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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5,881 to 5,940 of 20,193

Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting
Udo Schlegel, Shubhangi, Gabriel Dax +3
cs.CVcs.AIcs.LGarXiv:2609.00898v12026
Missing Data Imputation using Optimal Transport
Boris Muzellec, Julie Josse, Claire Boyer +1
stat.MLcs.LGarXiv:2002.03860v32020
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Yichen He, Guanhua Huang, Peiyuan Feng +4
cs.IRcs.LGarXiv:2501.10120v22025
Solving Schrödinger Bridges via Maximum Likelihood
Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence +1
stat.MLcs.LGarXiv:2106.02081v92021
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2503.08136v12025
Transformers are Graph Neural Networks
Chaitanya K. Joshi
cs.LGcs.AIarXiv:2506.22084v12025
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellert Weisz
stat.MLcs.LGarXiv:1911.07676v22019
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade +7
cs.LGcs.AIcs.CLarXiv:2504.08942v22025
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree
Lei Lin, Qian Wang, Adel W. Sadek
stat.APcs.LGarXiv:1701.05691v22017
RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
Kun Lei, Huanyu Li, Dongjie Yu +6
cs.ROcs.AIcs.LGarXiv:2510.14830v42025
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing
Zhe Liu, Nicholas Rolston, Austin C. Flick +4
cs.LGphysics.app-pharXiv:2110.01387v42021
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
Howard Chen, Noam Razin, Karthik Narasimhan +1
cs.LGcs.CLarXiv:2510.18874v32025
Learning to Predict the Cosmological Structure Formation
Siyu He, Yin Li, Yu Feng +4
astro-ph.COcs.AIcs.LGarXiv:1811.06533v22018
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun +5
cs.LGcs.AIcs.DBarXiv:2503.23157v22025
GPT Takes the Bar Exam
Michael Bommarito, Daniel Martin Katz
cs.CLcs.AIcs.LGarXiv:2212.14402v12022
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
stat.MLcs.LGcs.ROarXiv:1502.02251v32015
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
Yunhui Xia, Wei Shen, Yan Wang +5
cs.LGcs.CLcs.SEarXiv:2504.14655v12025
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Yukun Bao, Zhongyi Hu, Tao Xiong
cs.LGcs.AIcs.NEarXiv:1401.1926v12014
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
Yinmin Zhong, Zili Zhang, Xiaoniu Song +11
cs.LGcs.DCarXiv:2504.15930v12025
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
Gang Xu, Zhigang Song, Zhuo Sun +6
eess.IVcs.CVcs.LGarXiv:1908.10555v12019
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov, Akihito Seki, Lubor Ladicky +2
cs.CVcs.LGcs.NEarXiv:1611.07571v22016
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
Jianling Li, Shangzhan Li, Zhenye Gao +9
cs.CLcs.LGarXiv:2502.14752v12025
Federated Neural Collaborative Filtering
Vasileios Perifanis, Pavlos S. Efraimidis
cs.IRcs.CRcs.LGarXiv:2106.04405v22021
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng +1
cs.LGcs.AIcs.CLarXiv:2211.03536v22022
On the Adversarial Robustness of Multi-Modal Foundation Models
Christian Schlarmann, Matthias Hein
cs.LGcs.AIcs.CRarXiv:2308.10741v12023
Reward Shaping to Mitigate Reward Hacking in RLHF
Jiayi Fu, Xuandong Zhao, Chengyuan Yao +2
cs.LGcs.AIcs.CLarXiv:2502.18770v72025
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu +2
cs.LGcs.AIarXiv:2110.15122v42021
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
Weixun Wang, Shaopan Xiong, Gengru Chen +38
cs.LGcs.DCarXiv:2506.06122v12025
Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing
Yusu Qian, Eli Bocek-Rivele, Liangchen Song +5
cs.CVcs.CLcs.LGarXiv:2510.19808v12025
Expanding the Capabilities of Reinforcement Learning via Text Feedback
Yuda Song, Lili Chen, Fahim Tajwar +5
cs.LGarXiv:2602.02482v22026
Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks
Shuo He, Lang Feng, Qi Wei +3
cs.LGcs.AIarXiv:2602.22817v12026
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
Chongyu Fan, Jinghan Jia, Yihua Zhang +3
cs.LGcs.CLarXiv:2502.05374v42025
Attending to Characters in Neural Sequence Labeling Models
Marek Rei, Gamal K. O. Crichton, Sampo Pyysalo
cs.CLcs.LGcs.NEarXiv:1611.04361v12016
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
Vedika Agarwal, Rakshith Shetty, Mario Fritz
cs.CVcs.CLcs.LGarXiv:1912.07538v32019
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
cs.LGstat.MLarXiv:1905.11885v22019
Fathom: Reference Workloads for Modern Deep Learning Methods
Robert Adolf, Saketh Rama, Brandon Reagen +2
cs.LGarXiv:1608.06581v12016
The Implications of Linguistic Illegibility for LLM Security
James Mickens
cs.LGcs.CRarXiv:2609.02852v12026
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2
Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák +8
cs.AIcs.LGarXiv:2502.03544v32025
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair, Eric Mitchell, Kevin Chen +3
cs.ROcs.AIcs.LGarXiv:2109.01115v22021
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
cs.NEcs.LGstat.MLarXiv:1504.08291v52015
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations
Philipp Grohs, Fabian Hornung, Arnulf Jentzen +1
math.NAcs.LGmath.PRarXiv:1809.02362v32018
Learning Spectral-Like Mesh-Free Discretisations
Lucas Gerken Starepravo, Henry Broadley, Steven Lind +1
physics.comp-phcs.LGarXiv:2609.02833v12026
Recent Advances in Imitation Learning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
cs.ROcs.AIcs.LGarXiv:1905.13566v22019
Dimension Dependent Correlation Gap Bounds under Restricted Independence
Arjun Ramachandra
math.PRcs.LGmath.COarXiv:2609.02659v12026
HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC
Ming Tan, Xiyun Jiao
stat.MLcs.LGstat.COarXiv:2609.02138v12026
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
cs.CRcs.IRcs.LGarXiv:2002.08025v32020
Similarity-Aware Personalized Federated Learning in Heterogeneous Environments
Arun Kumar A, Sunil Gupta, Dang Ngyuen +2
cs.LGarXiv:2609.02241v12026
CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling
Chunye Gong, Cong Yao
cs.LGarXiv:2609.01991v12026
Algorithms and Theory for Multiple-Source Adaptation
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
cs.LGstat.MLarXiv:1805.08727v12018
A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN
Adrian Degenkolb, Qiong Huang, Benjamin Schäfer
cs.LGarXiv:2609.02538v12026
SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
Hwiwon Lee, Ziqi Zhang, Hanxiao Lu +1
cs.LGcs.CRarXiv:2506.11791v22025
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors
Amit G. Deshwar, Shankar Vembu, Christina K. Yung +3
q-bio.PEcs.LGstat.MLarXiv:1406.7250v32014
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han, Xu-Yang Chen, Han-Jia Ye +1
cs.LGarXiv:2404.14197v32024
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani +1
cs.LGmath.OCstat.MLarXiv:2006.08907v12020
Airbert: In-domain Pretraining for Vision-and-Language Navigation
Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen +2
cs.CVcs.AIcs.CLarXiv:2108.09105v12021
Gossip Learning with Linear Models on Fully Distributed Data
Róbert Ormándi, István Hegedüs, Márk Jelasity
cs.LGcs.DCarXiv:1109.1396v32011
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
Zihan Liu, Zhuolin Yang, Yang Chen +4
cs.CLcs.AIcs.LGarXiv:2506.13284v12025
When Models Manipulate Manifolds: The Geometry of a Counting Task
Wes Gurnee, Emmanuel Ameisen, Isaac Kauvar +4
cs.LGarXiv:2601.04480v12026
Kernel-based Reconstruction of Graph Signals
Daniel Romero, Meng Ma, Georgios B. Giannakis
stat.MLcs.LGarXiv:1605.07174v12016
When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models
Smitha Muthya Sudheendra, Jaideep Srivastava
cs.CLcs.LGarXiv:2609.02438v12026

Machine Learning

Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

Missing Data Imputation using Optimal Transport

PaSa: An LLM Agent for Comprehensive Academic Paper Search

Solving Schrödinger Bridges via Maximum Likelihood

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems

Transformers are Graph Neural Networks

Learning with Good Feature Representations in Bandits and in RL with a Generative Model

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories

Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning

Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing

Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting

Learning to Predict the Cosmological Structure Formation

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

GPT Takes the Bar Exam

From Pixels to Torques: Policy Learning with Deep Dynamical Models

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Quad-networks: unsupervised learning to rank for interest point detection

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Federated Neural Collaborative Filtering

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces

On the Adversarial Robustness of Multi-Modal Foundation Models

Reward Shaping to Mitigate Reward Hacking in RLHF

CAFE: Catastrophic Data Leakage in Vertical Federated Learning

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing

Expanding the Capabilities of Reinforcement Learning via Text Feedback

Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Attending to Characters in Neural Sequence Labeling Models

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Differentiable Ranks and Sorting using Optimal Transport

Fathom: Reference Workloads for Modern Deep Learning Methods

The Implications of Linguistic Illegibility for LLM Security

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations

Learning Spectral-Like Mesh-Free Discretisations

Recent Advances in Imitation Learning from Observation

Dimension Dependent Correlation Gap Bounds under Restricted Independence

HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

Similarity-Aware Personalized Federated Learning in Heterogeneous Environments

CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling

Algorithms and Theory for Multiple-Source Adaptation

A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN

SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks

Reconstructing subclonal composition and evolution from whole genome sequencing of tumors

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion

Robust Federated Learning: The Case of Affine Distribution Shifts

Airbert: In-domain Pretraining for Vision-and-Language Navigation

Gossip Learning with Linear Models on Fully Distributed Data

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy

When Models Manipulate Manifolds: The Geometry of a Counting Task

Kernel-based Reconstruction of Graph Signals

When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models