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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4,441 to 4,500 of 20,192

An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu, Jian Tang, Jingbo Shang +3
cs.SIcs.LGstat.MLarXiv:1709.06636v12017
Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes
Amrith Setlur, Zijian Wang, Andrew Cohen +2
cs.LGcs.AIcs.CLarXiv:2601.18795v22026
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
Yifeng Xiong, Jiadong Lin, Min Zhang +2
cs.LGcs.CRcs.CVarXiv:2111.10752v22021
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina +1
cs.LGcs.CVarXiv:1905.12107v12019
Hyperbolic Graph Attention Network
Yiding Zhang, Xiao Wang, Xunqiang Jiang +2
cs.LGstat.MLarXiv:1912.03046v12019
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang Gu, Timothy Lillicrap, Zoubin Ghahramani +3
cs.LGcs.AIcs.ROarXiv:1706.00387v12017
Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents
Luiz C. Borro, Luiz A. B. Macarini, Gordon Tindall +2
cs.LGarXiv:2603.19935v12026
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
Jinhao Duan, Hao Cheng, Shiqi Wang +5
cs.CLcs.AIcs.LGarXiv:2307.01379v32023
Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale
Zheng Hu, Yuxin Chen, Yongsen Pan +13
cs.IRcs.LGarXiv:2603.00632v12026
How Language Models Choose Sides: Internal Representations of Instruction Hierarchy
Enrique Balp-Straffon, Chih-Hao Hsu, Rushiraj Gadhvi +3
cs.AIcs.CLcs.LGarXiv:2608.28648v12026
Tweet2Vec: Character-Based Distributed Representations for Social Media
Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick +2
cs.LGcs.CLarXiv:1605.03481v22016
PLeak: Prompt Leaking Attacks against Large Language Model Applications
Bo Hui, Haolin Yuan, Neil Gong +2
cs.CRcs.AIcs.LGarXiv:2405.06823v32024
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang, Yuanming Hu, Tao Du +4
cs.LGcs.AIcs.CVarXiv:2104.03311v12021
The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning
Dylan Jayabahu, Tinuade Adeleke
cs.LGcs.AIcs.CLarXiv:2608.28859v12026
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
Xinyu Wang, Yong Jiang, Nguyen Bach +4
cs.CLcs.AIcs.LGarXiv:2105.03654v32021
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas, Aaron Courville
cs.CVcs.LGarXiv:1904.12165v12019
Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries
Yanhang Li, Zhichao Fan, Zexin Zhuang
cs.LGcs.AIarXiv:2605.18891v12026
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
Ilya Verenich, Marlon Dumas, Marcello La Rosa +2
cs.AIcs.LGarXiv:1805.02896v22018
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker +2
cs.LGcs.IRstat.MLarXiv:2008.09340v12020
MoE Lens -- An Expert Is All You Need
Marmik Chaudhari, Idhant Gulati, Nishkal Hundia +2
cs.LGarXiv:2603.05806v12026
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne +4
cs.AIcs.LGarXiv:2111.07786v22021
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen, Yushuang Wu, Qiyuan Dai +5
cs.CVcs.AIcs.LGarXiv:2209.13232v42022
SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling
Yiqi Zhang, Huiqiang Jiang, Xufang Luo +7
cs.LGcs.AIarXiv:2603.23414v12026
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
Alon Talmor, Ori Yoran, Ronan Le Bras +4
cs.CLcs.AIcs.LGarXiv:2201.05320v12022
Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models
Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis +18
cs.CRcs.LGarXiv:2312.04724v12023
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
Zhuang Ma, Michael Collins
cs.CLcs.LGstat.MEarXiv:1809.01812v12018
KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
Qitong Sun, Jun Han, Tianlin Li +6
cs.LGcs.AIcs.MAarXiv:2603.10085v12026
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
Nilaksh, Saurav Jha, Artem Zholus +1
cs.CVcs.LGcs.ROarXiv:2605.06388v12026
On the linearity of large non-linear models: when and why the tangent kernel is constant
Chaoyue Liu, Libin Zhu, Mikhail Belkin
cs.LGstat.MLarXiv:2010.01092v32020
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop
Dmitry Kovalev, Samuel Horvath, Peter Richtarik
cs.LGmath.OCstat.MLarXiv:1901.08689v22019
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
Nam Huynh, Beiyu Lin
cs.SEcs.LGarXiv:2503.01245v22025
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
Chen Feng, Minghe Shen, Ananth Balashankar +2
cs.LGcs.AIcs.CVarXiv:2601.20913v12026
CORE: Context-Robust Remasking for Diffusion Language Models
Kevin Zhai, Sabbir Mollah, Zhenyi Wang +1
cs.LGarXiv:2602.04096v32026
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu +2
cs.LGcs.AIstat.MLarXiv:1901.09993v32019
Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO
Richard Y. Zhang
stat.MLcs.ITcs.LGarXiv:2608.29018v12026
Scaling Beyond Masked Diffusion Language Models
Subham Sekhar Sahoo, Jean-Marie Lemercier, Zhihan Yang +4
cs.LGcs.CLarXiv:2602.15014v12026
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su, Xumin Zuo, Rui Li +3
cs.LGcs.AIarXiv:2310.20218v12023
Variance-Reduced and Projection-Free Stochastic Optimization
Elad Hazan, Haipeng Luo
cs.LGarXiv:1602.02101v22016
Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline
Jiawei Xu, Arief Koesdwiady, Sisong Bei +8
cs.MAcs.CLcs.LGarXiv:2601.12307v12026
Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
Zehong Wang, Fang Wu, Hongru Wang +8
cs.AIcs.CLcs.LGarXiv:2601.22311v12026
GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training
Yuan Cao, Dezhi Ran, Mengzhou Wu +9
cs.AIcs.LGarXiv:2602.14093v12026
MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation
Xiangyu Liu, Zeting Yan, Zhitong Yin +2
cs.LGarXiv:2608.29304v12026
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho +6
stat.MLcs.DCcs.IRarXiv:1412.1576v12014
Tropical Geometry of Deep Neural Networks
Liwen Zhang, Gregory Naitzat, Lek-Heng Lim
cs.LGmath.AGstat.MLarXiv:1805.07091v12018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Kartik Hegde, Jiyong Yu, Rohit Agrawal +3
cs.NEcs.LGarXiv:1804.06508v12018
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Ang Li, Yin Zhou, Vethavikashini Chithrra Raghuram +2
cs.LGcs.AIarXiv:2502.08586v12025
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
Zhongzheng Qiao, Sheng Pan, Anni Wang +7
cs.LGarXiv:2602.12147v42026
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design
Ruijin Cang, Yaopengxiao Xu, Shaohua Chen +3
cond-mat.mtrl-scics.LGstat.MLarXiv:1612.07401v32016
Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions
Haijie Xu, Chen Zhang
stat.MLcs.LGarXiv:2608.28991v12026
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Yichen Wu, Yair Rivenson, Yibo Zhang +4
cs.CVcs.LGphysics.opticsarXiv:1803.08138v12018
A Spectral Identifiability Threshold for Dissipative Rate Recovery from Truncated Liouvillian Spectra
Yujun Ji, Somyajit Chakraborty
cs.LGphysics.comp-phquant-pharXiv:2608.29302v12026
Limits of trust in medical AI
Joshua Hatherley
cs.LGcs.AIcs.CYarXiv:2503.16692v22025
Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks
Pravin Game, Vipin Ramakrishnan, Prathamesh Wagh
cs.LGcs.AIarXiv:2608.29096v12026
An effective algorithm for hyperparameter optimization of neural networks
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini +1
cs.AIcs.LGcs.NEarXiv:1705.08520v12017
Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts
Saman Rahbar, Xiliang Zhu, Irvin Cardoza +1
cs.CLcs.AIcs.LGarXiv:2609.00330v12026
Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow
Kuo Liang, Yuhang Lu, Jianming Mao +7
cs.AIcs.LGarXiv:2601.09635v32026
MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning
Xiaoliang Fu, Jiaye Lin, Yangyi Fang +7
cs.LGcs.AIarXiv:2602.17550v32026
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Vittorio Mazzia, Simone Angarano, Francesco Salvetti +2
cs.CVcs.LGarXiv:2107.00606v62021
KernelFoundry: Hardware-aware evolutionary GPU kernel optimization
Nina Wiedemann, Quentin Leboutet, Michael Paulitsch +2
cs.DCcs.LGarXiv:2603.12440v22026
Temperature-Adaptive Transformed Teacher Matching
Hiroaki Aizawa, Yoshikazu Hayashi
cs.LGcs.CVarXiv:2608.29099v12026

Machine Learning

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers

Hyperbolic Graph Attention Network

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning

Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale

How Language Models Choose Sides: Internal Representations of Instruction Hierarchy

Tweet2Vec: Character-Based Distributed Representations for Social Media

PLeak: Prompt Leaking Attacks against Large Language Model Applications

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics

The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

Improved Conditional VRNNs for Video Prediction

Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

MoE Lens -- An Expert Is All You Need

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective

SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models

Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

On the linearity of large non-linear models: when and why the tangent kernel is constant

Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop

Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications

Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges

CORE: Context-Robust Remasking for Diffusion Language Models

Label Efficient Semi-Supervised Learning via Graph Filtering

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

Scaling Beyond Masked Diffusion Language Models

A Systematic Review for Transformer-based Long-term Series Forecasting

Variance-Reduced and Projection-Free Stochastic Optimization

Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents

GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training

MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation

LightLDA: Big Topic Models on Modest Compute Clusters

Tropical Geometry of Deep Neural Networks

UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks

Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design

Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery

A Spectral Identifiability Threshold for Dissipative Rate Recovery from Truncated Liouvillian Spectra

Limits of trust in medical AI

Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks

An effective algorithm for hyperparameter optimization of neural networks

Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts

Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

KernelFoundry: Hardware-aware evolutionary GPU kernel optimization

Temperature-Adaptive Transformed Teacher Matching