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.

Search paper metadata (including unsummarized papers)

21,721 to 21,780 of 33,218

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
Minseo Kim, Minjae Lee, Seunghyuk Oh +7
cs.LGarXiv:2606.18967v12026
Out of One, Many: Using Language Models to Simulate Human Samples
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda +3
cs.LGcs.CLarXiv:2209.06899v12022
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
Jie Fu, Ufuk Topcu
eess.SYcs.LGcs.LOarXiv:1404.7073v22014
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern +2
cs.CLcs.LGarXiv:2212.10678v42022
One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs
Maqun Zhang, Feng Gao, Wankun Chen +3
cs.AIcs.LGarXiv:2608.22026v12026
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
Yun Qu, Qi Wang, Yixiu Mao +8
cs.AIcs.LGarXiv:2602.01970v22026
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski +1
cs.CLcs.LGarXiv:1903.05566v32019
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta, Namit Katariya, Xavier Amatriain +1
cs.CLcs.AIcs.LGarXiv:2110.07356v12021
Machine Learning of coarse-grained Molecular Dynamics Force Fields
Jiang Wang, Simon Olsson, Christoph Wehmeyer +5
physics.comp-phcs.LGstat.MLarXiv:1812.01736v32018
Mixture of LoRA Experts
Xun Wu, Shaohan Huang, Furu Wei
cs.CLcs.LGcs.MMarXiv:2404.13628v12024
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin, Arash Vahdat, Jose Alvarez +3
cs.CVcs.LGarXiv:2112.07658v32021
A Hybrid Approach to Privacy-Preserving Federated Learning
Stacey Truex, Nathalie Baracaldo, Ali Anwar +4
cs.LGstat.MLarXiv:1812.03224v22018
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama +2
cs.SDcs.LGeess.ASarXiv:1710.11439v42017
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao +1
cs.LGstat.MLarXiv:1811.01900v32018
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Chaoyang He, Chien-Sheng Yang +5
cs.LGcs.CRcs.DCarXiv:2109.14236v32021
Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided Stratification
Yimeng Ye, Shuang Chen, Wenxuan Huang +8
cs.LGcs.CVarXiv:2609.07148v12026
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma +4
stat.MLcs.LGarXiv:2107.10098v32021
Self-Augmented Diffusion Guidance for Physics-Informed Generation
Akira Osaka, Naoya Takeishi, Takehisa Yairi
cs.LGarXiv:2608.26748v12026
Identifiability of Causal Graphs using Functional Models
Jonas Peters, Joris Mooij, Dominik Janzing +1
cs.LGstat.MLarXiv:1202.3757v12012
Learning Multi-dimensional Indexes
Vikram Nathan, Jialin Ding, Mohammad Alizadeh +1
cs.DBcs.DScs.LGarXiv:1912.01668v12019
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen +2
stat.MLcs.CRcs.LGarXiv:1811.12395v12018
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
Wanyun Xie, Francesco Tonin, Volkan Cevher
cs.LGcs.CLarXiv:2505.24844v12025
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Sukjun Hwang, Brandon Wang, Albert Gu
cs.LGarXiv:2507.07955v22025
InnoGym: Benchmarking the Innovation Potential of AI Agents
Jintian Zhang, Kewei Xu, Jingsheng Zheng +10
cs.CLcs.AIcs.CVarXiv:2512.01822v22025
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen +2
cs.LGcs.CRstat.MLarXiv:1811.00866v12018
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
cs.HCcs.CLcs.LGarXiv:1906.05714v12019
Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework
Madhu Gupta, Anwesa Dey, Prapti Tala +1
math.OCcs.LGarXiv:2610.01015v12026
Task-Aware Spectral Pruning: A Mixture-of-Masks Framework for Efficient LLM Inference
Ibne Farabi Shihab, Fariya Afrin, Sanjeda Akter +1
cs.LGarXiv:2609.29499v12026
Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation
Haoyuan Deng, Haichao Liu, Wenkai Guo +6
cs.ROcs.LGarXiv:2609.01596v12026
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Dongzhi Jiang, Ziyu Guo, Renrui Zhang +6
cs.CVcs.AIcs.CLarXiv:2505.00703v22025
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang, Mert R. Sabuncu
cs.LGstat.MLarXiv:2006.05065v22020
From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution
Bernard J. Koch, David Peterson
cs.CYcs.AIcs.LGarXiv:2404.06647v22024
Learning by Compression: Risk Estimates Attain the Law-of-Large-Numbers Rate
Simone Garatti, Marco C. Campi
stat.MLcs.LGmath.STarXiv:2610.13442v12026
Physics-Constrained Neural Flow Maps for Long-Horizon Prediction of Spin Dynamics
Haoen Feng, Shenglan Yuan, Shirong Lin
cond-mat.mes-hallcs.LGarXiv:2608.22006v12026
Unsupervised Question Answering by Cloze Translation
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel
cs.CLcs.AIcs.LGarXiv:1906.04980v22019
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu, Hongyang R. Zhang, Christopher Ré
cs.LGcs.CLarXiv:2005.00944v12020
Learning from Historical Activations in Graph Neural Networks
Yaniv Galron, Hadar Sinai, Haggai Maron +1
cs.LGcs.AIarXiv:2601.01123v22026
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Eric Wallace, Kai Xiao, Reimar Leike +3
cs.CRcs.CLcs.LGarXiv:2404.13208v12024
One Thing Leads to Another: The Essentials of Time Series Causal Discovery
Kurt Butler, Damian Machlanski, Michael P. J. Camilleri +5
eess.SPcs.LGstat.MLarXiv:2610.13430v12026
From Tables to Time: Extending TabPFN-v2 to Time Series Forecasting
Shi Bin Hoo, Samuel Müller, David Salinas +1
cs.LGarXiv:2501.02945v42025
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon +13
cs.ROcs.CLcs.CVarXiv:2410.11758v22024
Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks
Dmitrii Seletkov, Paul Hager, Georgios Kaissis +3
cs.LGarXiv:2603.29475v22026
A Mean-Field Optimal Control Formulation of Deep Learning
Weinan E, Jiequn Han, Qianxiao Li
math.OCcs.LGarXiv:1807.01083v12018
[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Lixin Fan, Kam Woh Ng, Chee Seng Chan
cs.CRcs.CVcs.LGarXiv:1909.07830v32019
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat +4
cs.LGcs.CLcs.CVarXiv:2203.11933v42022
Online Learning with LLM Experts from Limited Feedback
Wang Wei, Soumyabrata Pal, Koyel Mukherjee +4
cs.LGstat.MLarXiv:2609.05820v12026
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen, Xiaohua Zhai, Marvin Ritter +2
cs.LGcs.CVstat.MLarXiv:1811.11212v22018
ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
Samin Mahdizadeh Sani, Max Ku, Nima Jamali +23
cs.GRcs.AIcs.CVarXiv:2603.27862v12026
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan, Dieter Fox
cs.LGcs.AIcs.CVarXiv:1606.02378v32016
Accelerating Linear Bandits with Persistent Candidate Sets
Bingkui Tong, Daria Korovaitceva, Marina Sheshukova +2
cs.LGarXiv:2610.13407v12026
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar, Yoav Goldberg
cs.CLcs.LGstat.MLarXiv:1808.06640v22018
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James, Zicong Ma, David Rovick Arrojo +1
cs.ROcs.AIcs.CVarXiv:1909.12271v12019
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
cs.LGcs.NEstat.MLarXiv:1703.07950v22017
Learning to Search with MCTSnets
Arthur Guez, Théophane Weber, Ioannis Antonoglou +5
cs.AIcs.LGstat.MLarXiv:1802.04697v22018
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun, Thomas Steinke
cs.CRcs.DScs.ITarXiv:1605.02065v12016
A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling
Kirill Skobelev, Eric Fithian, Yegor Baranovski +9
cs.AIcs.CVcs.LGarXiv:2603.27341v42026
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels +2
cs.LGcs.AIstat.MLarXiv:1605.07079v22016
SPARCL: Spectral Partitioned Analytic Continual Learning
James Hartley, Zeropy Surio, Daniel Whitmore +2
cs.LGarXiv:2608.21307v12026
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Cynthia Rudin
stat.MLcs.LGarXiv:1811.10154v32018
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Chuofan Ma, Yi Jiang, Jiannan Wu +2
cs.CVcs.AIcs.CLarXiv:2404.13013v12024

Machine Learning

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts

Out of One, Many: Using Language Models to Simulate Human Samples

Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias

One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models

Benchmarking Natural Language Understanding Services for building Conversational Agents

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

Machine Learning of coarse-grained Molecular Dynamics Force Fields

Mixture of LoRA Experts

AdaViT: Adaptive Tokens for Efficient Vision Transformer

A Hybrid Approach to Privacy-Preserving Federated Learning

Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided Stratification

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

Self-Augmented Diffusion Guidance for Physics-Informed Generation

Identifiability of Causal Graphs using Functional Models

Learning Multi-dimensional Indexes

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling

InnoGym: Benchmarking the Innovation Potential of AI Agents

Efficient Neural Network Robustness Certification with General Activation Functions

A Multiscale Visualization of Attention in the Transformer Model

Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework

Task-Aware Spectral Pruning: A Mixture-of-Masks Framework for Efficient LLM Inference

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

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Self-Distillation as Instance-Specific Label Smoothing

From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution

Learning by Compression: Risk Estimates Attain the Law-of-Large-Numbers Rate

Physics-Constrained Neural Flow Maps for Long-Horizon Prediction of Spin Dynamics

Unsupervised Question Answering by Cloze Translation

Understanding and Improving Information Transfer in Multi-Task Learning

Learning from Historical Activations in Graph Neural Networks

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

One Thing Leads to Another: The Essentials of Time Series Causal Discovery

From Tables to Time: Extending TabPFN-v2 to Time Series Forecasting

Latent Action Pretraining from Videos

Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks

A Mean-Field Optimal Control Formulation of Deep Learning

[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning

Online Learning with LLM Experts from Limited Feedback

Self-Supervised GANs via Auxiliary Rotation Loss

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks

SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

Accelerating Linear Bandits with Persistent Candidate Sets

Adversarial Removal of Demographic Attributes from Text Data

RLBench: The Robot Learning Benchmark & Learning Environment

Failures of Gradient-Based Deep Learning

Learning to Search with MCTSnets

Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds

A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

SPARCL: Spectral Partitioned Analytic Continual Learning

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models