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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27,781 to 27,840 of 33,092

Online convex optimization in the bandit setting: gradient descent without a gradient
Abraham D. Flaxman, Adam Tauman Kalai, H. Brendan McMahan
cs.LGcs.CCarXiv:cs/0408007v12004
Distributed Robust Learning
Jiashi Feng, Huan Xu, Shie Mannor
stat.MLcs.LGarXiv:1409.5937v22014
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Maziar Raissi
stat.MLcs.LGeess.SYarXiv:1804.07010v12018
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang, Hongkai Wen, Sen Wang +3
cs.CVcs.AIcs.LGarXiv:1708.07969v12017
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta, Albert Gu, Jonathan Berant
cs.LGcs.CLarXiv:2203.14343v32022
Policy Optimization in RLHF: The Impact of Out-of-preference Data
Ziniu Li, Tian Xu, Yang Yu
cs.LGarXiv:2312.10584v22023
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
cs.LGcs.SDeess.ASarXiv:1904.05742v42019
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao, Zhenyu Zhang, Beidi Chen +3
cs.LGarXiv:2403.03507v22024
Auto-Formalizing Neuro-Symbolic Predictors
Samuele Bortolotti, Weixin Chen, Han Zhao +3
cs.LGcs.AIarXiv:2610.01519v12026
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
Zhiqin Yang, Yonggang Zhang, Yu Zheng +4
cs.LGarXiv:2310.05077v12023
Client-Edge-Cloud Hierarchical Federated Learning
Lumin Liu, Jun Zhang, S. H. Song +1
cs.NIcs.LGarXiv:1905.06641v22019
On-Policy Distillation with Negative-Policy Rollouts
Jaehui Hwang, Dongyoon Han, Sangdoo Yun +1
cs.LGarXiv:2610.07874v12026
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
stat.MLcs.CRcs.LGarXiv:1207.2812v32012
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
Zixiang Chen, Huizhuo Yuan, Yongqian Li +3
cs.LGcs.AIstat.MLarXiv:2312.09193v32023
LSR-Net: Learning the Forward Evolution Operator for Nonlinear Fluid Dynamics
Qian Hou, Sutrisno, Yuqing Li +1
physics.comp-phcs.LGphysics.flu-dynarXiv:2609.19039v12026
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin +4
cs.LGcs.AIarXiv:2308.06522v12023
SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models
Chung-En Ho, Weiyu Sun, Cheng-Jhih Shih +3
cs.AIcs.CLcs.LGarXiv:2610.04875v22026
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang, Qi Zhang, Yisen Wang +2
cs.LGcs.CVstat.MLarXiv:2203.13457v22022
WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Ziyi Zeng, Zhenyang Cai, Yixi Cai +8
eess.SPcs.AIcs.CLarXiv:2510.00032v12025
Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
Lucas Pinto
cs.CRcs.LGarXiv:2607.06596v32026
SuperBPE: Space Travel for Language Models
Alisa Liu, Jonathan Hayase, Valentin Hofmann +3
cs.CLcs.LGarXiv:2503.13423v32025
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
An Yan, Shuo Cheng, Wang-Cheng Kang +2
cs.IRcs.LGarXiv:1908.09972v12019
SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing
Jannes Münchmeyer, Han Xiao, Frederik Tilmann
physics.geo-phcs.LGarXiv:2609.07558v12026
Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
Byung-Kwan Lee, Yu-Chiang Frank Wang, Ryo Hachiuma
cs.LGcs.AIcs.CVarXiv:2512.22238v12025
ID Balancing: Stable Training of Extremely Sparse MoE via PID-Based Load Control
Peng Jin, Zihan Qiu, Zekun Wang +8
cs.LGarXiv:2609.39137v12026
Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum
Zhuoning Guo, Mingxin Li, Yanzhao Zhang +3
cs.CVcs.AIcs.CLarXiv:2510.27571v12025
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
cs.NEcs.LGcs.ROarXiv:2203.11316v22022
Bayesian methods and Markov chain Monte Carlo algorithms for curve reconstruction and point cloud data analysis
Asir Intesar Tushar, Ioannis Sgouralis
cs.LGstat.MLarXiv:2608.26490v12026
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
Zhongyi Zhou, Yichen Zhu, Minjie Zhu +8
cs.ROcs.CVcs.LGarXiv:2502.14420v22025
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
eess.SYcs.AIcs.LGarXiv:2609.06636v12026
Majority Vote of Diverse Classifiers for Late Fusion
Emilie Morvant, Amaury Habrard, Stéphane Ayache
stat.MLcs.LGcs.MMarXiv:1404.7796v22014
Epistemic Observability in Language Models
Tony Mason, Vaastav Anand
cs.DCcs.AIcs.CLarXiv:2603.20531v22026
On the Generalization Benefit of Noise in Stochastic Gradient Descent
Samuel L. Smith, Erich Elsen, Soham De
cs.LGstat.MLarXiv:2006.15081v12020
A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion
Raghunandan H. Keshavan, Sewoong Oh
math.NAcs.LGarXiv:0910.5260v22009
Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics
Aleš Kučera, Karel Zimmermann
cs.ROcs.GRcs.LGarXiv:2609.08800v12026
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
Yuqiao Tan, Minzheng Wang, Shizhu He +6
cs.LGcs.AIcs.CLarXiv:2512.19673v32025
On the consistency of supervised learning with missing values
Julie Josse, Jacob M. Chen, Nicolas Prost +2
stat.MLcs.LGmath.STarXiv:1902.06931v52019
Thought without systematicity? Evaluating reasoning models on rule induction tasks
Simon Schug, Brenden M. Lake
cs.CLcs.AIcs.LGarXiv:2609.13948v12026
OpenMTB-Audit: Exposing Over-Refusal and Clinical Expert Perspectives in LLM-Based Molecular Tumor Board Safety Evaluation
Negin Ashrafi, Jia Luo, Stacey M. Frumm +1
cs.AIcs.LGarXiv:2610.01497v12026
CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and Refinement
Boyang Zhang, Qingxin Xiao, Lingwei Dang +1
cs.LGarXiv:2609.07529v32026
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan +2
cs.CLcs.AIcs.LGarXiv:2402.04333v32024
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Tan, Mohit Bansal
cs.CLcs.CVcs.LGarXiv:1908.07490v32019
Scalars are universal: Equivariant machine learning, structured like classical physics
Soledad Villar, David W. Hogg, Kate Storey-Fisher +2
cs.LGmath-phstat.MLarXiv:2106.06610v42021
Flying Insect Classification with Inexpensive Sensors
Yanping Chen, Adena Why, Gustavo Batista +2
cs.LGcs.CEarXiv:1403.2654v12014
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Yueming Jin, Huaxia Li, Qi Dou +4
cs.CVcs.LGeess.IVarXiv:1907.06099v12019
DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
Alexander Rubinstein, Benjamin Raible, Martin Gubri +1
cs.LGcs.AIarXiv:2510.07959v22025
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li, Haotian Liu, Liunian Harold Li +8
cs.CVcs.CLcs.LGarXiv:2204.08790v62022
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu, Tianyu Ding, Jinxin Zhou +4
cs.LGcs.AIcs.ITarXiv:2105.02375v12021
Deep Reinforcement Learning for De-Novo Drug Design
Mariya Popova, Olexandr Isayev, Alexander Tropsha
cs.AIcs.LGstat.MLarXiv:1711.10907v22017
Repurposing Obsolete Representations for Post-Deployment Adaptation
Daniel Bethell, Charmaine Barker, Simos Gerasimou
cs.LGarXiv:2610.01453v12026
Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective
Bruce J. Wittmann
q-bio.BMcs.LGarXiv:2609.03046v12026
Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data
Grzegorz Stefanski, Alberto Presta, Michal Byra
cs.AIcs.CVcs.LGarXiv:2601.22141v12026
Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?
Joeran Beel, Min-Yen Kan, Moritz Baumgart
cs.IRcs.AIcs.LGarXiv:2502.14297v32025
R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Naman Jain, Jaskirat Singh, Manish Shetty +3
cs.SEcs.CLcs.LGarXiv:2504.07164v12025
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Alexander Rakhlin, Ohad Shamir, Karthik Sridharan
cs.LGmath.OCarXiv:1109.5647v72011
Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation
Yuying Li, Leqi Zheng, Yongzi Yu +6
cs.LGcs.AIcs.CLarXiv:2606.02684v22026
Evidence for Shared Routing Geometry and Dynamics in Sparse Mixture-of-Experts
Kirill Labzin, Stepan Kulibaba, Artem Dzhalilov +1
cs.LGcs.AIarXiv:2609.02404v12026
Learning the Cost of Reliable Inference
Dimitrios Rontogiannis, Ander Artola Velasco, Manuel Gomez Rodriguez
cs.AIcs.GTcs.LGarXiv:2609.28322v22026
Transformers in Healthcare: A Survey
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang +9
cs.AIcs.CYcs.LGarXiv:2307.00067v12023
Generative Models: What Do They Know? Do They Know Things? Let's Find Out!
Xiaodan Du, Nicholas Kolkin, Greg Shakhnarovich +1
cs.CVcs.AIcs.GRarXiv:2311.17137v32023

Machine Learning

Online convex optimization in the bandit setting: gradient descent without a gradient

Distributed Robust Learning

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Diagonal State Spaces are as Effective as Structured State Spaces

Policy Optimization in RLHF: The Impact of Out-of-preference Data

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Auto-Formalizing Neuro-Symbolic Predictors

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

Client-Edge-Cloud Hierarchical Federated Learning

On-Policy Distillation with Negative-Policy Rollouts

Near-Optimal Algorithms for Differentially-Private Principal Components

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

LSR-Net: Learning the Forward Evolution Operator for Nonlinear Fluid Dynamics

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models

Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities

Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages

SuperBPE: Space Travel for Language Models

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation

SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

Masking Teacher and Reinforcing Student for Distilling Vision-Language Models

ID Balancing: Stable Training of Extremely Sparse MoE via PID-Based Load Control

Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum

Random vector functional link network: recent developments, applications, and future directions

Bayesian methods and Markov chain Monte Carlo algorithms for curve reconstruction and point cloud data analysis

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model

TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting

Majority Vote of Diverse Classifiers for Late Fusion

Epistemic Observability in Language Models

On the Generalization Benefit of Noise in Stochastic Gradient Descent

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion

Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics

Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies

On the consistency of supervised learning with missing values

Thought without systematicity? Evaluating reasoning models on rule induction tasks

OpenMTB-Audit: Exposing Over-Refusal and Clinical Expert Perspectives in LLM-Based Molecular Tumor Board Safety Evaluation

CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and Refinement

LESS: Selecting Influential Data for Targeted Instruction Tuning

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Scalars are universal: Equivariant machine learning, structured like classical physics

Flying Insect Classification with Inexpensive Sensors

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

DISCO: Diversifying Sample Condensation for Efficient Model Evaluation

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

A Geometric Analysis of Neural Collapse with Unconstrained Features

Deep Reinforcement Learning for De-Novo Drug Design

Repurposing Obsolete Representations for Post-Deployment Adaptation

Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective

Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data

Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents

Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization

Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation

Evidence for Shared Routing Geometry and Dynamics in Sparse Mixture-of-Experts

Learning the Cost of Reliable Inference

Transformers in Healthcare: A Survey

Generative Models: What Do They Know? Do They Know Things? Let's Find Out!