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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27,361 to 27,420 of 33,119

Simplex Diffusion Models
Justin Deschenaux, Alexandre Galashov, Andrew Campbell +4
cs.LGstat.MLarXiv:2609.35553v12026
FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
Jingyi li, Weiping tu, Li xiao
cs.SDcs.LGeess.ASarXiv:2210.15418v12022
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh, Jichan Chung, Dong Yin +1
stat.MLcs.LGarXiv:2006.04088v22020
To FP8 and Back Again: Quantifying Reduced Precision Effects on LLM Training Stability
Joonhyung Lee, Jeongin Bae, Byeongwook Kim +2
cs.LGcs.AIarXiv:2405.18710v22024
A Survey of Machine Unlearning
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren +4
cs.LGcs.AIarXiv:2209.02299v62022
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang, Sihao Hu, Fatih Ilhan +2
cs.LGarXiv:2405.18641v52024
Explainable Rule Mining of IPv6 Extension-Header Presence Patterns from Paired-Vantage Captures
Priyanka Sinha, Nikolaos Kekatos, Stylianos Basagiannis +5
cs.CRcs.LGcs.NIarXiv:2610.08090v12026
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen, Ruochen Wang, Minhao Cheng +2
cs.LGcs.CVstat.MLarXiv:2006.10355v42020
Universal Byte-Level Encoding: UTF-8/UTF-16 Routing to Reduce Cross-Script Token-Budget Disparities
Hyunsik Kim, Youngmoon Jung
cs.CLcs.LGarXiv:2610.01984v12026
Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks
Xiaoyu Li, Zhizhou Sha, Jiaojiao Jiang +2
cs.LGstat.MLarXiv:2609.09130v12026
Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
Jiawen Zhang, Lipeng He, Kejia Chen +4
cs.LGcs.AIarXiv:2601.01887v22026
Neural Spectral Capacity: Measuring and Designing Architectures from Network Specification Alone
Chenyu Zhu, Ruoyu Zhao, Zhichao Lu
cs.LGcs.AIarXiv:2609.23087v12026
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Xingyu Xie, Pan Zhou, Huan Li +2
cs.LGmath.OCarXiv:2208.06677v52022
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Xiaoxin He, Yijun Tian, Yifei Sun +5
cs.LGarXiv:2402.07630v32024
Don't Forget to Connect! Improving RAG with Graph-based Reranking
Jialin Dong, Bahare Fatemi, Bryan Perozzi +2
cs.CLcs.AIcs.LGarXiv:2405.18414v12024
Training-Free Diffusion Planning with Analytical Local Scores
Michael Y. Fatemi, Jinhao Liang, Ferdinando Fioretto
cs.ROcs.LGarXiv:2610.01959v12026
EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression
Motahare Mounesan, Irfan Khan
cs.LGcs.DCarXiv:2609.11058v12026
Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
Bo Wang, Qinyuan Cheng, Runyu Peng +7
cs.LGcs.AIcs.CLarXiv:2507.00018v22025
Do Your Own Research: Learning to Forecast by Learning to Search
Yusuf Afifi, Artur Kiulian, Anton Polishko +3
cs.LGarXiv:2610.01955v12026
Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight
Haoxiang Zhang, Qinglin Chen, Hiroaki Hayashi +9
cs.AIcs.CLcs.IRarXiv:2610.08077v12026
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Xuekang Wang, Zhuoyuan Hao, Shuo Hou +3
cs.LGcs.AIcs.CLarXiv:2606.04923v22026
Discovering Language Model Behaviors with Model-Written Evaluations
Ethan Perez, Sam Ringer, Kamilė Lukošiūtė +60
cs.CLcs.AIcs.LGarXiv:2212.09251v12022
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies
Yair Weiss, Chen Yanover, Talya Meltzer
cs.AIcs.LGstat.MLarXiv:1206.5286v12012
EmbraceNet: A robust deep learning architecture for multimodal classification
Jun-Ho Choi, Jong-Seok Lee
cs.LGstat.MLarXiv:1904.09078v12019
On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points
Chi Jin, Praneeth Netrapalli, Rong Ge +2
cs.LGmath.OCstat.MLarXiv:1902.04811v22019
Proving Test Set Contamination in Black Box Language Models
Yonatan Oren, Nicole Meister, Niladri Chatterji +2
cs.CLcs.LGarXiv:2310.17623v22023
AutoPSV: Automated Process-Supervised Verifier
Jianqiao Lu, Zhiyang Dou, Hongru Wang +4
cs.CLcs.LGarXiv:2405.16802v42024
Graph Representation via Elements of Discrete Morse and Cobordism Theories
Jennifer Rozenblit, Chenguang Yang, Yuxin Liu +2
cs.LGmath.GNarXiv:2610.01937v12026
A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation
Huan Qing
stat.MLcs.LGstat.MEarXiv:2609.09211v12026
Fractal Generative Models
Tianhong Li, Qinyi Sun, Lijie Fan +1
cs.LGcs.CVarXiv:2502.17437v22025
Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
Parsa Moradi, Mohammad Ali Maddah-Ali
cs.LGcs.ITarXiv:2609.00552v12026
Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban, Ching-An Cheng, Nathan Hatch +1
cs.LGstat.MLarXiv:1810.10667v22018
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic +1
cs.LGcs.CVarXiv:2206.09012v32022
Zamba: A Compact 7B SSM Hybrid Model
Paolo Glorioso, Quentin Anthony, Yury Tokpanov +4
cs.LGcs.AIcs.CLarXiv:2405.16712v12024
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei +2
cs.LGcs.AIarXiv:2102.03322v42021
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang +8
cs.CVcs.AIcs.CLarXiv:2405.15973v42024
DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
Seongheon Park, Heecheol Kim, Shulin Tian +5
cs.ROcs.AIcs.LGarXiv:2610.04933v12026
OptLLM: Optimal Assignment of Queries to Large Language Models
Yueyue Liu, Hongyu Zhang, Yuantian Miao +2
cs.SEcs.CLcs.LGarXiv:2405.15130v12024
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov +1
cs.LGcs.CLcs.CVarXiv:1909.12673v22019
Generating 3D Adversarial Point Clouds
Chong Xiang, Charles R. Qi, Bo Li
cs.CRcs.CVcs.LGarXiv:1809.07016v42018
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Yiwei Lyu, Tiange Luo, Jiacheng Shi +2
cs.CLcs.AIcs.LGarXiv:2305.19512v22023
Fitting and Learning Basis-Restricted Propositional Formulas
Balder ten Cate
cs.LOcs.LGarXiv:2609.08961v12026
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park, Andrey Kan, Xin Luna Dong +2
cs.LGcs.IRstat.MLarXiv:1905.08865v22019
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Juan Rocamonde, Victoriano Montesinos, Elvis Nava +2
cs.LGcs.AIarXiv:2310.12921v22023
The multi-armed bandit problem with covariates
Vianney Perchet, Philippe Rigollet
math.STcs.LGstat.MLarXiv:1110.6084v32011
Learning from Hetero Density for Cryo-EM Protein Reconstruction
Xu Han, Chaozhuo Li, Xiaowei Yuan +3
cs.LGarXiv:2610.11403v12026
LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
Penghui Yang, Cunxiao Du, Fengzhuo Zhang +4
cs.CLcs.AIcs.LGarXiv:2502.17421v42025
Same Reward, Different Skills: When Multimodal RL Learns to Look
Haocun Ye, Xinlong Jiang, Qile Chen +6
cs.LGarXiv:2610.01908v12026
Efficient Private ERM for Smooth Objectives
Jiaqi Zhang, Kai Zheng, Wenlong Mou +1
cs.LGcs.DSstat.MLarXiv:1703.09947v22017
The VGLC: The Video Game Level Corpus
Adam James Summerville, Sam Snodgrass, Michael Mateas +1
cs.HCcs.AIcs.LGarXiv:1606.07487v22016
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad, Peter Hase, Xiang Zhou +1
cs.CLcs.AIcs.LGarXiv:2203.07281v22022
The Learning and Prediction of Application-level Traffic Data in Cellular Networks
Rongpeng Li, Zhifeng Zhao, Jianchao Zheng +3
cs.NIcs.LGarXiv:1606.04778v22016
Asynchronous LLM Post-Training: Group-Mass Capping and Convergence Analysis
Qijia He, Ruinan Jin, Jun Luo +2
cs.LGcs.AIarXiv:2610.01896v12026
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu +6
cs.DCcs.LGarXiv:2105.07806v12021
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu, Han Hu, Yue Cao +2
cs.CVcs.LGarXiv:2007.01294v12020
I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models
Aydin Javadov, Daniel Schoess, Florian von Wangenheim
cs.LGcs.CLcs.CVarXiv:2609.07596v22026
CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound
Marcel Gibier, Thomas Thebaud, Olivier Boëffard +1
cs.SDcs.LGarXiv:2610.10208v12026
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data
Qi Zhu, Natalia Ponomareva, Jiawei Han +1
cs.LGarXiv:2108.01099v22021
Stable On-Policy Distillation through Adaptive Target Reformulation
Ijun Jang, Jewon Yeom, Juan Yeo +2
cs.LGcs.AIarXiv:2601.07155v32026
Summaries:한국어
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
stat.MLcs.LGarXiv:1701.05369v32017

Machine Learning

Simplex Diffusion Models

FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

An Efficient Framework for Clustered Federated Learning

To FP8 and Back Again: Quantifying Reduced Precision Effects on LLM Training Stability

A Survey of Machine Unlearning

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Explainable Rule Mining of IPv6 Extension-Header Presence Patterns from Paired-Vantage Captures

DrNAS: Dirichlet Neural Architecture Search

Universal Byte-Level Encoding: UTF-8/UTF-16 Routing to Reduce Cross-Script Token-Budget Disparities

Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks

Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance

Neural Spectral Capacity: Measuring and Designing Architectures from Network Specification Alone

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Don't Forget to Connect! Improving RAG with Graph-based Reranking

Training-Free Diffusion Planning with Analytical Local Scores

EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections

Do Your Own Research: Learning to Forecast by Learning to Search

Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Discovering Language Model Behaviors with Model-Written Evaluations

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies

EmbraceNet: A robust deep learning architecture for multimodal classification

On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points

Proving Test Set Contamination in Black Box Language Models

AutoPSV: Automated Process-Supervised Verifier

Graph Representation via Elements of Discrete Morse and Cobordism Theories

A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation

Fractal Generative Models

Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing

Truncated Back-propagation for Bilevel Optimization

Diffusion models as plug-and-play priors

Zamba: A Compact 7B SSM Hybrid Model

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement

DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling

OptLLM: Optimal Assignment of Queries to Large Language Models

A Constructive Prediction of the Generalization Error Across Scales

Generating 3D Adversarial Point Clouds

Fine-grained Text Style Transfer with Diffusion-Based Language Models

Fitting and Learning Basis-Restricted Propositional Formulas

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

The multi-armed bandit problem with covariates

Learning from Hetero Density for Cryo-EM Protein Reconstruction

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

Same Reward, Different Skills: When Multimodal RL Learns to Look

Efficient Private ERM for Smooth Objectives

The VGLC: The Video Game Level Corpus

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

The Learning and Prediction of Application-level Traffic Data in Cellular Networks

Asynchronous LLM Post-Training: Group-Mass Capping and Convergence Analysis

Towards Demystifying Serverless Machine Learning Training

A Closer Look at Local Aggregation Operators in Point Cloud Analysis

I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models

CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data

Stable On-Policy Distillation through Adaptive Target Reformulation

Variational Dropout Sparsifies Deep Neural Networks