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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26,701 to 26,760 of 33,135

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Yang Li, Jiting Cao, Yan Xu +2
eess.SYcs.LGarXiv:2310.11690v12023
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks
Like Hui, Mikhail Belkin
cs.LGstat.MLarXiv:2006.07322v52020
Membership Inference via Pairwise Likelihood Ratios
Shengjie Niu, Zebin Yun, Yeheng Ge +1
stat.MLcs.LGarXiv:2609.12367v12026
Sorting out Lipschitz function approximation
Cem Anil, James Lucas, Roger Grosse
cs.LGstat.MLarXiv:1811.05381v22018
Superposition of many models into one
Brian Cheung, Alex Terekhov, Yubei Chen +2
cs.LGcs.AIcs.NEarXiv:1902.05522v22019
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan +2
cs.NIcs.AIcs.CRarXiv:2103.16329v82021
A Survey on Face Data Augmentation
Xiang Wang, Kai Wang, Shiguo Lian
cs.CVcs.AIcs.LGarXiv:1904.11685v12019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc V. Le
cs.LGcs.CVstat.MLarXiv:1905.11946v52019
Certified AI Triage of ICU Alarms
Mohammed Sameer Syed, Rozhin Yasaei
cs.LGarXiv:2609.12365v12026
WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild
Yuqiu Liu, Jialin Song, Manolis Savva +1
cs.CVcs.LGarXiv:2509.11114v12025
Clustering Partially Observed Graphs via Convex Optimization
Yudong Chen, Ali Jalali, Sujay Sanghavi +1
cs.LGstat.MLarXiv:1104.4803v42011
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
cs.LGcs.CLcs.SDarXiv:1709.07902v12017
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
Rishabh Tiwari, Haocheng Xi, Aditya Tomar +7
cs.LGcs.AIarXiv:2502.10424v12025
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang, Jaeyoo Park, Bohyung Han
cs.LGarXiv:2204.00895v12022
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu, Jilin Hu, Lekui Zhou +8
cs.LGcs.AIcs.CYarXiv:2403.20150v42024
Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs
Tim De Ryck, Siddhartha Mishra
math.NAcs.LGcs.NAarXiv:2106.14473v22021
FedTP: Federated Learning by Transformer Personalization
Hongxia Li, Zhongyi Cai, Jingya Wang +4
cs.LGcs.AIarXiv:2211.01572v22022
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo, Lei Shi, Xiao-Ming Wu
cs.LGarXiv:2502.09263v32025
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
Bin Shi, Simon S. Du, Weijie J. Su +1
math.OCcs.LGcs.NAarXiv:1902.03694v22019
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Tianlong Chen, Yongduo Sui, Xuxi Chen +2
cs.LGcs.AIstat.MLarXiv:2102.06790v22021
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
cs.LGstat.MLarXiv:1703.03044v22017
SpotServe: Serving Generative Large Language Models on Preemptible Instances
Xupeng Miao, Chunan Shi, Jiangfei Duan +4
cs.DCcs.CLcs.LGarXiv:2311.15566v12023
Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
Erdem Koyuncu
cs.LGarXiv:2609.12337v12026
The Numerical Linear Algebra of Large Language Models
Abdelkader Baggag, Yousef Saad
cs.LGcs.NAmath.NAarXiv:2610.04631v12026
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya +9
cs.NEcs.ETcs.LGarXiv:2006.07239v32020
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu +1
cs.LGq-bio.BMarXiv:2209.05710v12022
Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination
Yihong Zhou, Hanbin Yang, Thomas Morstyn
cs.AIcs.LGcs.SYarXiv:2609.28182v12026
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu +1
cs.LGstat.MLarXiv:1910.00189v22019
Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation
Wentao Ye, Zhanming Shen, Zhiqing Xiao +3
cs.LGarXiv:2609.00762v12026
Natural Analysts in Adaptive Data Analysis
Tijana Zrnic, Moritz Hardt
cs.LGmath.STstat.MLarXiv:1901.11143v22019
PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional Consulting
Evgenii Garmashov, Nikita Kulin, Artur Khairullin +5
cs.HCcs.AIcs.CLarXiv:2608.24907v12026
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi
cs.LGcs.AIcs.DCarXiv:1610.05202v22016
Recurrent computations for visual pattern completion
Hanlin Tang, Martin Schrimpf, Bill Lotter +6
q-bio.NCcs.AIcs.CVarXiv:1706.02240v22017
DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory
Yining Li, Dongchen Han, Jie Fu +1
cs.LGcs.AIcs.CLarXiv:2610.08553v12026
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio, Francis Bach, Simon Lacoste-Julien
cs.LGmath.OCstat.MLarXiv:1407.0202v32014
LoRA-RC: Reservoir Computing with Low-Rank Adaptation
Wenbin Wan
cs.AIcs.LGcs.SYarXiv:2609.12327v12026
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo, Chenghao Liu, Akshat Kumar +3
cs.LGcs.AIarXiv:2402.02592v22024
DiffGate: Difficulty-Gated Teacher Guidance for On-Policy Distillation
Karn Tiwari, Varnith Chordia, Prathosh A P
cs.LGarXiv:2610.04596v12026
Agentic Detection of Online Conspiracies
Lior Biton, Oren Tsur
cs.CLcs.LGarXiv:2609.30250v12026
Multi-view Knowledge Graph Embedding for Entity Alignment
Qingheng Zhang, Zequn Sun, Wei Hu +3
cs.AIcs.CLcs.LGarXiv:1906.02390v12019
An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
cs.LGmath.OCstat.MLarXiv:2211.01364v32022
Sampling via Decision-Flow: Training-Free Extraction of Improved Latent Reasoning Paths in Large Language Models
Zhendong Mi, Shaoyi Huang
cs.LGarXiv:2609.12317v12026
Cooperative Multi-Task Semantic Communication for Joint Classification and Regression Tasks
Ahmad Halimi Razlighi, Mohammad Siddiqur Rahman, Maximilian H. V. Tillmann +2
eess.SPcs.LGeess.IVarXiv:2609.03977v12026
Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation Path
Thomas Sesmat, Gabriel Meseguer-Brocal, Geoffroy Peeters
cs.LGcs.AIcs.SDarXiv:2606.07271v32026
Predicting wind pressures around circular cylinders using machine learning techniques
Gang Hu, K. C. S. Kwok
cs.LGphysics.flu-dynstat.MLarXiv:1901.06752v12019
Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures
Yanglin Zhang, Anneke von Seeger, Gilad Lerman +1
cs.LGcs.AIarXiv:2610.04413v12026
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Matthias Feurer, Katharina Eggensperger, Stefan Falkner +2
cs.LGstat.MLarXiv:2007.04074v32020
When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version
Dat Nguyen-Cong, Luong Tran, Tung Kieu
cs.LGarXiv:2608.14067v12026
Conditional Residual Prediction: Improving Autoregressive Video Diffusion without a Bidirectional Teacher
Bowen Zheng, Zhiguang Liu, Jiarong Ou +2
cs.CVcs.AIcs.LGarXiv:2610.11479v12026
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover, Jiaming Song, Alekh Agarwal +4
stat.MLcs.LGcs.NEarXiv:1906.09531v22019
Weakly-Supervised Hierarchical Text Classification
Yu Meng, Jiaming Shen, Chao Zhang +1
cs.CLcs.AIcs.LGarXiv:1812.11270v12018
TOFU: A Task of Fictitious Unlearning for LLMs
Pratyush Maini, Zhili Feng, Avi Schwarzschild +2
cs.LGcs.CLarXiv:2401.06121v12024
TraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause Attribution
Tommaso Bendinelli, Artur Dox, Christian Holz
cs.LGarXiv:2608.27182v12026
Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning
Jean Vassoyan, Nathanaël Beau, Roman Plaud
cs.CLcs.LGarXiv:2502.06533v12025
CEENs: Causality-enforced evolutional networks for solving time-dependent partial differential equations
Jeahan Jung, Heechang Kim, Hyomin Shin +1
cs.LGcs.NAmath.NAarXiv:2610.04405v12026
Symbolic Density Estimators for Unnormalized Distributions
Vikas Kanaujia, Riyansha Singh, Shashank Sharma +1
cs.LGhep-latarXiv:2610.10807v12026
Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks
Damilola Popoola, Souradeep Bhattacharya, Manimaran Govindarasu
cs.CRcs.AIcs.LGarXiv:2609.12305v12026
Generalization Can Emerge in Tabular Foundation Models From a Single Table
Junwei Ma, Nour Shaheen, Alex Labach +4
cs.LGcs.AIarXiv:2511.09665v12025
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
Jianyu Wang, Gauri Joshi
cs.LGcs.DCstat.MLarXiv:1808.07576v32018
Explaining Neural Scaling Laws
Yasaman Bahri, Ethan Dyer, Jared Kaplan +2
cs.LGcond-mat.dis-nnstat.MLarXiv:2102.06701v22021

Machine Learning

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance

Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks

Membership Inference via Pairwise Likelihood Ratios

Sorting out Lipschitz function approximation

Superposition of many models into one

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT

A Survey on Face Data Augmentation

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Certified AI Triage of ICU Alarms

WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild

Clustering Partially Observed Graphs via Convex Optimization

Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache

Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs

FedTP: Federated Learning by Transformer Personalization

Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence

Acceleration via Symplectic Discretization of High-Resolution Differential Equations

A Unified Lottery Ticket Hypothesis for Graph Neural Networks

A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm

SpotServe: Serving Generative Large Language Models on Preemptible Instances

Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit

The Numerical Linear Algebra of Large Language Models

Surrogate gradients for analog neuromorphic computing

MDM: Molecular Diffusion Model for 3D Molecule Generation

Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination

The Non-IID Data Quagmire of Decentralized Machine Learning

Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation

Natural Analysts in Adaptive Data Analysis

PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional Consulting

Decentralized Collaborative Learning of Personalized Models over Networks

Recurrent computations for visual pattern completion

DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

LoRA-RC: Reservoir Computing with Low-Rank Adaptation

Unified Training of Universal Time Series Forecasting Transformers

DiffGate: Difficulty-Gated Teacher Guidance for On-Policy Distillation

Agentic Detection of Online Conspiracies

Multi-view Knowledge Graph Embedding for Entity Alignment

An optimal control perspective on diffusion-based generative modeling

Sampling via Decision-Flow: Training-Free Extraction of Improved Latent Reasoning Paths in Large Language Models

Cooperative Multi-Task Semantic Communication for Joint Classification and Regression Tasks

Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation Path

Predicting wind pressures around circular cylinders using machine learning techniques

Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version

Conditional Residual Prediction: Improving Autoregressive Video Diffusion without a Bidirectional Teacher

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

Weakly-Supervised Hierarchical Text Classification

TOFU: A Task of Fictitious Unlearning for LLMs

TraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause Attribution

Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning

CEENs: Causality-enforced evolutional networks for solving time-dependent partial differential equations

Symbolic Density Estimators for Unnormalized Distributions

Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

Generalization Can Emerge in Tabular Foundation Models From a Single Table

Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms

Explaining Neural Scaling Laws