Machine Learning

Papers filed under cs.LG 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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20,701 to 20,760 of 33,845

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye, Xin Lu, Zhe Lin +1
cs.LGarXiv:1802.00124v22018
Differentially Private Federated Learning on Heterogeneous Data
Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut
cs.LGcs.CRmath.STarXiv:2111.09278v32021
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo, Quang Pham, Jing Lu +1
cs.LGarXiv:1711.03705v12017
The Advantages of Fresh Sketching for Ridge Regression
Linkai Ma, Qilin Li, Petros Drineas
cs.LGarXiv:2609.38565v12026
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan +1
cs.LGstat.MLarXiv:1910.07483v22019
Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration
Michael B. Cohen, Aaron Sidford, Kevin Tian
math.OCcs.DScs.LGarXiv:2011.06572v22020
Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
Junhong Lin, Xinyue Zeng, Jie Zhu +4
cs.LGarXiv:2505.16122v32025
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park, Jongin Lim, Younghan Jeon +1
cs.CVcs.LGarXiv:2110.02444v12021
MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models
Ya Wen, Jixuan Cai, Yulun Zhou +1
cs.LGcs.SIarXiv:2608.17848v12026
Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman +11
eess.IVcs.CVcs.LGarXiv:2008.08871v22020
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
math.OCcs.LGcs.NEarXiv:1603.06160v22016
Federated Transfer Learning: concept and applications
Sudipan Saha, Tahir Ahmad
cs.LGcs.CRarXiv:2010.15561v32020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
Giulio Lovisotto, Henry Turner, Ivo Sluganovic +2
cs.CVcs.LGarXiv:2007.04137v32020
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo, Benjamin Van Roy
cs.LGarXiv:1403.5341v22014
Distributed Mean Estimation with Limited Communication
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar +1
cs.LGarXiv:1611.00429v32016
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang, Yang Zou, Vijayakumar Bhagavatula +1
cs.CVcs.LGarXiv:2010.12023v12020
Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Zhewei Huang, Tianyuan Zhang, Wen Heng +2
cs.CVcs.LGarXiv:2011.06294v122020
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng +5
cs.CLcs.AIcs.CVarXiv:2304.09842v32023
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos +1
math.OCcs.LGstat.MLarXiv:1607.08254v22016
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Yingheng Wang, Yaosen Min, Xin Chen +1
cs.LGcs.AIarXiv:2010.11711v32020
Importance Weighted Active Learning
Alina Beygelzimer, Sanjoy Dasgupta, John Langford
cs.LGarXiv:0812.4952v42008
Fairness risk measures
Robert C. Williamson, Aditya Krishna Menon
cs.LGstat.MLarXiv:1901.08665v12019
CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing
Zarif Ikram, Arad Firouzkouhi, Stephen Tu +2
cs.LGcs.AIarXiv:2602.15823v22026
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Shakir Mohamed, Marie-Therese Png, William Isaac
cs.CYcs.AIcs.LGarXiv:2007.04068v12020
Rethinking pooling in graph neural networks
Diego Mesquita, Amauri H. Souza, Samuel Kaski
cs.LGcs.AIcs.CVarXiv:2010.11418v12020
Neural networks for spectral optimization
Alexis de Villeroché, Beniamin Bogosel, Stéphane Breuils +2
cs.LGcs.AImath.OCarXiv:2609.36047v12026
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
Xintong Shi, Wenzhi Cao, Sebastian Raschka
cs.LGcs.CVstat.MLarXiv:2111.08851v52021
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
Hritik Bansal, Yonatan Bitton, Michal Yarom +3
cs.CVcs.AIcs.LGarXiv:2405.04682v42024
Unprocessing Images for Learned Raw Denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue +3
cs.CVcs.LGarXiv:1811.11127v12018
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson, Diane J. Cook
cs.LGstat.MLarXiv:1812.02849v32018
Context Inference Attacks Without Jailbreaks
Prince Jha, Samuele Poppi, Nils Lukas
cs.CRcs.LGarXiv:2609.01663v12026
Spanning the Visual Analogy Space with a Weight Basis of LoRAs
Hila Manor, Rinon Gal, Haggai Maron +2
cs.CVcs.AIcs.GRarXiv:2602.15727v22026
Random Walk Initialization for Training Very Deep Feedforward Networks
David Sussillo, L. F. Abbott
cs.NEcs.LGstat.MLarXiv:1412.6558v32014
A Divergence Minimization Perspective on Imitation Learning Methods
Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu
cs.LGstat.MLarXiv:1911.02256v12019
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Chao Pang, Xinzhuo Jiang, Krishna S Kalluri +4
cs.LGarXiv:2111.08585v12021
NEXT: Physics-Informed Neuro-Spectral Exponential Time Differencing Architectures
Márcio Marques, Leonardo Mendonça, Leonardo M. Moreira +6
cs.LGcs.NAmath.NAarXiv:2609.31539v12026
Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss +5
cs.CLcs.LGcs.NEarXiv:1603.06042v22016
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel +1
cs.NEcs.LGq-bio.NCarXiv:1910.07407v32019
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Meyer +4
quant-phcs.LGarXiv:1910.01155v32019
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu, Simiao Zuo, Haoming Jiang +3
cs.CLcs.LGarXiv:2010.07835v32020
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
Lei Ding, Jeshwanth Bheemanpally, Yi Zhang
cs.IRcs.LGarXiv:2404.08860v32024
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
cs.CVcs.CRcs.LGarXiv:1812.02766v12018
WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern, Joe Antognini, Michael Flynn +5
cs.SDcs.CLcs.LGarXiv:1907.01160v12019
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana +5
cs.LGarXiv:2311.12786v22023
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao +4
cs.ROcs.AIcs.LGarXiv:2403.04436v12024
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
cs.LGarXiv:1708.00088v12017
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu, Joseph Homer Saleh
cs.LGstat.MLarXiv:2008.08221v12020
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li +1
cs.CVcs.AIcs.LGarXiv:1711.02741v22017
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont, Edward Kim, Tommaso Dreossi +4
cs.PLcs.CVcs.LGarXiv:2010.06580v12020
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
Yukuan Yang, Shuang Wu, Lei Deng +3
cs.LGstat.MLarXiv:1909.02384v22019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
cs.LGcs.AIstat.MLarXiv:1911.02140v32019
SparseFool: a few pixels make a big difference
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
cs.CVcs.CRcs.LGarXiv:1811.02248v42018
Deep learning enhanced mobile-phone microscopy
Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang +8
cs.LGcs.CVphysics.med-pharXiv:1712.04139v12017
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
cs.CVcs.GRcs.LGarXiv:2111.14818v22021
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
Fredrik D. Johansson, Uri Shalit, Nathan Kallus +1
cs.LGstat.MLarXiv:2001.07426v42020
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
Pan Zhou, Jiashi Feng, Chao Ma +3
cs.LGcs.AImath.OCarXiv:2010.05627v22020
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Yiping Lu, Zhuohan Li, Di He +5
cs.LGcs.CLstat.MLarXiv:1906.02762v12019
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:2110.01799v12021
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin, Yao Ma, Xiaorui Liu +3
cs.LGcs.CRcs.SIarXiv:2005.10203v32020
DeepOBS: A Deep Learning Optimizer Benchmark Suite
Frank Schneider, Lukas Balles, Philipp Hennig
cs.LGstat.MLarXiv:1903.05499v12019

Machine Learning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Differentially Private Federated Learning on Heterogeneous Data

Online Deep Learning: Learning Deep Neural Networks on the Fly

The Advantages of Fresh Sketching for Ridge Regression

MAVEN: Multi-Agent Variational Exploration

Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration

Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models

Influence-Balanced Loss for Imbalanced Visual Classification

MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models

Deep learning-based transformation of the H&E stain into special stains

Stochastic Variance Reduction for Nonconvex Optimization

Federated Transfer Learning: concept and applications

SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations

An Information-Theoretic Analysis of Thompson Sampling

Distributed Mean Estimation with Limited Communication

Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection

Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Stochastic Frank-Wolfe Methods for Nonconvex Optimization

Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction

Importance Weighted Active Learning

Fairness risk measures

CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Rethinking pooling in graph neural networks

Neural networks for spectral optimization

Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities

TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation

Unprocessing Images for Learned Raw Denoising

A Survey of Unsupervised Deep Domain Adaptation

Context Inference Attacks Without Jailbreaks

Spanning the Visual Analogy Space with a Weight Basis of LoRAs

Random Walk Initialization for Training Very Deep Feedforward Networks

A Divergence Minimization Perspective on Imitation Learning Methods

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks

NEXT: Physics-Informed Neuro-Spectral Exponential Time Differencing Architectures

Globally Normalized Transition-Based Neural Networks

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

Stochastic gradient descent for hybrid quantum-classical optimization

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking

Knockoff Nets: Stealing Functionality of Black-Box Models

WHAM!: Extending Speech Separation to Noisy Environments

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Learning Algorithms for Active Learning

Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

Recurrent Autoregressive Networks for Online Multi-Object Tracking

Scenic: A Language for Scenario Specification and Data Generation

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

SparseFool: a few pixels make a big difference

Deep learning enhanced mobile-phone microscopy

Blended Diffusion for Text-driven Editing of Natural Images

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Graph Structure Learning for Robust Graph Neural Networks

DeepOBS: A Deep Learning Optimizer Benchmark Suite