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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6,181 to 6,240 of 20,193

Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
Isaac Gibbs, Emmanuel Candès
stat.MEcs.LGarXiv:2208.08401v32022
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris +1
cs.LGarXiv:2502.09509v32025
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Xufang Luo, Yuge Zhang, Zhiyuan He +5
cs.AIcs.LGarXiv:2508.03680v12025
Sparse coding for multitask and transfer learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
cs.LGstat.MLarXiv:1209.0738v32012
The Variational Gaussian Process
Dustin Tran, Rajesh Ranganath, David M. Blei
stat.MLcs.LGcs.NEarXiv:1511.06499v42015
Deep Lattice Networks and Partial Monotonic Functions
Seungil You, David Ding, Kevin Canini +2
stat.MLcs.LGarXiv:1709.06680v12017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Baolin Peng, Xiujun Li, Lihong Li +4
cs.CLcs.AIcs.LGarXiv:1704.03084v32017
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Amir Feder, Nadav Oved, Uri Shalit +1
cs.CLcs.AIcs.LGarXiv:2005.13407v52020
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Junying Chen, Zhenyang Cai, Pengcheng Chen +5
cs.CVcs.AIcs.LGarXiv:2506.18095v12025
Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization
Dmitry Kovalev
cs.LGmath.OCstat.MLarXiv:2503.12645v22025
Continual Learning for Large Language Models: A Survey
Tongtong Wu, Linhao Luo, Yuan-Fang Li +3
cs.CLcs.LGarXiv:2402.01364v22024
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
Matthew MacKay, Paul Vicol, Jon Lorraine +2
cs.LGstat.MLarXiv:1903.03088v12019
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
Alon Albalak, Duy Phung, Nathan Lile +8
cs.LGcs.AIcs.CLarXiv:2502.17387v12025
Neural Symbollic Regression Using Deep Learning and Sparse Modelling
Ravi Kumar U, Sumitra S
cs.LGcs.NEcs.SCarXiv:2609.01102v12026
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
Hao Chen, Yujin Han, Fangyi Chen +7
cs.CVcs.AIcs.LGarXiv:2502.03444v22025
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
Siwei Han, Peng Xia, Ruiyi Zhang +4
cs.LGarXiv:2503.13964v12025
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
Yiming Qin, Bomin Wei, Jiaxin Ge +4
cs.CVcs.AIcs.LGarXiv:2511.19418v32025
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev
cs.LGcs.ROarXiv:2107.00541v12021
Ad Headline Generation using Self-Critical Masked Language Model
Yashal Shakti Kanungo, Sumit Negi, Aruna Rajan
cs.CLcs.AIcs.LGarXiv:2607.06818v12026
GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting
Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad Khanjani
cs.LGphysics.ao-pharXiv:2609.00544v12026
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
Guibin Zhang, Muxin Fu, Guancheng Wan +3
cs.MAcs.CLcs.LGarXiv:2506.07398v22025
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino +1
cs.CVcs.LGarXiv:1810.05420v22018
Apple Intelligence Foundation Language Models: Tech Report 2025
Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395
cs.LGcs.AIarXiv:2507.13575v32025
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu, Maya Varma, Khaled Saab +5
cs.LGcs.AIarXiv:2203.14960v32022
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Hyungjin Chung, Dohoon Ryu, Michael T. McCann +2
cs.CVcs.AIcs.LGarXiv:2211.10655v12022
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
Kaixuan Huang, Jiacheng Guo, Zihao Li +15
cs.LGcs.AIcs.CLarXiv:2502.06453v22025
Personalized Transformer for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2105.11601v22021
ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
Wanghan Xu, Shuo Li, Tianlin Ye +48
cs.LGcs.AIcs.CLarXiv:2606.07591v52026
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Luke Bailey, Euan Ong, Stuart Russell +1
cs.LGcs.CLcs.CRarXiv:2309.00236v42023
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Taiwei Shi, Yiyang Wu, Linxin Song +2
cs.LGcs.CLarXiv:2504.05520v42025
NorMuon: Making Muon more efficient and scalable
Zichong Li, Liming Liu, Chen Liang +2
cs.LGcs.CLarXiv:2510.05491v12025
Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation
Haoyuan Deng, Haichao Liu, Wenkai Guo +6
cs.ROcs.LGarXiv:2609.01596v12026
Towards a universal meta-optics solver via large language models
Huanshu Zhang, Lei Kang, Yuyan Chen +3
physics.opticscs.LGarXiv:2608.26417v12026
Llama-Nemotron: Efficient Reasoning Models
Akhiad Bercovich, Itay Levy, Izik Golan +133
cs.CLcs.AIcs.LGarXiv:2505.00949v52025
Soft Active Electromyography Interface for Machine Learning-Enabled Silent Speech Recognition
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida +6
cs.LGcs.HCcs.SDarXiv:2608.27048v12026
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28
cs.ROcs.AIcs.HCarXiv:2306.16740v42023
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin, Wen Song, Zhiguang Cao +1
cs.AIcs.LGarXiv:2110.07983v12021
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen, Youfang Lin, Yutong Xia +4
cs.LGarXiv:2301.13629v42023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking
Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal +9
cs.LGarXiv:2312.09244v32023
Diffuse and Disperse: Image Generation with Representation Regularization
Runqian Wang, Kaiming He
cs.CVcs.AIcs.LGarXiv:2506.09027v22025
Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
Marcel Torne, Anthony Simeonov, Zechu Li +4
cs.ROcs.AIcs.LGarXiv:2403.03949v32024
A Random Matrix Approach to Neural Networks
Cosme Louart, Zhenyu Liao, Romain Couillet
math.PRcs.LGarXiv:1702.05419v22017
From neural PCA to deep unsupervised learning
Harri Valpola
stat.MLcs.LGcs.NEarXiv:1411.7783v22014
Capability-Gated Language Models: Security Composes, Utility Does Not
Patrikas Vanagas, Augustas Mačijauskas, Laurynas Lopata
cs.CRcs.AIcs.LGarXiv:2609.00445v12026
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
William F. Shen, Xinchi Qiu, Chenxi Whitehouse +6
cs.LGcs.AIarXiv:2602.05125v12026
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
cs.LGcs.IRstat.MLarXiv:1905.10760v12019
Convergence of the Deep BSDE Method for Coupled FBSDEs
Jiequn Han, Jihao Long
math.PRcs.LGmath.NAarXiv:1811.01165v42018
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Christian Walder, Deep Karkhanis
cs.LGcs.AIcs.CLarXiv:2505.15201v52025
LightThinker: Thinking Step-by-Step Compression
Jintian Zhang, Yuqi Zhu, Mengshu Sun +6
cs.CLcs.AIcs.IRarXiv:2502.15589v22025
How to build a consistency model: Learning flow maps via self-distillation
Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden
cs.LGcs.CVarXiv:2505.18825v22025
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma +4
stat.MLcs.LGarXiv:2107.10098v32021
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou +3
cs.LGcs.CVstat.MLarXiv:1909.12778v32019
A Comprehensive Survey on Long Context Language Modeling
Jiaheng Liu, Dawei Zhu, Zhiqi Bai +34
cs.CLcs.LGarXiv:2503.17407v22025
Sharp Mixed Spectral Barron Regularity of Coulombic Many-Electron Wave Functions
Pingbing Ming, Hao Yu
math.APcs.LGmath.NAarXiv:2609.00872v12026
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
cs.LOcs.AIcs.LGarXiv:1905.09381v12019
Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization
Shiyun Wa, Yifei Wang, Anna G. Green +2
cs.LGarXiv:2609.00189v12026
On The Reasons Behind Decisions
Adnan Darwiche, Auguste Hirth
cs.AIcs.LGarXiv:2002.09284v12020
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
Peter Eastman, Raimondas Galvelis, Raúl P. Peláez +22
physics.chem-phcs.LGarXiv:2310.03121v22023
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis +2
cs.CVcs.AIcs.GRarXiv:1905.02876v32019
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee +2
cs.LGcs.ARarXiv:1705.01626v12017

Machine Learning

Conformal Inference for Online Prediction with Arbitrary Distribution Shifts

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Sparse coding for multitask and transfer learning

The Variational Gaussian Process

Deep Lattice Networks and Partial Monotonic Functions

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning

CausaLM: Causal Model Explanation Through Counterfactual Language Models

ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation

Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Continual Learning for Large Language Models: A Survey

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Neural Symbollic Regression Using Deep Learning and Sparse Modelling

Masked Autoencoders Are Effective Tokenizers for Diffusion Models

MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens

Goal-Conditioned Reinforcement Learning with Imagined Subgoals

Ad Headline Generation using Self-Critical Masked Language Model

GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data

Apple Intelligence Foundation Language Models: Tech Report 2025

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations

Personalized Transformer for Explainable Recommendation

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Image Hijacks: Adversarial Images can Control Generative Models at Runtime

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

NorMuon: Making Muon more efficient and scalable

Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation

Towards a universal meta-optics solver via large language models

Llama-Nemotron: Efficient Reasoning Models

Soft Active Electromyography Interface for Machine Learning-Enabled Silent Speech Recognition

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking

Diffuse and Disperse: Image Generation with Representation Regularization

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

A Random Matrix Approach to Neural Networks

From neural PCA to deep unsupervised learning

Capability-Gated Language Models: Security Composes, Utility Does Not

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

Convergence of the Deep BSDE Method for Coupled FBSDEs

Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems

LightThinker: Thinking Step-by-Step Compression

How to build a consistency model: Learning flow maps via self-distillation

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

A Comprehensive Survey on Long Context Language Modeling

Sharp Mixed Spectral Barron Regularity of Coulombic Many-Electron Wave Functions

Learning to Prove Theorems via Interacting with Proof Assistants

Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization

On The Reasons Behind Decisions

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks