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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26,161 to 26,220 of 33,210

MoRA: MoE Pruning via Router Bias Learning and Expert Approximation
Yushuai Sun, Zikun Zhou, Lin Gao +2
cs.LGarXiv:2610.00367v12026
CRAW: Codec Robust Audio Watermarking
David Chernin, Ethan Fetaya
cs.SDcs.CRcs.LGarXiv:2609.03107v12026
SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper
Alexander Polok, Dominik Klement, Samuele Cornell +4
eess.AScs.LGarXiv:2601.19194v12026
Safety-oriented pedestrian trajectory prediction at urban intersections using time-to-collision and crossing-zone context
Erel Avineri, Yftach Gil, Yehudit Aperstein
cs.LGarXiv:2609.29706v12026
GAP-Prompt: Gated Adaptive Prompting for Efficient Continual Learning
Trung-Anh Dang, Duy-Cuong Bui, Ngoc-Son Vu +2
cs.LGarXiv:2608.23782v12026
Adaptive Model Inversion Attacks Generalize a Privacy-Robustness Tradeoff
Shailen Smith, Rasmus Torp, Adam Breuer
cs.LGcs.CRarXiv:2610.07677v12026
Open-world Machine Learning: Applications, Challenges, and Opportunities
Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury +1
cs.LGcs.AIarXiv:2105.13448v22021
Exploiting answer-invariant redundancies in satellite imagery for efficient VLM inference on edge
Ishani Janveja, Davis Zhang, Seoyul Oh +1
cs.CVcs.LGarXiv:2609.29029v12026
Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos
Qixiu Li, Yu Deng, Yaobo Liang +14
cs.ROcs.AIcs.CVarXiv:2510.21571v12025
Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition
Keisuke Onoue, Ryosuke Kojima
cs.LGarXiv:2609.09370v12026
Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO
Richard Y. Zhang
stat.MLcs.ITcs.LGarXiv:2608.29018v12026
Interpretable Information-Decomposed Brain Graph Learning for fMRI-based Disease Diagnosis
Dengyi Zhao, Zhiheng Zhou, Zihan Wang +2
q-bio.NCcs.LGarXiv:2608.20380v12026
SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis
Imtiaz Karim, Kazi Samin Mubasshir, Mirza Masfiqur Rahman +1
cs.IRcs.CRcs.LGarXiv:2301.09201v22023
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
cs.CLcs.LGarXiv:2005.02178v22020
MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning
Robert A. Lewis, I-Min Chiu, Kyle Verrier +7
cs.LGarXiv:2610.07662v12026
Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing
Ryan Babbush, Vasil Denchev, Nan Ding +2
cs.LGquant-pharXiv:1406.4203v12014
An Agnostic Sample Compression Scheme for Squared Loss of Near-Linear Size in the Fat-Shattering Dimension
Guangjian Zhang
cs.LGarXiv:2609.29696v12026
iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration
Xiaowei Jiang, Daniel Leong, Beining Cao +5
cs.LGcs.AIcs.HCarXiv:2608.14646v12026
OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models
Yida Xue, Ningyu Zhang, Tingwei Wu +5
cs.MMcs.AIcs.CLarXiv:2605.00877v22026
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
Baldur: Whole-Proof Generation and Repair with Large Language Models
Emily First, Markus N. Rabe, Talia Ringer +1
cs.LGcs.LOcs.SEarXiv:2303.04910v22023
Nullify: Null-Space Activation Steering for Training-Free LLM Unlearning
Wei Zhai, Xiang Liu, Qiang Huang +6
cs.LGcs.AIcs.CRarXiv:2610.10655v12026
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series
Mathias Berglund, Tapani Raiko, Mikko Honkala +3
cs.LGcs.NEarXiv:1504.01575v32015
APPO: Agentic Procedural Policy Optimization
Xucong Wang, Ziyu Ma, Yong Wang +5
cs.LGcs.AIarXiv:2606.12384v22026
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez +1
stat.MLcs.LGarXiv:1610.08452v22016
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He, Emir Ceyani, Keshav Balasubramanian +2
cs.LGarXiv:2106.02743v12021
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park, Kevin Frans, Benjamin Eysenbach +1
cs.LGcs.AIarXiv:2410.20092v22024
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Jörg Wagner, Jan Mathias Köhler, Tobias Gindele +3
cs.CVcs.LGarXiv:1908.02686v12019
On the Geometry of On-Policy Distillation
Zhennan Shen, Yanshu Li, Qingyu Yin +6
cs.LGcs.AIarXiv:2606.07082v32026
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong +8
cs.CVcs.LGarXiv:2105.13290v32021
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5
stat.MLcs.LGarXiv:1406.2661v12014
Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning
Zhicheng Yang, Zhijiang Guo, Yifan Song +5
cs.LGcs.AIarXiv:2605.07804v32026
FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs
Ze Sheng, Aleksandar Kezic, Zhicheng Chen +1
cs.AIcs.CRcs.LGarXiv:2608.25158v12026
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann, Eric R. Chan, Richard Tucker +2
cs.CVcs.GRcs.LGarXiv:2006.09662v12020
Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators
Han Zhang, Alexander Ogren, Cynthia Rudin +2
cs.LGcond-mat.mtrl-scics.CEarXiv:2609.08102v12026
Transforms for LLM Quantization: The Great Inversion and Format Co-Design
Ehsan Jokar
cs.LGcs.ITarXiv:2608.25188v12026
ReVeal: Self-Evolving Code Agents via Reliable Self-Verification
Yiyang Jin, Kunzhao Xu, Hang Li +4
cs.SEcs.LGarXiv:2506.11442v22025
Flow Equivariant Recurrent Neural Networks
T. Anderson Keller
cs.LGcs.CVarXiv:2507.14793v22025
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
cs.LGarXiv:2503.04975v12025
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks
Jialiang Zhao, Yuxiang Ma, Lirui Wang +1
cs.ROcs.CVcs.LGarXiv:2406.13640v32024
Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning
Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul Islam
cs.LGcs.AIarXiv:2609.27760v22026
Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition
Seokmin Lee, Yunghee Lee, Byeonghyun Pak +1
cs.CVcs.AIcs.LGarXiv:2603.13904v22026
Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning
Qingying Hao, Zikang Chen, Chuxuan Hu +4
cs.LGarXiv:2610.07628v12026
GTR: Gated Token Recurrence for Efficient Dense Prediction
Zhe Feng, Longfei Liu, Wei Liu +7
cs.CVcs.LGarXiv:2609.26590v22026
MLoRQ: Bridging Low-Rank and Quantization for Transformer Compression
Ofir Gordon, Ariel Lapid, Elad Cohen +3
cs.LGcs.CVarXiv:2507.09616v12025
Calibrate Before Use: Improving Few-Shot Performance of Language Models
Tony Z. Zhao, Eric Wallace, Shi Feng +2
cs.CLcs.LGarXiv:2102.09690v22021
MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers, Ximing Lu, Jack Hessel +5
cs.CVcs.CLcs.LGarXiv:2106.02636v32021
Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers
Xiaoyu Chen, Bo Shao, Tiangang Zhu +5
cs.LGcs.AIarXiv:2610.05974v12026
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
Stefan Hegselmann, Shannon Zejiang Shen, Florian Gierse +3
cs.CLcs.AIcs.LGarXiv:2402.15422v22024
VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities
Jiahao Shi, Edward Tsien, Yifeng Di +10
cs.CRcs.LGcs.SEarXiv:2609.08040v12026
Generative View Stitching
Chonghyuk Song, Michal Stary, Boyuan Chen +2
cs.CVcs.LGarXiv:2510.24718v32025
Difficulties with Evaluating a Deception Detector for AIs
Lewis Smith, Bilal Chughtai, Neel Nanda
cs.LGarXiv:2511.22662v22025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy, Akim Kotelnikov, Artem Babenko
cs.LGarXiv:2410.24210v32024
Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale
A. Sophia Koepke, Daniil Zverev, Shiry Ginosar +1
cs.CVcs.AIcs.LGarXiv:2604.18572v22026
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
cs.LGcs.CVq-bio.QMarXiv:2105.13137v12021
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu, Xiangfei Qiu, Zhengyu Li +5
cs.LGcs.AIarXiv:2410.12261v52024
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
Zhilin Wang, Jiaqi Zeng, Olivier Delalleau +6
cs.CLcs.AIcs.LGarXiv:2505.11475v22025
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
Kunal Handa, Alex Tamkin, Miles McCain +12
cs.CYcs.AIcs.CLarXiv:2503.04761v12025
Stochastic Parameter Decomposition
Lucius Bushnaq, Dan Braun, Lee Sharkey
cs.LGcs.AIarXiv:2506.20790v22025
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger, Chong Wang, Eric Xing
stat.MLcs.DCcs.LGarXiv:1311.4780v22013

Machine Learning

MoRA: MoE Pruning via Router Bias Learning and Expert Approximation

CRAW: Codec Robust Audio Watermarking

SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper

Safety-oriented pedestrian trajectory prediction at urban intersections using time-to-collision and crossing-zone context

GAP-Prompt: Gated Adaptive Prompting for Efficient Continual Learning

Adaptive Model Inversion Attacks Generalize a Privacy-Robustness Tradeoff

Open-world Machine Learning: Applications, Challenges, and Opportunities

Exploiting answer-invariant redundancies in satellite imagery for efficient VLM inference on edge

Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos

Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition

Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO

Interpretable Information-Decomposed Brain Graph Learning for fMRI-based Disease Diagnosis

SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization

MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning

Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing

An Agnostic Sample Compression Scheme for Squared Loss of Near-Linear Size in the Fat-Shattering Dimension

iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration

OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models

Federated Multi-Task Learning under a Mixture of Distributions

Baldur: Whole-Proof Generation and Repair with Large Language Models

Nullify: Null-Space Activation Steering for Training-Free LLM Unlearning

Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series

APPO: Agentic Procedural Policy Optimization

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

OGBench: Benchmarking Offline Goal-Conditioned RL

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

On the Geometry of On-Policy Distillation

CogView: Mastering Text-to-Image Generation via Transformers

Generative Adversarial Networks

Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning

FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs

MetaSDF: Meta-learning Signed Distance Functions

Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators

Transforms for LLM Quantization: The Great Inversion and Format Co-Design

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification

Flow Equivariant Recurrent Neural Networks

Energy-Weighted Flow Matching for Offline Reinforcement Learning

Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks

Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition

Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning

GTR: Gated Token Recurrence for Efficient Dense Prediction

MLoRQ: Bridging Low-Rank and Quantization for Transformer Compression

Calibrate Before Use: Improving Few-Shot Performance of Language Models

MERLOT: Multimodal Neural Script Knowledge Models

Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities

Generative View Stitching

Difficulties with Evaluating a Deception Detector for AIs

TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching

HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages

Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations

Stochastic Parameter Decomposition

Asymptotically Exact, Embarrassingly Parallel MCMC