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)

21,961 to 22,020 of 33,659

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
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
Certified Topological Interaction in Neural Representations: Exact Tests and the Statistic They Require
Sushovan Majhi
cs.LGmath.ATarXiv:2609.08561v22026
SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation
Tianjiao Yu, Xinzhuo Li, Yifan Shen +4
cs.CVcs.AIcs.LGarXiv:2610.02201v12026
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
Rui Yang, Xiaoman Pan, Feng Luo +4
cs.LGcs.AIcs.CLarXiv:2402.10207v62024
Eigenvalue and Generalized Eigenvalue Problems: Tutorial
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
stat.MLcs.LGarXiv:1903.11240v32019
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
cs.LGcs.AIarXiv:2605.17285v12026
BDIP-Net: Dual-Interaction Graph Learning for Property Prediction of Bilayer Materials
An Vuong, Chen Zhao, Jin Hu +2
cs.LGcond-mat.mtrl-scics.AIarXiv:2608.14640v12026
Latent Reasoning with Normalizing Flows
Guancheng Tu, Xiangjun Fu, Suhao Yu +5
cs.CLcs.LGarXiv:2606.06447v12026
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
stat.MLcs.LGarXiv:1704.09011v82017
Large Language Models for Next Point-of-Interest Recommendation
Peibo Li, Maarten de Rijke, Hao Xue +3
cs.IRcs.AIcs.LGarXiv:2404.17591v22024
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth, Haokun Liu, Colin Raffel
cs.LGarXiv:2306.03745v22023
Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods
Saksham Kiroriwal, Julius Pfrommer, Jürgen Beyerer
cs.LGcs.AIcs.ITarXiv:2609.31107v12026
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Daniel Y. Fu, Tri Dao, Khaled K. Saab +3
cs.LGcs.CLarXiv:2212.14052v32022
A Location-Invariant Estimator of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions
Xin Yu, Shuwei Huang, Jicheng Liu +4
cs.LGstat.APstat.MEarXiv:2609.04018v22026
The Implications of Linguistic Illegibility for LLM Security
James Mickens
cs.LGcs.CRarXiv:2609.02852v12026
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo +5
cs.LGcs.CRstat.MLarXiv:1811.03728v12018
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
Hengyuan Kang, Liming Xia, Fuhua Yan +8
eess.IVcs.CVcs.LGarXiv:2005.03227v12020
ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi
Zuhao Zhang, Xu Liu, Kai Wan +3
cs.LGarXiv:2609.09685v12026
All SMILES Variational Autoencoder
Zaccary Alperstein, Artem Cherkasov, Jason Tyler Rolfe
cs.LGstat.MLarXiv:1905.13343v22019
Dual Cross-Attention for Medical Image Segmentation
Gorkem Can Ates, Prasoon Mohan, Emrah Celik
cs.CVcs.LGeess.IVarXiv:2303.17696v12023

Machine Learning

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

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

Certified Topological Interaction in Neural Representations: Exact Tests and the Statistic They Require

SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Eigenvalue and Generalized Eigenvalue Problems: Tutorial

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models

BDIP-Net: Dual-Interaction Graph Learning for Property Prediction of Bilayer Materials

Latent Reasoning with Normalizing Flows

Mostly Exploration-Free Algorithms for Contextual Bandits

Large Language Models for Next Point-of-Interest Recommendation

Soft Merging of Experts with Adaptive Routing

Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

A Location-Invariant Estimator of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions

The Implications of Linguistic Illegibility for LLM Security

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning

ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi

All SMILES Variational Autoencoder

Dual Cross-Attention for Medical Image Segmentation