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.

Search paper metadata (including unsummarized papers)

26,821 to 26,880 of 33,132

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
Yan Scholten, Rachel Lawrence, James Hensman +3
cs.LGarXiv:2610.07522v12026
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida, Gang Niu, Aditya Krishna Menon +1
stat.MLcs.LGarXiv:1810.04327v42018
Assessing Generalization of SGD via Disagreement
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek +1
cs.LGcs.AIstat.MLarXiv:2106.13799v22021
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkila +2
eess.AScs.CLcs.LGarXiv:2403.07937v32024
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves, Luís F. Teixeira
eess.IVcs.AIcs.CVarXiv:2205.04766v32022
Differentially Private Contextual Linear Bandits
Roshan Shariff, Or Sheffet
cs.LGstat.MLarXiv:1810.00068v12018
On The Computational Complexity of Self-Attention
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
cs.LGcs.CCarXiv:2209.04881v12022
GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented Agents
Umesh Bodhwani, Thanh Tran, Kai Wei
cs.CLcs.LGarXiv:2609.12191v12026
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
cs.LGcs.CVarXiv:2108.06098v32021
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
I-Hsiang Chen, Wei-Ting Chen, Yu-Wei Liu +3
eess.IVcs.LGarXiv:2501.13134v22025
Is Cosine-Similarity of Embeddings Really About Similarity?
Harald Steck, Chaitanya Ekanadham, Nathan Kallus
cs.IRcs.LGarXiv:2403.05440v12024
Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo +4
quant-phcs.LGstat.MLarXiv:1707.08561v32017
The Faiss library
Matthijs Douze, Alexandr Guzhva, Chengqi Deng +6
cs.LGcs.CVcs.SEarXiv:2401.08281v42024
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Amila Silva, Ling Luo, Shanika Karunasekera +1
cs.CLcs.IRcs.LGarXiv:2102.06314v42021
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani +2
cs.LGcs.CRcs.CVarXiv:2101.04898v22021
Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors
Gyujun Jeong, Junmo Lee, Sungwon Cho +11
physics.ins-detcs.AIcs.LGarXiv:2609.12184v22026
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
Zhibin Zhao, Tianfu Li, Jingyao Wu +4
eess.SPcs.LGarXiv:2003.03315v32020
How model accuracy and explanation fidelity influence user trust
Andrea Papenmeier, Gwenn Englebienne, Christin Seifert
cs.CYcs.AIcs.LGarXiv:1907.12652v12019
Certifying Concept Unlearning in Text-to-Image Diffusion Models
Mansi, Luca Marzari, Francesco Leofante
cs.LGarXiv:2609.12163v12026
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home
Viktor Moskvoretskii, Maria Lysyuk, Mikhail Salnikov +7
cs.CLcs.LGarXiv:2501.12835v22025
KeepLoRA: Continual Learning with Residual Gradient Adaptation
Mao-Lin Luo, Zi-Hao Zhou, Yi-Lin Zhang +3
cs.CVcs.LGarXiv:2601.19659v12026
Stochastic Rounding in Low-Precision Transformer Inference: A Variable-Precision Emulation Study of a Small GPT-2
Yohan Chatelain, Pablo de Oliveira Castro
cs.LGcs.CLarXiv:2610.01889v12026
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
Zhaorun Chen, Mintong Kang, Bo Li
cs.LGcs.CRarXiv:2503.22738v22025
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon, Prakhar Gupta +13
cs.CLcs.AIcs.LGarXiv:2303.17651v22023
Summaries:한국어
Learning under Concept Drift: A Review
Jie Lu, Anjin Liu, Fan Dong +3
cs.LGstat.MLarXiv:2004.05785v12020
Defending against Backdoors in Federated Learning with Robust Learning Rate
Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel
cs.LGcs.CRstat.MLarXiv:2007.03767v42020
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
cs.LGcs.AIcs.CVarXiv:2403.05175v12024
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
cs.LGcs.DSstat.MLarXiv:1209.3352v42012
LoGo: Token-Level Dynamic Local-Global Attention
Yuqi Pan, Zheng Li, Bohao Tang +2
cs.CLcs.LGarXiv:2608.29539v12026
Federated Graph Classification over Non-IID Graphs
Han Xie, Jing Ma, Li Xiong +1
cs.LGcs.AIcs.DCarXiv:2106.13423v52021
A Semantic Matching Energy Function for Learning with Multi-relational Data
Xavier Glorot, Antoine Bordes, Jason Weston +1
cs.LGarXiv:1301.3485v22013
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
Yuxiang Zheng, Dayuan Fu, Xiangkun Hu +4
cs.AIcs.CLcs.LGarXiv:2504.03160v42025
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan, Hanie Sedghi, Olga Saukh +2
cs.LGcs.AIcs.CVarXiv:2211.08403v32022
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Yunsheng Bai, Hao Ding, Yizhou Sun +1
cs.LGstat.MLarXiv:1809.04440v22018
Questioning the Questions: Sustaining Self-Evolution in Reasoning Models
Jinyuan Li, Chengsong Huang, Langlin Huang +4
cs.LGcs.AIcs.CLarXiv:2610.04299v12026
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot, Olivier Sigaud
cs.LGcs.NEstat.MLarXiv:1810.01222v32018
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Yanjie Ze, Gu Zhang, Kangning Zhang +3
cs.ROcs.CVcs.LGarXiv:2403.03954v72024
Are self-explanations from Large Language Models faithful?
Andreas Madsen, Sarath Chandar, Siva Reddy
cs.CLcs.AIcs.LGarXiv:2401.07927v42024
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
Guoxu Zhou, Andrzej Cichocki, Yu Zhang +1
cs.CVcs.LGarXiv:1212.3913v42012
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Hoda Heidari, Michele Loi, Krishna P. Gummadi +1
cs.LGecon.THstat.MLarXiv:1809.03400v22018
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal +10
cs.CVcs.AIcs.LGarXiv:2301.00493v12023
Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access
Liou Tang, James Joshi, Ashish Kundu
quant-phcs.LGarXiv:2609.05702v22026
CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks
Damilola Popoola, Souradeep Bhattacharya, Manimaran Govindarasu
cs.CRcs.AIcs.LGarXiv:2610.04286v12026
Verification of Deep Convolutional Neural Networks Using ImageStars
Hoang-Dung Tran, Stanley Bak, Weiming Xiang +1
cs.LGcs.CVarXiv:2004.05511v22020
An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Philippe Meyer, Guillaume Gricourt, Thomas Duigou +2
cs.CLcs.AIcs.LGarXiv:2608.30702v12026
Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement
Arthur Corrêa, Paulo Nascimento, Samuel Moniz
cs.LGarXiv:2608.24859v12026
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Zhibin Lu, Pan Du, Jian-Yun Nie
cs.CLcs.LGstat.MLarXiv:2004.05707v12020
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis +2
cs.CLcs.AIcs.LGarXiv:2102.12846v22021
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran +3
cs.LGstat.MLarXiv:1808.07632v22018
Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
Kenneth Li, Tianle Liu, Naomi Bashkansky +4
cs.CLcs.AIcs.LGarXiv:2402.10962v42024
General Intelligence Requires Reward-based Pretraining
Seungwook Han, Jyothish Pari, Samuel J. Gershman +1
cs.LGarXiv:2502.19402v32025
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
Zhongkai Hao, Chang Su, Songming Liu +6
cs.LGcs.NAmath.NAarXiv:2403.03542v42024
Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics
Yicong Li, Junjie Wang, Leander Lauenburg +5
cs.CVcs.AIcs.LGarXiv:2609.36492v12026
Omega-Regular Objectives in Model-Free Reinforcement Learning
Ernst Moritz Hahn, Mateo Perez, Sven Schewe +3
cs.LOcs.LGstat.MLarXiv:1810.00950v12018
High Accuracy and High Fidelity Extraction of Neural Networks
Matthew Jagielski, Nicholas Carlini, David Berthelot +2
cs.LGcs.CRstat.MLarXiv:1909.01838v22019
Deep Anomaly Detection with Deviation Networks
Guansong Pang, Chunhua Shen, Anton van den Hengel
cs.LGstat.MLarXiv:1911.08623v12019
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
Siyuan Guo, Cheng Deng, Ying Wen +3
cs.LGarXiv:2402.17453v52024
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Jan Peters +1
cs.ROcs.LGarXiv:2209.03855v42022
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
Ziyue Li, Yang Li, Tianyi Zhou
cs.LGarXiv:2606.06574v22026
A Survey on Large-scale Machine Learning
Meng Wang, Weijie Fu, Xiangnan He +2
cs.LGstat.MLarXiv:2008.03911v12020

Machine Learning

Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization

Complementary-Label Learning for Arbitrary Losses and Models

Assessing Generalization of SGD via Disagreement

Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Explainable Deep Learning Methods in Medical Image Classification: A Survey

Differentially Private Contextual Linear Bandits

On The Computational Complexity of Self-Attention

GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented Agents

FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior

Is Cosine-Similarity of Embeddings Really About Similarity?

Quantum machine learning: a classical perspective

The Faiss library

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

Unlearnable Examples: Making Personal Data Unexploitable

Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

How model accuracy and explanation fidelity influence user trust

Certifying Concept Unlearning in Text-to-Image Diffusion Models

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home

KeepLoRA: Continual Learning with Residual Gradient Adaptation

Stochastic Rounding in Low-Precision Transformer Inference: A Variable-Precision Emulation Study of a Small GPT-2

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning

Self-Refine: Iterative Refinement with Self-Feedback

Learning under Concept Drift: A Review

Defending against Backdoors in Federated Learning with Robust Learning Rate

Continual Learning and Catastrophic Forgetting

Thompson Sampling for Contextual Bandits with Linear Payoffs

LoGo: Token-Level Dynamic Local-Global Attention

Federated Graph Classification over Non-IID Graphs

A Semantic Matching Energy Function for Learning with Multi-relational Data

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

REPAIR: REnormalizing Permuted Activations for Interpolation Repair

Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching

Questioning the Questions: Sustaining Self-Evolution in Reasoning Models

CEM-RL: Combining evolutionary and gradient-based methods for policy search

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Are self-explanations from Large Language Models faithful?

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access

CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks

Verification of Deep Convolutional Neural Networks Using ImageStars

An Agentic Retrobiosynthesis Framework with Learned Frontier Selection

Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

Measuring and Controlling Instruction (In)Stability in Language Model Dialogs

General Intelligence Requires Reward-based Pretraining

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics

Omega-Regular Objectives in Model-Free Reinforcement Learning

High Accuracy and High Fidelity Extraction of Neural Networks

Deep Anomaly Detection with Deviation Networks

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs

A Survey on Large-scale Machine Learning