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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22,021 to 22,080 of 33,202

Protein-Ligand Scoring with Convolutional Neural Networks
Matthew Ragoza, Joshua Hochuli, Elisa Idrobo +2
stat.MLcs.LGq-bio.BMarXiv:1612.02751v12016
MINT: A Universal Zero-Shot Predictor for Transaction Data
Parameswaran Kamalaruban, Viktor Drobnyi, Maeve Madigan +3
cs.LGcs.CLarXiv:2608.14198v12026
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
Yandan Yang, Baoxiong Jia, Peiyuan Zhi +1
cs.CVcs.AIcs.LGarXiv:2404.09465v22024
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
Daniel Hennes, Zun Li, John Schultz +1
cs.GTcs.AIcs.LGarXiv:2603.10098v12026
KVMem: Virtualizing Million-Token Agent Workspaces on a Consumer GPU
Di Chai, Leye Wang, Zeshen Su +2
cs.LGarXiv:2609.04852v12026
Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu, Zhuoran Yang, Mladen Kolar +1
cs.LGstat.MLarXiv:1910.12156v12019
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong, Riccardo Volpi +1
stat.MLcs.LGarXiv:1710.10571v52017
GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer
Adinath Madhavrao Dukre, Abdullah Mohammad, Yifan Lu +3
cs.LGarXiv:2610.12528v12026
Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition
Wei-Ning Hsu, James Glass
cs.CLcs.LGcs.SDarXiv:1803.02551v12018
The Benchmark Lottery
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko +5
cs.LGcs.AIcs.CLarXiv:2107.07002v12021
Asymptotics of Wide Networks from Feynman Diagrams
Ethan Dyer, Guy Gur-Ari
cs.LGhep-thstat.MLarXiv:1909.11304v12019
GCA: Global Centroid Alignment in Federated Learning
Jong-Ik Park, Harry Jiang, Logan Blakely +3
cs.LGcs.DCarXiv:2608.22593v12026
NS-ATTENTION: Newton-Schulz Transformations of Attention Outputs in Vision Transformers
Xiaohe Jiang, Guoqiang Zhang, Tianjin Huang +1
cs.LGarXiv:2609.27735v22026
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang, Devi Parikh, Dhruv Batra
cs.CVcs.LGarXiv:1604.03628v32016
A statistical approach to bias in zero-shot learning: the lens of handwriting recognition
Clarence Chew, Gim Siang Chia, Sukalpa Chanda +2
stat.MLcs.AIcs.CVarXiv:2609.10084v12026
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang, Jianguo Zhang, Weidong Bao +3
cs.LGcs.AIcs.DCarXiv:1809.03428v32018
Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier
Come Fiegel, Pierre Menard, Tadashi Kozuno +2
cs.LGstat.MLarXiv:2604.15242v12026
CADENCE: Closing the Reasoning Gap via Coverage-Adaptive On-Policy Distillation
Satyam Kumar, Saurabh Jha
cs.LGcs.AIarXiv:2607.16955v12026
Vision Transformers are Parameter-Efficient Audio-Visual Learners
Yan-Bo Lin, Yi-Lin Sung, Jie Lei +2
cs.CVcs.CLcs.LGarXiv:2212.07983v22022
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
Eric Qu, Brandon M. Wood, Aditi S. Krishnapriyan +1
cs.LGcond-mat.mtrl-scics.CEarXiv:2603.06567v12026
GD$^2$PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization
Haotian Liu, Yihao Liu, Jingwei Ni +11
cs.LGarXiv:2606.16771v12026
DeepPINK: reproducible feature selection in deep neural networks
Yang Young Lu, Yingying Fan, Jinchi Lv +1
cs.LGstat.MLarXiv:1809.01185v22018
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena +1
cs.LGcs.CVstat.MLarXiv:1910.12027v22019
What can linear attention learn from nonlinear teachers in-context?
Mary Letey, Arman Rysmakhanov, Yue M. Lu +2
stat.MLcs.LGarXiv:2610.10761v12026
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu +1
cs.LGcs.DCmath.OCarXiv:1709.03528v52017
Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning
Zahra Dehghani, Pablo Piantanida, Mohammadhadi Shateri
cs.LGcs.CVarXiv:2609.02018v12026
A Field Guide to Federated Optimization
Jianyu Wang, Zachary Charles, Zheng Xu +50
cs.LGarXiv:2107.06917v12021
Scheduling Recursive Reasoning in Looped Transformers
Boyuan Wang, Chengyao Yu, Jiaxi Ren +3
cs.LGarXiv:2609.36653v12026
Improving aircraft performance using machine learning: a review
Soledad Le Clainche, Esteban Ferrer, Sam Gibson +3
cs.LGphysics.data-anphysics.flu-dynarXiv:2210.11481v12022
Population-Based Black-Box Optimization for Biological Sequence Design
Christof Angermueller, David Belanger, Andreea Gane +5
cs.LGcs.NEstat.MLarXiv:2006.03227v22020
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Ganqu Cui, Yuchen Zhang, Jiacheng Chen +14
cs.LGcs.AIcs.CLarXiv:2505.22617v12025
Proximity Forest: An effective and scalable distance-based classifier for time series
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier +5
cs.LGstat.MLarXiv:1808.10594v22018
PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning
Ruizhe Huang, Chengran Li, Xiaochuan Shi
cs.LGarXiv:2609.04832v12026
Sparse coding for multitask and transfer learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
cs.LGstat.MLarXiv:1209.0738v32012
Self-Supervised Models are Continual Learners
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda +3
cs.CVcs.LGarXiv:2112.04215v22021
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
cs.LGcs.AIarXiv:1203.0550v32012
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu +3
cs.CVcs.GRcs.LGarXiv:1711.11585v22017
Hierarchical Prompting Assists Large Language Model on Web Navigation
Abishek Sridhar, Robert Lo, Frank F. Xu +2
cs.CLcs.AIcs.LGarXiv:2305.14257v32023
Low-rank tensor completion: a Riemannian manifold preconditioning approach
Hiroyuki Kasai, Bamdev Mishra
cs.LGcs.NAmath.NAarXiv:1605.08257v12016
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen +2
cs.CLcs.LGarXiv:1808.08437v12018
Memorization in 3D Shape Generation: An Empirical Study
Shu Pu, Boya Zeng, Kaichen Zhou +2
cs.CVcs.LGarXiv:2512.23628v12025
Instruction Mining: Instruction Data Selection for Tuning Large Language Models
Yihan Cao, Yanbin Kang, Chi Wang +1
cs.CLcs.AIcs.LGarXiv:2307.06290v32023
Kimi-Audio Technical Report
KimiTeam, Ding Ding, Zeqian Ju +37
eess.AScs.AIcs.CLarXiv:2504.18425v12025
SelfIE: Self-Interpretation of Large Language Model Embeddings
Haozhe Chen, Carl Vondrick, Chengzhi Mao
cs.CLcs.AIcs.LGarXiv:2403.10949v22024
Divergence controls entropy in distillation
Nicolas Zucchet, Scott W. Linderman
cs.LGcs.CLarXiv:2610.03529v12026
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
Jacob Menick, Nal Kalchbrenner
cs.CVcs.GRcs.LGarXiv:1812.01608v12018
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski, Armand Joulin, David Lopez-Paz +1
stat.MLcs.CVcs.LGarXiv:1707.05776v22017
Generalized Shape Metrics on Neural Representations
Alex H. Williams, Erin Kunz, Simon Kornblith +1
stat.MLcs.LGarXiv:2110.14739v22021
A Widely Applicable Bayesian Information Criterion
Sumio Watanabe
cs.LGstat.MLarXiv:1208.6338v12012
Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning
Mathilde Papillon, Guillermo Bernárdez, Álvaro Ballón Barreiro +4
cs.LGarXiv:2608.15388v12026
Progressive Transformers for End-to-End Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
cs.CVcs.CLcs.LGarXiv:2004.14874v22020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi +2
cs.LGeess.SPmath.OCarXiv:2006.03041v32020
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian +4
cs.CLcs.IRcs.LGarXiv:1907.09748v12019
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu, Lei Wang
quant-phcs.LGstat.MLarXiv:1804.04168v12018
No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel +2
cs.CLcs.AIcs.LGarXiv:2602.20332v12026
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi +14
cs.LGstat.MLarXiv:2103.03098v12021
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann +4
cs.LGcs.AIstat.MLarXiv:1909.10893v62019
AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation
Rishabh Agrawal, Hejie Cui, Shasha Li +2
cs.AIcs.CLcs.LGarXiv:2609.38142v12026
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
Yao Huang, Huanran Chen, Shouwei Ruan +3
cs.LGcs.AIcs.CLarXiv:2505.22411v22025
Training-Aware Target Coverage for Synthetic Data Selection
Yang Ba, Michelle V. Mancenido, Rong Pan
cs.LGcs.AIarXiv:2610.00814v12026

Machine Learning

Protein-Ligand Scoring with Convolutional Neural Networks

MINT: A Universal Zero-Shot Predictor for Transaction Data

PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI

Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models

KVMem: Virtualizing Million-Token Agent Workspaces on a Consumer GPU

Convergent Policy Optimization for Safe Reinforcement Learning

Certifying Some Distributional Robustness with Principled Adversarial Training

GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer

Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition

The Benchmark Lottery

Asymptotics of Wide Networks from Feynman Diagrams

GCA: Global Centroid Alignment in Federated Learning

NS-ATTENTION: Newton-Schulz Transformations of Attention Outputs in Vision Transformers

Joint Unsupervised Learning of Deep Representations and Image Clusters

A statistical approach to bias in zero-shot learning: the lens of handwriting recognition

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier

CADENCE: Closing the Reasoning Gap via Coverage-Adaptive On-Policy Distillation

Vision Transformers are Parameter-Efficient Audio-Visual Learners

A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention

GD$^2$PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization

DeepPINK: reproducible feature selection in deep neural networks

Consistency Regularization for Generative Adversarial Networks

What can linear attention learn from nonlinear teachers in-context?

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning

A Field Guide to Federated Optimization

Scheduling Recursive Reasoning in Looped Transformers

Improving aircraft performance using machine learning: a review

Population-Based Black-Box Optimization for Biological Sequence Design

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Proximity Forest: An effective and scalable distance-based classifier for time series

PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning

Sparse coding for multitask and transfer learning

Self-Supervised Models are Continual Learners

Algorithms for Learning Kernels Based on Centered Alignment

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Hierarchical Prompting Assists Large Language Model on Web Navigation

Low-rank tensor completion: a Riemannian manifold preconditioning approach

Meta-Learning for Low-Resource Neural Machine Translation

Memorization in 3D Shape Generation: An Empirical Study

Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Kimi-Audio Technical Report

SelfIE: Self-Interpretation of Large Language Model Embeddings

Divergence controls entropy in distillation

Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling

Optimizing the Latent Space of Generative Networks

Generalized Shape Metrics on Neural Representations

A Widely Applicable Bayesian Information Criterion

Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning

Progressive Transformers for End-to-End Sign Language Production

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Position Focused Attention Network for Image-Text Matching

Differentiable Learning of Quantum Circuit Born Machine

No One Size Fits All: QueryBandits for Hallucination Mitigation

Accounting for Variance in Machine Learning Benchmarks

Recurrent Independent Mechanisms

AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation

Mitigating Overthinking in Large Reasoning Models via Manifold Steering

Training-Aware Target Coverage for Synthetic Data Selection