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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24,241 to 24,300 of 33,450

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Zhiheng Xi, Xin Guo, Yang Nan +18
cs.LGcs.AIcs.CLarXiv:2510.18927v12025
Multimodal Federated Learning via Contrastive Representation Ensemble
Qiying Yu, Yang Liu, Yimu Wang +2
cs.LGcs.AIarXiv:2302.08888v32023
Biomedical Entity Representations with Synonym Marginalization
Mujeen Sung, Hwisang Jeon, Jinhyuk Lee +1
cs.CLcs.LGarXiv:2005.00239v12020
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
eess.AScs.AIcs.LGarXiv:1709.06298v22017
Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application
Weiran Wang, Miguel Á. Carreira-Perpiñán
cs.LGmath.OCstat.MLarXiv:1309.1541v12013
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang +2
cs.LGcs.AIcs.CLarXiv:2306.04637v22023
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan J. Foster, Alexander Rakhlin
cs.LGmath.STstat.MLarXiv:2002.04926v22020
Clean Accuracy Does Not Guarantee Provenance Robustness: A Prospective Codec-Stress Evaluation of Audio Attribution
Gang Shi
cs.SDcs.LGarXiv:2609.07981v12026
RAGenome: Scaling Retrieval-Based Genomic Language Models to Long Contexts
Frederikke Isa Marin, Panagiotis Antoniadis, Dionysia Danai Brilli +5
cs.LGarXiv:2610.11761v12026
A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models
Ivan Moloshnikov, Dmitry Kunitsyn, Alexander Sboev +3
cs.AIcs.CLcs.LGarXiv:2610.13663v12026
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu, Zhe Gan, Ricardo Henao +4
stat.MLcs.LGarXiv:1609.08976v12016
Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria
Simon Heilig, Jens Püttschneider, Mohammad Itani +2
cs.LGcs.SYeess.SYarXiv:2610.01356v12026
The Ball and the Box: Two Geometries of Computation in Superposition
Xiaoyu Li, Lequan Lin, Dai Shi +3
cs.LGarXiv:2610.11744v12026
ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs
Ahin Lee, Sehyun Yun, Joonha Park +1
cs.LGcs.AIcs.CLarXiv:2609.06072v12026
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
cs.CVcs.AIcs.LGarXiv:2302.12251v22023
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3
cs.IRcs.AIcs.LGarXiv:2108.06625v22021
Rotary Position Embedding for Vision Transformer
Byeongho Heo, Song Park, Dongyoon Han +1
cs.CVcs.LGarXiv:2403.13298v22024
VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics
Fan-Sheng Chuang, Xuchen Li, Yujing Bian +1
cs.LGcs.AIarXiv:2608.25841v12026
In-Context Multiple Instance Learning
Alexander Möllers, Marvin Sextro, Julius Hense +2
cs.LGcs.AIcs.CVarXiv:2606.06458v12026
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach, Bryan He, Alexander Ratner +1
cs.LGstat.MLarXiv:1703.00854v22017
Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning
Ananyaa Chopra, Brandon Xu, Brendan Yuen +2
cs.LGarXiv:2608.30364v12026
Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning
Krzysztof M. Graczyk, Maciej Matyka
physics.comp-phcond-mat.dis-nncs.LGarXiv:2007.02820v12020
Co$^2$L: Contrastive Continual Learning
Hyuntak Cha, Jaeho Lee, Jinwoo Shin
cs.LGcs.CVarXiv:2106.14413v12021
RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting
Yuchen He, Yueyang Cang, Zhiyuan Ning +2
cs.LGcs.AIarXiv:2609.03937v12026
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Anisha Gunjal, Anthony Wang, Elaine Lau +4
cs.LGcs.AIcs.CLarXiv:2507.17746v22025
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang, David Defazio, Arti Ramesh
cs.LGstat.MLarXiv:2006.00305v12020
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu, Kwang-Ting Cheng, Dong Huang +2
cs.CVcs.AIcs.LGarXiv:2111.14826v22021
CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation
Varun Gadey, Ziad Marey, Alexandra Dmitrienko
cs.CRcs.LGarXiv:2609.02774v12026
On the Global Convergence Rates of Softmax Policy Gradient Methods
Jincheng Mei, Chenjun Xiao, Csaba Szepesvari +1
cs.LGstat.MLarXiv:2005.06392v32020
Random-Set Graph Neural Networks
Tommy Woodley, Shireen Kudukkil Manchingal, Matteo Tolloso +2
cs.AIcs.LGstat.AParXiv:2605.11987v12026
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Minki Kang, Jin Myung Kwak, Jinheon Baek +1
cs.CLcs.AIcs.LGarXiv:2305.18846v12023
Sliced Gromov-Wasserstein
Titouan Vayer, Rémi Flamary, Romain Tavenard +2
stat.MLcs.LGarXiv:1905.10124v42019
Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning
Sachi Shome, William Eiers
cs.LGarXiv:2609.40312v12026
Wireless Interference Identification with Convolutional Neural Networks
Malte Schmidt, Dimitri Block, Uwe Meier
cs.LGcs.CVarXiv:1703.00737v12017
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Kohler, Hadi Daneshmand, Aurelien Lucchi +3
stat.MLcs.LGarXiv:1805.10694v32018
Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
D. K. C. Senevirathna, A. A. E. Nanayakkara, H. M. C. K. Kulathunga +7
cs.AIcs.LGcs.SDarXiv:2608.27480v12026
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim, Dongwon Park, Kwang In Kim +1
cs.LGstat.MLarXiv:2002.04709v22020
Federated Learning of Gboard Language Models with Differential Privacy
Zheng Xu, Yanxiang Zhang, Galen Andrew +5
cs.LGcs.CRarXiv:2305.18465v22023
FastKernels: Benchmarking GPU Kernel Generation in Production
Gabriele Oliaro, Yichao Fu, May Jiang +5
cs.LGcs.AIcs.CLarXiv:2605.23215v12026
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Nantas Nardelli, Gregory Farquhar +4
cs.AIcs.LGcs.MAarXiv:1702.08887v32017
Can Jev be Your Q or Policy in Reinforcement Learning?
Yi Ma, Tianpei Yang, Yaodong Yang +2
cs.LGcs.AIarXiv:2610.11692v12026
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zheng Lin, Guanqiao Qu, Wei Wei +2
cs.LGcs.AIcs.DCarXiv:2403.13101v42024
How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text
Jenna Russell, Ben Glickenhaus, Katherine Thai +4
cs.CLcs.LGarXiv:2609.40295v12026
TritonRL: Training LLMs to Think and Code Triton Without Cheating
Jiin Woo, Shaowei Zhu, Allen Nie +3
cs.SEcs.LGarXiv:2510.17891v22025
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon +2
cs.LGcs.AIarXiv:2305.16317v32023
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
cs.LGcs.AIcs.CRarXiv:2310.07579v42023
From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Zhengshen Zhang, Hao Li, Yalun Dai +10
cs.ROcs.AIcs.CVarXiv:2510.17439v32025
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
Weiwei Hu, Ying Tan
cs.LGcs.CRarXiv:1702.05983v12017
$\sigma$Transfer: Uncertainty Transfer from Small to Large Networks under $\mu\mathrm{P}$
Richard Bergna, Fernando Ruiz Mazo, Nicolò Felicioni +2
stat.MLcs.LGarXiv:2610.11668v12026
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
Zhao Mandi, Shreeya Jain, Shuran Song
cs.ROcs.AIcs.LGarXiv:2307.04738v12023
Expanding the Capabilities of Reinforcement Learning via Text Feedback
Yuda Song, Lili Chen, Fahim Tajwar +5
cs.LGarXiv:2602.02482v22026
Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models
Linghan Chen, Kaiyan Ji, Minyu Guo
cs.LGcs.AIcs.CRarXiv:2606.22966v12026
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil. S Kanhere +2
cs.LGcs.AIstat.MLarXiv:1905.10069v12019
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng, Juntao Tan, Shuchang Liu +2
cs.IRcs.AIcs.HCarXiv:2305.14302v22023
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian +9
cs.ROcs.LGeess.SYarXiv:2005.14679v12020
Edge Accuracy Is Not Enough: Why Dynamics-Learned Structure Fails to Transfer to Inverse Problems
Nicholas Tan Jerome, Fangnian Wang
cs.LGarXiv:2610.10213v12026
Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
Jingbo Gong, Yikai Wang, Yushi Lan +6
cs.CVcs.AIcs.LGarXiv:2606.06601v12026
ExperienceIndex: Artifact-Grounded Memory
Peter Baile Chen, Geoffrey X. Yu, Xinming Liu +5
cs.CLcs.AIcs.IRarXiv:2610.10091v12026

Machine Learning

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Multimodal Federated Learning via Contrastive Representation Ensemble

Biomedical Entity Representations with Synonym Marginalization

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles

Clean Accuracy Does Not Guarantee Provenance Robustness: A Prospective Codec-Stress Evaluation of Audio Attribution

RAGenome: Scaling Retrieval-Based Genomic Language Models to Long Contexts

A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria

The Ball and the Box: Two Geometries of Computation in Superposition

ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs

VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Rotary Position Embedding for Vision Transformer

VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics

In-Context Multiple Instance Learning

Learning the Structure of Generative Models without Labeled Data

Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning

Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning

Co$^2$L: Contrastive Continual Learning

RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reward-free Alignment for Conflicting Objectives

RelEx: A Model-Agnostic Relational Model Explainer

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation

CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation

On the Global Convergence Rates of Softmax Policy Gradient Methods

Random-Set Graph Neural Networks

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

Sliced Gromov-Wasserstein

Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning

Wireless Interference Identification with Convolutional Neural Networks

Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization

Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

Task-Aware Variational Adversarial Active Learning

Federated Learning of Gboard Language Models with Differential Privacy

FastKernels: Benchmarking GPU Kernel Generation in Production

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Can Jev be Your Q or Policy in Reinforcement Learning?

AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks

How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text

TritonRL: Training LLMs to Think and Code Triton Without Cheating

Parallel Sampling of Diffusion Models

In-Context Unlearning: Language Models as Few Shot Unlearners

From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors

Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN

$\sigma$Transfer: Uncertainty Transfer from Small to Large Networks under $\mu\mathrm{P}$

RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Expanding the Capabilities of Reinforcement Learning via Text Feedback

Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models

STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

VIP5: Towards Multimodal Foundation Models for Recommendation

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

Edge Accuracy Is Not Enough: Why Dynamics-Learned Structure Fails to Transfer to Inverse Problems

Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

ExperienceIndex: Artifact-Grounded Memory