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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1,741 to 1,800 of 20,192

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul, Arjun Ashok, Andrew Robert Williams +15
cs.LGcs.AIarXiv:2310.08278v32023
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
physics.app-phcs.LGarXiv:2406.03372v12024
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
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
Bhawesh Kumar, Charlie Lu, Gauri Gupta +4
cs.CLcs.LGstat.MLarXiv:2305.18404v32023
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Xinyin Ma, Gongfan Fang, Michael Bi Mi +1
cs.LGcs.CVarXiv:2406.01733v22024
Translation Artifacts in Cross-lingual Transfer Learning
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.LGarXiv:2004.04721v42020
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Mingzhe Liu, Han Huang, Hao Feng +3
cs.LGarXiv:2302.09746v12023
Correlated initialization of deep residual networks
Felix Benning, Ivan Nourdin, Giovanni Peccati
math.PRcs.LGstat.MLarXiv:2609.03589v12026
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry
Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman +3
cs.CVcs.LGarXiv:2401.15563v32024
Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
Anhao Zhao, Haoran Xin, Yingqi Fan +3
cs.LGcs.AIcs.CLarXiv:2605.16826v12026
CycleResearcher: Improving Automated Research via Automated Review
Yixuan Weng, Minjun Zhu, Guangsheng Bao +4
cs.CLcs.AIcs.CYarXiv:2411.00816v32024
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Ziqi Li
cs.LGstat.MLarXiv:2312.03675v22023
We're Different, We're the Same: Creative Homogeneity Across LLMs
Emily Wenger, Yoed Kenett
cs.CYcs.AIcs.CLarXiv:2501.19361v12025
A Review of Deep Transfer Learning and Recent Advancements
Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
cs.LGcs.AIcs.CVarXiv:2201.09679v22022
CMA-ES for Hyperparameter Optimization of Deep Neural Networks
Ilya Loshchilov, Frank Hutter
cs.NEcs.LGarXiv:1604.07269v12016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Hao Wang, Dit-Yan Yeung
stat.MLcs.CVcs.LGarXiv:1608.06884v22016
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
Vinicius M. A. Souza, Denis M. dos Reis, Andre G. Maletzke +1
cs.LGstat.MLarXiv:2005.00113v22020
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Yutaro Yamada, Robert Tjarko Lange, Cong Lu +5
cs.AIcs.CLcs.LGarXiv:2504.08066v12025
Summaries:한국어
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce, Maksym Andriushchenko, Naman D. Singh +2
cs.LGcs.CRcs.CVarXiv:2006.12834v32020
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla
cs.LGcs.CRarXiv:2101.06570v32021
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
Qizhi Pei, Wei Zhang, Jinhua Zhu +5
cs.CLcs.AIcs.LGarXiv:2310.07276v32023
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis +1
cs.LGeess.SParXiv:2011.11542v32020
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
Ahmed A. Abdelrahman, Thorsten Hempel, Aly Khalifa +1
cs.CVcs.LGcs.ROarXiv:2203.03339v12022
Tensor Methods and Recommender Systems
Evgeny Frolov, Ivan Oseledets
cs.LGcs.IRstat.MLarXiv:1603.06038v22016
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia, Kai-Zhan Lee, Yoshua Bengio +1
cs.LGcs.AIarXiv:2107.00793v32021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
Emanuele Rossi, Henry Kenlay, Maria I. Gorinova +3
cs.LGarXiv:2111.12128v32021
Soft-Attention Improves Skin Cancer Classification Performance
Soumyya Kanti Datta, Seyed Mohammad Abuzar Hashemi, Sargur N. Srihari +1
eess.IVcs.CVcs.LGarXiv:2105.03358v42021
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao, Yang Song, Ben Poole +2
cs.LGstat.MLarXiv:2012.08125v22020
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka, Taiji Suzuki
stat.MLcs.LGmath.NAarXiv:1303.6370v12013
Consistency Models Made Easy
Zhengyang Geng, Ashwini Pokle, William Luo +2
cs.LGcs.CVarXiv:2406.14548v22024
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee, Laura Smith, Anca Dragan +1
cs.LGcs.AIcs.HCarXiv:2111.03026v12021
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
Huanjing Yue, Cong Cao, Lei Liao +2
eess.IVcs.CVcs.LGarXiv:2003.14013v12020
Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors
Jeongwhan Choi, Jongwoo Kim, Woosung Kang +1
cs.LGarXiv:2604.19028v12026
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
Weizhong Yan, Lijie Yu
cs.LGstat.MLarXiv:1908.09238v12019
Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka +3
cs.LGarXiv:2502.02723v12025
Large Language Models and the Reverse Turing Test
Terrence Sejnowski
cs.CLcs.AIcs.LGarXiv:2207.14382v92022
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim +4
cs.LGcs.AIarXiv:2305.14152v22023
Deep learning for in vitro prediction of pharmaceutical formulations
Yilong Yang, Zhuyifan Ye, Yan Su +3
cs.LGstat.MLarXiv:1809.02069v12018
Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo +3
cs.LGarXiv:2506.06039v32025
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Rob Ashmore, Radu Calinescu, Colin Paterson
cs.LGcs.SEstat.MLarXiv:1905.04223v12019
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Yucheng Wang, Yuecong Xu, Jianfei Yang +4
cs.LGarXiv:2309.05305v32023
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Senrong You, Yong Liu, Baiying Lei +1
eess.IVcs.CVcs.LGarXiv:2011.04145v12020
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew +3
cs.LGcs.AIstat.MLarXiv:1803.02965v32018
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
cs.LGcs.AIarXiv:2605.17285v12026
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
Filippo Masi, Ioannis Stefanou
cond-mat.mtrl-scics.CEcs.LGarXiv:2108.13137v32021
A spelling correction model for end-to-end speech recognition
Jinxi Guo, Tara N. Sainath, Ron J. Weiss
eess.AScs.AIcs.CLarXiv:1902.07178v12019
Semi-Supervised and Task-Driven Data Augmentation
Krishna Chaitanya, Neerav Karani, Christian Baumgartner +3
cs.CVcs.LGstat.MLarXiv:1902.05396v22019
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
Yixuan Weng, Minjun Zhu, Qiujie Xie +4
cs.CLcs.LGarXiv:2509.26603v12025
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Yuntian Chen, Dou Huang, Dongxiao Zhang +4
cs.LGcs.AIarXiv:2012.06148v22020
SceneGen: Learning to Generate Realistic Traffic Scenes
Shuhan Tan, Kelvin Wong, Shenlong Wang +3
cs.CVcs.AIcs.LGarXiv:2101.06541v12021
What is a meaningful representation of protein sequences?
Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
q-bio.BMcs.LGq-bio.QMarXiv:2012.02679v42020
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye, Chuanlong Xie, Tianle Cai +3
cs.LGarXiv:2106.04496v32021
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Fangkai Yang, Daoming Lyu, Bo Liu +1
cs.LGcs.AIstat.MLarXiv:1804.07779v32018
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks
Junyao Yang, Yucheng Shi, Zhongzhi Li +4
cs.LGcs.AIarXiv:2609.11042v12026
Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations
Muhammad Azmi Umer, Khurum Nazir Junejo, Muhammad Taha Jilani +1
cs.CRcs.LGarXiv:2202.11917v12022
Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network
Weiqi Ji, Sili Deng
q-bio.MNcs.LGphysics.chem-pharXiv:2002.09062v22020
Deep Learning for Free-Hand Sketch: A Survey
Peng Xu, Timothy M. Hospedales, Qiyue Yin +3
cs.CVcs.GRcs.LGarXiv:2001.02600v32020
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
Tayfun Gokmen, O. Murat Onen, Wilfried Haensch
cs.LGcs.NEstat.MLarXiv:1705.08014v12017
Fairness risk measures
Robert C. Williamson, Aditya Krishna Menon
cs.LGstat.MLarXiv:1901.08665v12019
Limitations of Lazy Training of Two-layers Neural Networks
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz +1
stat.MLcs.LGmath.STarXiv:1906.08899v12019

Machine Learning

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Training of Physical Neural Networks

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

Conformal Prediction with Large Language Models for Multi-Choice Question Answering

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

Translation Artifacts in Cross-lingual Transfer Learning

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Correlated initialization of deep residual networks

BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry

Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation

CycleResearcher: Improving Automated Research via Automated Review

GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models

We're Different, We're the Same: Creative Homogeneity Across LLMs

A Review of Deep Transfer Learning and Recent Advancements

CMA-ES for Hyperparameter Optimization of Deep Neural Networks

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

Challenges in Benchmarking Stream Learning Algorithms with Real-world Data

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Membership Inference Attack on Graph Neural Networks

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations

Exploring Contrastive Learning in Human Activity Recognition for Healthcare

L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments

Tensor Methods and Recommender Systems

The Causal-Neural Connection: Expressiveness, Learnability, and Inference

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

Soft-Attention Improves Skin Cancer Classification Performance

Learning Energy-Based Models by Diffusion Recovery Likelihood

Convex Tensor Decomposition via Structured Schatten Norm Regularization

Consistency Models Made Easy

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Large Language Models and the Reverse Turing Test

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

Deep learning for in vitro prediction of pharmaceutical formulations

Do-PFN: In-Context Learning for Causal Effect Estimation

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain

A Multi-Objective Deep Reinforcement Learning Framework

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

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

A spelling correction model for end-to-end speech recognition

Semi-Supervised and Task-Driven Data Augmentation

DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively

Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method

SceneGen: Learning to Generate Realistic Traffic Scenes

What is a meaningful representation of protein sequences?

Towards a Theoretical Framework of Out-of-Distribution Generalization

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks

Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network

Deep Learning for Free-Hand Sketch: A Survey

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

Fairness risk measures

Limitations of Lazy Training of Two-layers Neural Networks