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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21,481 to 21,540 of 33,304

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh +4
cs.ROcs.AIcs.CVarXiv:2405.05792v12024
Stacked Capsule Autoencoders
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh +1
stat.MLcs.CVcs.LGarXiv:1906.06818v22019
Physics-Informed Neural Networks for AC Optimal Power Flow
Rahul Nellikkath, Spyros Chatzivasileiadis
eess.SYcs.LGarXiv:2110.02672v12021
Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research
Akeem Temitope Otapo, Ghazaleh Khodabandelou, Zuheng Ming +1
cs.LGarXiv:2610.10648v12026
PrivCert: Certifying Statement Support under Differential Privacy
Tsubasa Takahashi, Takumi Hiraoka
cs.CRcs.LGarXiv:2609.38934v12026
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Yongming Rao, Guangyi Chen, Jiwen Lu +1
cs.CVcs.AIcs.LGarXiv:2108.08728v22021
Layerwise Error Attribution for Fast and Robust Mixed-Precision Post-Training Quantization
Samy Houache, Yann Traonmilin, Jean-François Aujol
cs.LGarXiv:2610.09877v12026
Learning to Learn from Noisy Labeled Data
Junnan Li, Yongkang Wong, Qi Zhao +1
cs.LGcs.CVstat.MLarXiv:1812.05214v22018
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell, Faruk Ahmed, Ross Girshick +2
cs.LGstat.MLarXiv:1511.06068v42015
Easy Transfer Learning By Exploiting Intra-domain Structures
Jindong Wang, Yiqiang Chen, Han Yu +2
cs.LGcs.CVstat.MLarXiv:1904.01376v22019
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +2
cs.ITcs.LGstat.MLarXiv:1911.02417v22019
Lyapunov-based Safe Policy Optimization for Continuous Control
Yinlam Chow, Ofir Nachum, Aleksandra Faust +2
cs.LGcs.AIstat.MLarXiv:1901.10031v22019
Satisfying Real-world Goals with Dataset Constraints
Gabriel Goh, Andrew Cotter, Maya Gupta +1
cs.LGarXiv:1606.07558v22016
FRAME: separating sampling variation from representational cause in medical imaging fairness
Mahshad Lotfinia, Daniel Truhn, Andreas Maier +1
cs.CVcs.AIcs.LGarXiv:2608.25981v12026
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
Xudong Lu, Qi Liu, Yuhui Xu +5
cs.CLcs.AIcs.LGarXiv:2402.14800v22024
Universal Thermodynamic Interatomic Potentials for Crystalline Materials
Juno Nam, Bowen Deng, Xiaochen Du +3
cond-mat.mtrl-scicond-mat.stat-mechcs.AIarXiv:2608.14502v12026
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu, Zhan Ling, Fanbo Xiang +6
cs.LGcs.AIcs.CVarXiv:2107.14483v52021
Mission: Impossible Language Models
Julie Kallini, Isabel Papadimitriou, Richard Futrell +2
cs.CLcs.AIcs.LGarXiv:2401.06416v22024
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna +5
cs.LGcs.CYcs.DBarXiv:2010.13561v22020
Graph Residual Conjugate Diffusion: SNR-Equalized Heat Flow for Graph Signals
Jinwei Li, Daniel Tenbrinck
cs.LGarXiv:2609.39658v12026
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
cs.DCcs.AIcs.LGarXiv:2505.01821v52025
CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas, Yihe Dong, Gautam Kamath +1
stat.MLcs.CRcs.DSarXiv:2006.06618v32020
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Remi Denton, Wojciech Zaremba, Joan Bruna +2
cs.CVcs.LGarXiv:1404.0736v22014
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Kimin Lee, Mantas Mazeika
cs.LGcs.CVstat.MLarXiv:1901.09960v52019
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chaochao Yan, Qianggang Ding, Peilin Zhao +4
q-bio.QMcs.LGarXiv:2011.02893v12020
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen +3
cs.LGcs.CVstat.MLarXiv:1904.00284v42019
MemoWM: How World Models Change What Agents Need to Remember
Bingfan Zeng, Zhisheng Chen, Chenbo Sang +6
cs.LGcs.AIarXiv:2610.10778v12026
Replay-Guided Adversarial Environment Design
Minqi Jiang, Michael Dennis, Jack Parker-Holder +3
cs.LGcs.AIarXiv:2110.02439v22021
How Transformers Learn Causal Structure with Gradient Descent
Eshaan Nichani, Alex Damian, Jason D. Lee
cs.LGcs.ITmath.ITarXiv:2402.14735v22024
A survey of dynamic graph neural networks
Yanping Zheng, Lu Yi, Zhewei Wei
cs.LGcs.SIarXiv:2404.18211v12024
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Aili Chen, Aonian Li, Baichuan Zhou +215
cs.AIcs.CLcs.LGarXiv:2605.26494v22026
Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation
Johanna Angulo, Víctor Yeste, Hector Espinos-Morato
cs.CRcs.AIcs.CLarXiv:2608.29463v12026
Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion
Rushan Geng, Cuicui Luo
cs.LGcs.AIarXiv:2609.14279v12026
Depth creates no more spurious local minima
Li Zhang
cs.LGstat.MLarXiv:1901.09827v22019
Hyperbolic Graph Attention Network
Yiding Zhang, Xiao Wang, Xunqiang Jiang +2
cs.LGstat.MLarXiv:1912.03046v12019
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster, Tristan J. Webb, Xin Wang +11
cs.LGmath.NAstat.MLarXiv:1711.02213v22017
Dream to Remember: Continual Steering of Generalist Robot Policies with World Models
Bahey Tharwat, Iman Nematollahi, Marvin Alles +3
cs.ROcs.CVcs.LGarXiv:2610.13816v12026
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri
cs.LGstat.MLarXiv:1705.08991v12017
A Closed-Loop Non-Asymptotic Convergence Analysis of PPO with Learned Critics and Clipping
Junwei Su, Mengfan Liu, Yanyong Zhang +1
cs.LGarXiv:2610.10273v12026
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski, Daniel C. Castro, Ben Glocker
stat.MLcs.LGarXiv:2006.06485v22020
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang, Zihan Wang, Jiateng Liu +4
cs.CLcs.AIcs.LGarXiv:2309.10691v32023
Exposing Blind Spots in Deep Imbalanced Regression Evaluation
Noah C. Puetz, Jens U. Brandt, Marc Hilbert +3
cs.LGcs.AIarXiv:2609.25152v12026
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Boris Bonev, Thorsten Kurth, Christian Hundt +4
cs.LGmath.NAphysics.ao-pharXiv:2306.03838v12023
Efficient Decentralized Deep Learning by Dynamic Model Averaging
Michael Kamp, Linara Adilova, Joachim Sicking +4
cs.LGcs.AIcs.DCarXiv:1807.03210v22018
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen, Aditya Grover, Maximilian Nickel +1
stat.MLcs.AIcs.LGarXiv:2108.08052v22021
Hyperparameter Optimization: A Spectral Approach
Elad Hazan, Adam Klivans, Yang Yuan
cs.LGcs.AImath.OCarXiv:1706.00764v42017
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Si-Guo Fang, Dong Huang, Xiao-Sha Cai +3
cs.LGcs.AIarXiv:2209.04187v22022
Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution
Shixuan Liu, Joan Serrà, Kin Wai Cheuk +6
cs.LGcs.AIarXiv:2609.38776v12026
The Debate Over Understanding in AI's Large Language Models
Melanie Mitchell, David C. Krakauer
cs.LGcs.AIarXiv:2210.13966v32022
Pre-training of Bayesian Optimization Algorithm through Bayesian Optimization
Satoshi Katayama, Shoyo Hunt, Shintaro Masuda +1
cs.LGstat.MLarXiv:2610.10186v12026
Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai
Margarita Veshchezerova, Egor Barashov, Evgenii Gusev +4
physics.geo-phcs.LGarXiv:2609.09246v12026
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao, Alexander Robey, Edgar Dobriban +3
cs.LGcs.AIarXiv:2310.08419v42023
Autoregressive Diffusion Models
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings +3
cs.LGstat.MLarXiv:2110.02037v22021
SR-TTA: Spatial-Redundancy Test-Time Adaptation for Interference-Robust Respiration Sensing
Jingyuan Liu, Zheng Chang, Haoqiu Xiong +2
cs.LGarXiv:2610.11755v12026
Group-aware Contrastive Regression for Action Quality Assessment
Xumin Yu, Yongming Rao, Wenliang Zhao +2
cs.CVcs.AIcs.LGarXiv:2108.07797v12021
Reward Design with Language Models
Minae Kwon, Sang Michael Xie, Kalesha Bullard +1
cs.LGcs.AIcs.CLarXiv:2303.00001v12023
Why Learning Rediscovers the Closed-Form Diagonal Regularizer
Jeahn Han, Pyojin Kim
stat.MLcs.LGcs.ROarXiv:2609.09656v12026
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization
Zhicheng Cai, Xinyuan Guo, Hanlin Wu +4
cs.LGcs.AIarXiv:2607.10169v12026
Observational Overfitting in Reinforcement Learning
Xingyou Song, Yiding Jiang, Stephen Tu +2
cs.LGcs.AIstat.MLarXiv:1912.02975v22019
From Shortcut Learning to Discrete Neural Insertion Sort
Konstantinos Mylonas, Thrasyvoulos Spyropoulos
cs.LGcs.AIarXiv:2609.31114v12026

Machine Learning

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation

Stacked Capsule Autoencoders

Physics-Informed Neural Networks for AC Optimal Power Flow

Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research

PrivCert: Certifying Statement Support under Differential Privacy

Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Layerwise Error Attribution for Fast and Robust Mixed-Precision Post-Training Quantization

Learning to Learn from Noisy Labeled Data

Reducing Overfitting in Deep Networks by Decorrelating Representations

Easy Transfer Learning By Exploiting Intra-domain Structures

Energy Efficient Federated Learning Over Wireless Communication Networks

Lyapunov-based Safe Policy Optimization for Continuous Control

Satisfying Real-world Goals with Dataset Constraints

FRAME: separating sampling variation from representational cause in medical imaging fairness

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models

Universal Thermodynamic Interatomic Potentials for Crystalline Materials

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Mission: Impossible Language Models

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

Graph Residual Conjugate Diffusion: SNR-Equalized Heat Flow for Graph Signals

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

CoinPress: Practical Private Mean and Covariance Estimation

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

Using Pre-Training Can Improve Model Robustness and Uncertainty

RetroXpert: Decompose Retrosynthesis Prediction like a Chemist

COCO-GAN: Generation by Parts via Conditional Coordinating

MemoWM: How World Models Change What Agents Need to Remember

Replay-Guided Adversarial Environment Design

How Transformers Learn Causal Structure with Gradient Descent

A survey of dynamic graph neural networks

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation

Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion

Depth creates no more spurious local minima

Hyperbolic Graph Attention Network

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

Dream to Remember: Continual Steering of Generalist Robot Policies with World Models

Approximation and Convergence Properties of Generative Adversarial Learning

A Closed-Loop Non-Asymptotic Convergence Analysis of PPO with Learned Critics and Clipping

Deep Structural Causal Models for Tractable Counterfactual Inference

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Exposing Blind Spots in Deep Imbalanced Regression Evaluation

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Efficient Decentralized Deep Learning by Dynamic Model Averaging

Moser Flow: Divergence-based Generative Modeling on Manifolds

Hyperparameter Optimization: A Spectral Approach

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution

The Debate Over Understanding in AI's Large Language Models

Pre-training of Bayesian Optimization Algorithm through Bayesian Optimization

Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai

Jailbreaking Black Box Large Language Models in Twenty Queries

Autoregressive Diffusion Models

SR-TTA: Spatial-Redundancy Test-Time Adaptation for Interference-Robust Respiration Sensing

Group-aware Contrastive Regression for Action Quality Assessment

Reward Design with Language Models

Why Learning Rediscovers the Closed-Form Diagonal Regularizer

Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization

Observational Overfitting in Reinforcement Learning

From Shortcut Learning to Discrete Neural Insertion Sort