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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27,721 to 27,780 of 33,096

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
Chong You, Chun-Guang Li, Daniel P. Robinson +1
cs.LGcs.CVstat.MLarXiv:1605.02633v12016
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
Kai-Chieh Hsu, Haimin Hu, Jaime Fernández Fisac
eess.SYcs.LGcs.ROarXiv:2309.05837v12023
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra, Gregory Valiant
cs.LGcs.DSarXiv:1004.4223v12010
Local gradient neural operator
Baiming Zhang, Jinsong Tang, Ying Xu +2
cs.LGmath-phmath.MParXiv:2609.07752v12026
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
Ruihan Liu, Yu Ji, Jianbo Yu +2
cs.LGcs.AIarXiv:2608.24386v12026
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
Luyang Fang, Xiaowei Yu, Jiazhang Cai +23
cs.CLcs.LGstat.MLarXiv:2504.14772v22025
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel, Taner Topal, Akhil Mathur +8
cs.LGcs.CVstat.MLarXiv:2007.14390v52020
Cognitive Architectures for Language Agents
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan +1
cs.AIcs.CLcs.LGarXiv:2309.02427v32023
Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signals
Guopeng Li, Yiyang Duan, Yiru Jiao +1
cs.LGcs.ROarXiv:2608.26571v12026
Testing Robustness Against Unforeseen Adversaries
Max Kaufmann, Daniel Kang, Yi Sun +9
cs.LGcs.CRcs.CVarXiv:1908.08016v42019
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
cs.LGcs.AIarXiv:1605.08478v12016
Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
Alexander Ryabchenko, Jian Qian, Wenlong Mou
cs.LGmath.OCarXiv:2609.08277v12026
Max-Sliced Wasserstein Distance and its use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun +6
cs.LGcs.CVstat.MLarXiv:1904.05877v22019
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali +4
cs.CVcs.AIcs.CLarXiv:2401.05224v22024
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker +3
cs.LGcs.AIarXiv:2311.10242v22023
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
cs.LGstat.MLarXiv:1909.11299v22019
Transfer Learning for Non-Intrusive Load Monitoring
Michele DIncecco, Stefano Squartini, Mingjun Zhong
cs.LGstat.MLarXiv:1902.08835v32019
Building Better Activation Oracles
Jan Bauer, Celeste De Schamphelaere, Adam Karvonen +2
cs.LGcs.AIarXiv:2606.02609v22026
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang, Lanning Wei +2
cs.AIcs.LGstat.MLarXiv:1810.13306v52018
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden
cs.LGmath.DSarXiv:2406.07507v22024
Adversarial Video Generation on Complex Datasets
Aidan Clark, Jeff Donahue, Karen Simonyan
cs.CVcs.LGstat.MLarXiv:1907.06571v22019
Maximal Sparsity with Deep Networks?
Bo Xin, Yizhou Wang, Wen Gao +1
cs.LGarXiv:1605.01636v22016
On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models
William L. Tong, Aryo Lotfi, Emmanuel Abbe +6
cs.LGcs.AIarXiv:2609.16540v12026
Learning to Compute Word Embeddings On the Fly
Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski +3
cs.LGcs.CLarXiv:1706.00286v32017
Machine learning pipeline for battery state of health estimation
Darius Roman, Saurabh Saxena, Valentin Robu +2
cs.LGarXiv:2102.00837v12021
Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security
Monica Dutta, Deepali Gupta, Sumegh Tharewal +5
eess.SPcs.LGarXiv:2503.13528v32025
MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2
cs.LGcs.AIstat.COarXiv:2610.01641v12026
Neuro-Symbolic Artificial Intelligence: Current Trends
Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart +1
cs.AIcs.LGarXiv:2105.05330v22021
PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency
Zhangyi Liu, Huaizhi Qu, Xiaowei Yin +4
cs.LGcs.AIarXiv:2602.16745v22026
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Chen Li, Xiaoling Hu, Shahira Abousamra +1
cs.CVcs.LGarXiv:2308.09887v12023
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
Jonathan Scarlett, Ilijia Bogunovic, Volkan Cevher
stat.MLcs.ITcs.LGarXiv:1706.00090v32017
Learning Single Camera Depth Estimation using Dual-Pixels
Rahul Garg, Neal Wadhwa, Sameer Ansari +1
cs.CVcs.LGarXiv:1904.05822v32019
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018
Will Bilevel Optimizers Benefit from Loops
Kaiyi Ji, Mingrui Liu, Yingbin Liang +1
cs.LGmath.OCstat.MLarXiv:2205.14224v32022
Discovered Policy Optimisation
Chris Lu, Jakub Grudzien Kuba, Alistair Letcher +3
cs.LGcs.AIarXiv:2210.05639v22022
On Variational Bounds of Mutual Information
Ben Poole, Sherjil Ozair, Aaron van den Oord +2
cs.LGstat.MLarXiv:1905.06922v12019
Learning Latent Representations for Speech Generation and Transformation
Wei-Ning Hsu, Yu Zhang, James Glass
cs.CLcs.LGstat.MLarXiv:1704.04222v22017
Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning
Fanding Huang, Guanbo Huang, Xiao Fan +7
cs.LGcs.CLarXiv:2509.23808v52025
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
cs.CVcs.AIcs.CLarXiv:2208.04202v22022
Does Neural Machine Translation Benefit from Larger Context?
Sebastien Jean, Stanislas Lauly, Orhan Firat +1
stat.MLcs.CLcs.LGarXiv:1704.05135v12017
The Multilingual Amazon Reviews Corpus
Phillip Keung, Yichao Lu, György Szarvas +1
cs.CLcs.IRcs.LGarXiv:2010.02573v12020
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li, Shikuang Deng, Xin Dong +2
cs.LGarXiv:2106.06984v12021
Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs
Shahzeb Qamar, Lorenz Sparrenberg, Christian Bauckhage +5
cs.LGcs.AIarXiv:2609.07664v22026
Linking GloVe with word2vec
Tianze Shi, Zhiyuan Liu
cs.CLcs.LGstat.MLarXiv:1411.5595v22014
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
cs.LGcs.CRmath.OCarXiv:2006.15429v22020
Hedging predictions in machine learning
Alexander Gammerman, Vladimir Vovk
cs.LGarXiv:cs/0611011v12006
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa +8
cs.AIcs.CLcs.LGarXiv:1809.05724v22018
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai
cs.CLcs.AIcs.LGarXiv:2208.10264v52022
Sequential Pretraining Favors Large Models
Mohnish Harwani, Yujia Zheng
cs.LGarXiv:2610.09611v12026
Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data
Siyuan Tang, Gongjun Xu, Ji Zhu
stat.MEcs.LGstat.MLarXiv:2608.20562v12026
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster, François Petitjean, Geoffrey I. Webb
cs.LGstat.MLarXiv:1910.13051v12019
Foundation Models Meet Agriculture: Challenges Beyond Pretraining
Vishal Nedungadi, Xingguo Xiong, Marc Rußwurm +1
cs.LGarXiv:2608.30392v12026
Language models suffer from a curse of ambiguity
Nicolas Zucchet, Hyun Dong Lee, Scott Linderman
cs.CLcs.LGcs.NEarXiv:2608.15448v12026
Stream-Based Active Learning with Cooperative Neural Networks for Data-Efficient Partial Inverse Design: An Automotive Glass Run Channel Case Study
Agung Nugraha, Hyerin Kwon, Heungjun Im +2
cs.LGcs.AIarXiv:2610.09848v12026
V-CoLA: Vision Token Compression with Linear Attention
Hao Jiang, Yiru Mao, Tianpeng Bu +9
cs.CVcs.LGarXiv:2610.11251v12026
Continual Learning Through Synaptic Intelligence
Friedemann Zenke, Ben Poole, Surya Ganguli
cs.LGq-bio.NCstat.MLarXiv:1703.04200v32017
Corpus-based Learning of Analogies and Semantic Relations
Peter D. Turney, Michael L. Littman
cs.LGcs.CLcs.IRarXiv:cs/0508103v12005
Prediction-powered inference for time series across space
Shahzar Rizvi, David Burt, Vishwak Srinivasan +3
stat.MEcs.LGstat.MLarXiv:2610.08715v12026
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux +1
cs.LGarXiv:2106.06935v42021
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
Hongyang Du, Junjie Ye, Xiaoyan Cong +7
cs.CVcs.AIcs.LGarXiv:2601.23286v42026

Machine Learning

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems

Settling the Polynomial Learnability of Mixtures of Gaussians

Local gradient neural operator

Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions

Flower: A Friendly Federated Learning Research Framework

Cognitive Architectures for Language Agents

Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signals

Testing Robustness Against Unforeseen Adversaries

Model-Free Imitation Learning with Policy Optimization

Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

Max-Sliced Wasserstein Distance and its use for GANs

Do Vision and Language Encoders Represent the World Similarly?

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models

Transfer Learning for Non-Intrusive Load Monitoring

Building Better Activation Oracles

Automated Machine Learning: From Principles to Practices

Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Adversarial Video Generation on Complex Datasets

Maximal Sparsity with Deep Networks?

On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models

Learning to Compute Word Embeddings On the Fly

Machine learning pipeline for battery state of health estimation

Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security

MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees

Neuro-Symbolic Artificial Intelligence: Current Trends

PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency

Calibrating Uncertainty for Semi-Supervised Crowd Counting

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Learning Single Camera Depth Estimation using Dual-Pixels

Don't forget, there is more than forgetting: new metrics for Continual Learning

Will Bilevel Optimizers Benefit from Loops

Discovered Policy Optimisation

On Variational Bounds of Mutual Information

Learning Latent Representations for Speech Generation and Transformation

Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Does Neural Machine Translation Benefit from Larger Context?

The Multilingual Amazon Reviews Corpus

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration

Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs

Linking GloVe with word2vec

Understanding Gradient Clipping in Private SGD: A Geometric Perspective

Hedging predictions in machine learning

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Sequential Pretraining Favors Large Models

Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Foundation Models Meet Agriculture: Challenges Beyond Pretraining

Language models suffer from a curse of ambiguity

Stream-Based Active Learning with Cooperative Neural Networks for Data-Efficient Partial Inverse Design: An Automotive Glass Run Channel Case Study

V-CoLA: Vision Token Compression with Linear Attention

Continual Learning Through Synaptic Intelligence

Corpus-based Learning of Analogies and Semantic Relations

Prediction-powered inference for time series across space

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation