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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23,761 to 23,820 of 33,235

Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie, Wei Huang, Lorenzo Bucci +2
cs.LGstat.MLarXiv:1907.12972v32019
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon, Sumin Shin, Sung Ju Hwang +1
cs.LGcs.AIcs.CVarXiv:2107.00233v12021
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang +3
cs.CRcs.LGstat.MLarXiv:2005.02205v22020
Dimension-Free Rank Lifting from Random Hyperplane Arrangements
Luca Becchetti, Matteo Russo, Ruben Skorupinski
cs.LGmath.PRarXiv:2609.39855v12026
How Strongly Should Task State Influence an LLM Agent?
Chenyu Zhang, Wonbin Kweon, Jiawei Han
cs.AIcs.CLcs.LGarXiv:2609.25686v12026
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard +2
cs.LGcs.AIcs.CEarXiv:2510.23667v12025
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel +1
cs.LGcs.AIarXiv:1702.08165v22017
Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro
Aleksandra Osowska-Kurczab, Klaudia Nazarko, Eliška Kosturová +2
cs.IRcs.AIcs.LGarXiv:2609.05063v12026
Interventional Few-Shot Learning
Zhongqi Yue, Hanwang Zhang, Qianru Sun +1
cs.LGcs.CVarXiv:2009.13000v22020
DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models
Zhuoming Liu, Jinhong Lin, Kwan Man Cheng +3
cs.CVcs.AIcs.LGarXiv:2606.05758v12026
Local and Global Stability in Performative Reinforcement Learning
Debmalya Mandal
cs.LGarXiv:2609.06467v12026
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
Ella Neeman, Roee Aharoni, Or Honovich +3
cs.CLcs.AIcs.LGarXiv:2211.05655v12022
Can LLMs Reason Over Long Horizons? An Empirical Evaluation of Context Strategies for Longitudinal Clinical Reasoning
Taye Akinrele, Noorbakhsh Amiri Golilarz, Subash Neupane +2
cs.CLcs.AIcs.LGarXiv:2610.00562v12026
Residual Policy Learning
Tom Silver, Kelsey Allen, Josh Tenenbaum +1
cs.ROcs.LGarXiv:1812.06298v22018
Dynamic Speculative Agent Planning
Yilin Guan, Qingfeng Lan, Sun Fei +5
cs.AIcs.LGcs.MAarXiv:2509.01920v32025
On the Importance of Exploration for Generalization in Reinforcement Learning
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
cs.LGarXiv:2306.05483v12023
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale +3
cs.LGstat.MLarXiv:1402.0555v22014
Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation
Yunbei Xu
math.PRcond-mat.stat-mechcs.ITarXiv:2606.07931v22026
Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization
Zheng Lin, Shaoke Fang, Yuxin Zhang +6
cs.LGcs.DCarXiv:2610.00558v12026
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li +2
cs.LGarXiv:1002.4058v32010
StructRL: Online Structured Reinforcement Learning for Long-Horizon Vision-Language-Action Tasks
Ziyi Yin, Sangmin Woo, Kang Zhou +4
cs.CVcs.LGcs.ROarXiv:2609.36352v12026
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle, Kevin Shih, Ryan Prenger +1
cs.SDcs.CLcs.LGarXiv:2005.05957v32020
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Yihan Wang, Si Si, Daliang Li +5
cs.CLcs.LGarXiv:2211.00635v32022
TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain
Kai Wang, Bengbeng He, Wei-Ping Zhu
eess.AScs.LGcs.SDarXiv:2103.09963v12021
Saturated Transformers are Constant-Depth Threshold Circuits
William Merrill, Ashish Sabharwal, Noah A. Smith
cs.CLcs.CCcs.LGarXiv:2106.16213v32021
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
Youngduck Choi, Youngnam Lee, Junghyun Cho +6
cs.LGcs.AIcs.CYarXiv:2002.07033v52020
BranchShine-CR: Compact Multilingual IPA Transcription with Self-Conditioned CTC and Consistency Regularization
Nikhil Navas, Sergio Chevtchenko, Talisson Damiao +1
cs.LGarXiv:2609.29069v12026
ReNoise: Real Image Inversion Through Iterative Noising
Daniel Garibi, Or Patashnik, Andrey Voynov +2
cs.CVcs.GRcs.LGarXiv:2403.14602v12024
Temporal Multimodal Fusion for Video Emotion Classification in the Wild
Valentin Vielzeuf, Stéphane Pateux, Frédéric Jurie
cs.CVcs.LGcs.MMarXiv:1709.07200v12017
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Lai Wei, Liangbo He, Jun Lan +9
cs.CVcs.AIcs.CLarXiv:2602.11858v22026
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth +1
cs.CVcs.AIcs.LGarXiv:2211.05105v42022
Random Recursive Models
Jama Hussein Mohamud, Mirco Ravanelli
cs.LGcs.AIarXiv:2610.00541v12026
Spatial-Temporal Large Language Model for Traffic Prediction
Chenxi Liu, Sun Yang, Qianxiong Xu +4
cs.LGcs.CLarXiv:2401.10134v42024
Stability and Generalization of Straight-Through Estimators for Training Two-Layer Quantized Neural Networks
Yiming Ying
cs.LGstat.MLarXiv:2609.06430v12026
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, YuFei Wang, Renjie Wan +3
cs.CVcs.LGeess.IVarXiv:2009.12829v32020
Deep Coordination Graphs
Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson
cs.LGcs.AIcs.MAarXiv:1910.00091v42019
The Price of Decentralization in Top-$K$ Arm Identification
Larissa Xu, Jasmine Nguyen, William Chang
cs.LGarXiv:2608.22120v12026
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner
Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang +3
cs.CVcs.AIcs.LGarXiv:1705.00930v22017
Parameter Estimation for Unnormalized Discrete Models via Empirically Localized Deformed Bregman Divergence
Takashi Takenouchi
stat.MLcs.LGarXiv:2609.30713v12026
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo +1
cs.GTcs.AIcs.LGarXiv:1507.00407v52015
Better than classical? The subtle art of benchmarking quantum machine learning models
Joseph Bowles, Shahnawaz Ahmed, Maria Schuld
quant-phcs.LGarXiv:2403.07059v22024
Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?
Pingyue Zhang, Zihan Huang, Yue Wang +11
cs.AIcs.CLcs.LGarXiv:2602.07055v12026
Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching
Shreya Deshmukh, Imen Mahdi, Nick Heppert +1
cs.ROcs.AIcs.LGarXiv:2609.28107v22026
Characterizing Truthful Multi-Armed Bandit Mechanisms
Moshe Babaioff, Yogeshwer Sharma, Aleksandrs Slivkins
cs.DScs.GTcs.LGarXiv:0812.2291v72008
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
Kexuan Shi, Hanxuan Li, Zeju Qiu +3
cs.LGstat.MLarXiv:2605.12492v12026
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang, Zihao Deng, Martin Ma +3
cs.LGcs.AIcs.CLarXiv:2306.05268v22023
Are Verifier Errors Independent Within a GRPO Group? Evidence from Qwen2.5 Rollouts
Esther Xin
cs.LGcs.CLarXiv:2609.06386v12026
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
cs.LGcs.AIstat.MLarXiv:1811.04551v52018
Gradient Projection Memory for Continual Learning
Gobinda Saha, Isha Garg, Kaushik Roy
cs.LGcs.CVarXiv:2103.09762v12021
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Ahmed Salem, Yang Zhang, Mathias Humbert +3
cs.CRcs.AIcs.LGarXiv:1806.01246v22018
Cost-Aware Mixture-of-Experts Coordination for Model Markets
Yizhou Ma, Wenbo Wu, Xikun Jiang +2
cs.DBcs.LGarXiv:2610.11908v12026
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H. Martin, Tongsu, Peng +1
cs.LGphysics.data-anstat.MLarXiv:2002.06716v22020
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGeess.IVarXiv:1909.13863v12019
Automated Assembly Instruction Generation from CAD Models Using Grounded Large Language Models: A Human-in-the-Loop Framework
Aaron Dsouza, Mohammed Azeez Khan, Ashutosh Mishra +3
cs.LGarXiv:2610.11896v12026
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang, Huazhe Xu, Yi Wu +1
cs.LGcs.AIcs.ROarXiv:2003.13661v22020
Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
Nikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky +2
cs.LGcs.AIcs.ROarXiv:2510.25616v12025
FedCM: Federated Learning with Client-level Momentum
Jing Xu, Sen Wang, Liwei Wang +1
cs.LGarXiv:2106.10874v12021
GRPODropout: Less is More for Online Reinforcement Learning Rollouts
Hexuan Deng, Zihao Yan, Xuebo Liu +8
cs.LGcs.AIcs.CLarXiv:2610.11854v12026
MetaKernelBench: Measuring GPU Kernel Knowledge Transfer Beyond Code
Xueyi Chen, Shiyu Liu, Xin Jin +5
cs.LGarXiv:2610.05014v12026
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Deniz Mengu, Yi Luo, Yair Rivenson +1
cs.NEcs.LGphysics.opticsarXiv:1810.01916v42018

Machine Learning

Transferability of Spectral Graph Convolutional Neural Networks

FedMix: Approximation of Mixup under Mean Augmented Federated Learning

When Machine Unlearning Jeopardizes Privacy

Dimension-Free Rank Lifting from Random Hyperplane Arrangements

How Strongly Should Task State Influence an LLM Agent?

Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization

Reinforcement Learning with Deep Energy-Based Policies

Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro

Interventional Few-Shot Learning

DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models

Local and Global Stability in Performative Reinforcement Learning

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering

Can LLMs Reason Over Long Horizons? An Empirical Evaluation of Context Strategies for Longitudinal Clinical Reasoning

Residual Policy Learning

Dynamic Speculative Agent Planning

On the Importance of Exploration for Generalization in Reinforcement Learning

Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits

Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation

Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization

Contextual Bandit Algorithms with Supervised Learning Guarantees

StructRL: Online Structured Reinforcement Learning for Long-Horizon Vision-Language-Action Tasks

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

Two-stage LLM Fine-tuning with Less Specialization and More Generalization

TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

Saturated Transformers are Constant-Depth Threshold Circuits

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

BranchShine-CR: Compact Multilingual IPA Transcription with Self-Conditioned CTC and Consistency Regularization

ReNoise: Real Image Inversion Through Iterative Noising

Temporal Multimodal Fusion for Video Emotion Classification in the Wild

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Random Recursive Models

Spatial-Temporal Large Language Model for Traffic Prediction

Stability and Generalization of Straight-Through Estimators for Training Two-Layer Quantized Neural Networks

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

Deep Coordination Graphs

The Price of Decentralization in Top-$K$ Arm Identification

Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner

Parameter Estimation for Unnormalized Discrete Models via Empirically Localized Deformed Bregman Divergence

Fast Convergence of Regularized Learning in Games

Better than classical? The subtle art of benchmarking quantum machine learning models

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching

Characterizing Truthful Multi-Armed Bandit Mechanisms

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

Are Verifier Errors Independent Within a GRPO Group? Evidence from Qwen2.5 Rollouts

Learning Latent Dynamics for Planning from Pixels

Gradient Projection Memory for Continual Learning

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Cost-Aware Mixture-of-Experts Coordination for Model Markets

Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data

XNOR-Net++: Improved Binary Neural Networks

Automated Assembly Instruction Generation from CAD Models Using Grounded Large Language Models: A Human-in-the-Loop Framework

Multi-Task Reinforcement Learning with Soft Modularization

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization

FedCM: Federated Learning with Client-level Momentum

GRPODropout: Less is More for Online Reinforcement Learning Rollouts

MetaKernelBench: Measuring GPU Kernel Knowledge Transfer Beyond Code

Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks