXiv:2608.22024v12026
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1412.1602v12014
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy M. Cohen, Simran Kaur, Yuanzhi Li +2
cs.LGstat.MLarXiv:2103.00065v32021
Understanding Random Forests: From Theory to Practice
Gilles Louppe
stat.MLarXiv:1407.7502v32014
Semi-supervised clustering methods
Eric Bair
stat.MEcs.LGstat.MLarXiv:1307.0252v12013
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
cs.CLcs.LGstat.MLarXiv:2010.00577v32020
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng, Pengtao Xie
cs.LGstat.MLarXiv:2009.05923v12020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park +3
cs.LGstat.MLarXiv:2007.08844v22020
CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
Hamza Shafiq, Hung Manh Pham, Bin Zhu +3
cs.LGeess.IVstat.MLarXiv:2608.12944v12026
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin, Wray Buntine, Farid Boussaid +2
cs.LGstat.MLarXiv:2007.06823v32020
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L. Guastoni, A. Güemes, A. Ianiro +4
physics.flu-dynphysics.comp-phstat.MLarXiv:2006.12483v12020
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Praneeth Karimireddy, Lie He, Martin Jaggi
cs.LGstat.MLarXiv:2006.09365v62020
Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten +3
cs.CVcs.LGcs.NEarXiv:2006.06676v22020
Deep Learning is Not So Mysterious or Different
Andrew Gordon Wilson
cs.LGstat.MLarXiv:2503.02113v22025
Maximum Density Divergence for Domain Adaptation
Li Jingjing, Chen Erpeng, Ding Zhengming +3
cs.CVcs.LGcs.MMarXiv:2004.12615v12020
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou, Lawrence Carin
stat.MEstat.MLarXiv:1209.3442v32012
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang, Guodong Long, Lu Liu +3
cs.LGstat.MLarXiv:2002.10061v32020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
cs.LGstat.MLarXiv:2002.04138v32020
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi, N. Siddharth, Brooks Paige +1
stat.MLcs.LGarXiv:1911.03393v12019
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier +7
cs.LGstat.MLarXiv:1909.04939v32019
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba, Shotaro Sano, Toshihiko Yanase +2
cs.LGstat.MLarXiv:1907.10902v12019
Hierarchically Structured Meta-learning
Huaxiu Yao, Ying Wei, Junzhou Huang +1
cs.LGstat.MLarXiv:1905.05301v22019
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
Soham De, Anirbit Mukherjee, Enayat Ullah
cs.LGmath.OCstat.MLarXiv:1807.06766v32018
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
Tommi Vatanen, Tapani Raiko, Harri Valpola +1
cs.LGcs.CVstat.MLarXiv:1301.3476v32013
Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders
A. Martina Neuman, Dominik Dold, Philipp Christian Petersen
cs.NEcs.LGmath.FAarXiv:2404.04549v32024
Towards Automatic Concept-based Explanations
Amirata Ghorbani, James Wexler, James Zou +1
stat.MLcs.CVcs.LGarXiv:1902.03129v32019
Revisiting minimum description length complexity in overparameterized models
Raaz Dwivedi, Chandan Singh, Bin Yu +1
cs.LGcs.ITmath.STarXiv:2006.10189v42020
A Tropical Approach to Neural Networks with Piecewise Linear Activations
Vasileios Charisopoulos, Petros Maragos
stat.MLcs.LGarXiv:1805.08749v22018
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Sener, Silvio Savarese
stat.MLcs.CVcs.LGarXiv:1708.00489v42017
Personalized Federated Learning with Gaussian Processes
Idan Achituve, Aviv Shamsian, Aviv Navon +2
cs.LGstat.MLarXiv:2106.15482v22021
Fair and Diverse DPP-based Data Summarization
L. Elisa Celis, Vijay Keswani, Damian Straszak +3
cs.LGcs.CYcs.IRarXiv:1802.04023v12018
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
cs.LGcs.AIstat.MLarXiv:2202.00512v22022
Lipschitz Bandits with Stochastic Delayed Feedback
Zhongxuan Liu, Yue Kang, Thomas C. M. Lee
cs.LGstat.MLarXiv:2510.00309v22025

Machine Learning (stat)

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning

An Online Boosting Algorithm with Theoretical Justifications

Relevant sparse codes with variational information bottleneck

Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Matching Normalizing Flows and Probability Paths on Manifolds

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing

Studying Large Language Model Generalization with Influence Functions

Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

Data Shapley: Equitable Valuation of Data for Machine Learning

Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition

GNNExplainer: Generating Explanations for Graph Neural Networks

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes

Deep learning cardiac motion analysis for human survival prediction

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Music Transformer

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Supervised learning with quantum enhanced feature spaces

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting

Machine learning for neural decoding

Some methods for heterogeneous treatment effect estimation in high-dimensions

Active learning machine learns to create new quantum experiments

Community Detection and Stochastic Block Models

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Understanding Random Forests: From Theory to Practice

Semi-supervised clustering methods

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Contrastive Self-supervised Learning for Graph Classification

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation

Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

Convolutional-network models to predict wall-bounded turbulence from wall quantities

Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Training Generative Adversarial Networks with Limited Data

Deep Learning is Not So Mysterious or Different

Maximum Density Divergence for Domain Adaptation

Negative Binomial Process Count and Mixture Modeling

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

InceptionTime: Finding AlexNet for Time Series Classification

Optuna: A Next-generation Hyperparameter Optimization Framework

Hierarchically Structured Meta-learning

Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration

Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities

Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders

Towards Automatic Concept-based Explanations

Revisiting minimum description length complexity in overparameterized models

A Tropical Approach to Neural Networks with Piecewise Linear Activations

Active Learning for Convolutional Neural Networks: A Core-Set Approach

Personalized Federated Learning with Gaussian Processes

Fair and Diverse DPP-based Data Summarization

Progressive Distillation for Fast Sampling of Diffusion Models

Lipschitz Bandits with Stochastic Delayed Feedback