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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9,781 to 9,840 of 19,974

Learning PDE Time-Stepping with Neural Cellular Automata
Esha Saha, Hao Wang
cs.LGstat.MLarXiv:2608.30328v12026
Generative multi-domain transfer learning for fault detection in data-scarce wind turbines
Stefan Jonas, Angela Meyer
cs.LGarXiv:2608.30323v12026
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He +4
cs.LGstat.MLarXiv:1407.5599v42014
Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance
Donggyu Min, Dong-Kyu Kim
cs.LGcs.AIarXiv:2608.30317v12026
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach
Wenda Zhou, Victor Veitch, Morgane Austern +2
stat.MLcs.LGarXiv:1804.05862v32018
Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs
Yirui Liu, Ruoling Qi, Xuaner Wu +2
cs.LGcs.AIarXiv:2608.30310v12026
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li, Yutai Hou, Wanxiang Che
cs.CLcs.AIcs.LGarXiv:2110.01852v32021
BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning
Dongsheng Hou, Yanqiao Chen, Yuhan Rui
cs.LGcs.AIarXiv:2608.30283v12026
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Tae-Hyun Oh, Yu-Wing Tai, Jean-Charles Bazin +2
cs.CVcs.AIcs.LGarXiv:1503.01444v22015
Multivariate Scientific Data Compression with Learned Cross-Variable Latent Decorrelation and Autoregressive Entropy Modeling
Liangji Zhu, Anand Rangarajan, Sanjay Ranka
cs.LGarXiv:2608.30262v12026
Exact Recovery Thresholds for Weighted Data Selection in Vector-Valued Linear Regression
Guangjian Zhang
cs.LGmath.STarXiv:2608.30254v12026
Certified Safety Radii in Forecast-Error Space for Wasserstein Distributionally Robust Small Signal Stability-Constrained AC Optimal Power Flow via Lifted Spectrahedral Containment
Ziqi Zhang, Xi Chen
cs.LGarXiv:2608.30201v12026
SneakyPrompt: Jailbreaking Text-to-image Generative Models
Yuchen Yang, Bo Hui, Haolin Yuan +2
cs.LGarXiv:2305.12082v32023
Reinforcement Learning for Symbolic Equation Solving
Kevin P O Keeffe
cs.LGarXiv:2608.30162v12026
Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts
Jiaxin Tian, Darren An, Jun Li
cs.LGq-bio.QMarXiv:2608.30175v12026
Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings
Zimo Yan, Yifan Li, Hao Li +4
cs.LGarXiv:2608.30152v12026
Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode
Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari +2
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:1804.04651v12018
Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms
Ingo Gühring, Gitta Kutyniok, Philipp Petersen
math.FAcs.LGarXiv:1902.07896v12019
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway, Michael C. Mozer
cs.LGcs.AIstat.MLarXiv:1802.05312v22018
Strong Drafts Need Compact Memories: Long-Context Speculative Decoding with Compressed KV Cache
Tong Yuan, Chengxi Liao, Zeyi Wen
cs.LGarXiv:2608.30252v12026
The Statistical Complexity of Interactive Decision Making
Dylan J. Foster, Sham M. Kakade, Jian Qian +1
cs.LGmath.OCmath.STarXiv:2112.13487v32021
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds
Xiuye Gu, Yijie Wang, Chongruo wu +2
cs.CVcs.LGeess.IVarXiv:1906.05332v12019
Mask2Former for Video Instance Segmentation
Bowen Cheng, Anwesa Choudhuri, Ishan Misra +3
cs.CVcs.AIcs.LGarXiv:2112.10764v12021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien, Chao Pan, Jianhao Peng +1
cs.LGcs.AIarXiv:2106.13264v42021
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
Yang Li, Ruinong Wang, Zhen Yang
eess.SPcs.LGeess.SYarXiv:2108.06764v12021
Machine learning on small size samples: A synthetic knowledge synthesis
Peter Kokol, Marko Kokol, Sašo Zagoranski
cs.LGcs.AIarXiv:2103.01002v12021
TPR-Attention for Combinatorial Generalization
Melisa Civelekoğlu, Isabeau Prémont-Schwarz
cs.LGcs.AIarXiv:2608.30124v12026
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial
Benyamin Ghojogh, Mark Crowley
stat.MLcs.LGarXiv:1905.12787v22019
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava
cs.LGarXiv:2205.14550v52022
The Cost of Training NLP Models: A Concise Overview
Or Sharir, Barak Peleg, Yoav Shoham
cs.CLcs.LGcs.NEarXiv:2004.08900v12020
Benchmarking Foundation Models with Language-Model-as-an-Examiner
Yushi Bai, Jiahao Ying, Yixin Cao +10
cs.CLcs.LGarXiv:2306.04181v22023
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy
Dapeng Feng, Jiangtao Liu, Kathryn Lawson +1
cs.LGarXiv:2203.14827v22022
Randomized Dimensionality Reduction for k-means Clustering
Christos Boutsidis, Anastasios Zouzias, Michael W. Mahoney +1
cs.DScs.LGarXiv:1110.2897v32011
Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna, Aurko Roy, Mohit Iyyer
cs.CLcs.LGarXiv:2103.06332v22021
Controlling Refusal Behavior of LLMs via Stiefel-Constrained Rotation Steering
Kirill Bunin, Dmitry Bylinkin, Vladimir Aletov +3
cs.LGcs.CLarXiv:2608.30986v12026
Arcee's MergeKit: A Toolkit for Merging Large Language Models
Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi +5
cs.CLcs.AIcs.LGarXiv:2403.13257v32024
Supraglacial Lake Fate Is Knowable Long Before the Season Ends
Emam Hossain, Md Osman Gani
cs.LGarXiv:2608.30113v12026
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Cheng Xue, Lei Zhu, Huazhu Fu +4
eess.IVcs.CVcs.LGarXiv:2104.01896v12021
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto +2
cs.AIcs.CLcs.LGarXiv:2305.14930v22023
Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization
Jessica D. Elrefaei, Kaixun Hua, Seungbae Kim +2
cs.LGcs.AIarXiv:2608.30103v12026
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Abien Fred Agarap
cs.NEcs.CRcs.LGarXiv:1709.03082v82017
SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students
Dang Nguyen, Arun Kumar A, Taylor A. Braund +8
cs.LGarXiv:2608.30102v12026
Learning Syntactic Program Transformations from Examples
Reudismam Rolim, Gustavo Soares, Loris D'Antoni +5
cs.SEcs.LGcs.PLarXiv:1608.09000v12016
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang
cs.LGstat.MLarXiv:1806.09206v22018
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas, Cole Gulino, Renjie Liao +1
cs.CVcs.LGcs.ROarXiv:1910.08233v12019
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam +5
cs.CRcs.LGarXiv:2212.04546v22022
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu, Jingrui He, Jiejun Xu
cs.LGstat.MLarXiv:1906.02319v12019
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
cs.CVcs.LGarXiv:2008.12839v12020
A Model with No Head and Many Thoughts
Nikita Koriagin, Yaroslav Aksenov, George Bredis +3
cs.LGcs.CLarXiv:2608.31069v12026
Implicit Neural Representations for Image Compression
Yannick Strümpler, Janis Postels, Ren Yang +2
eess.IVcs.CVcs.LGarXiv:2112.04267v22021
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks
Victor Dibia, Çağatay Demiralp
cs.HCcs.AIcs.LGarXiv:1804.03126v32018
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee, Kimin Lee, Jinwoo Shin +1
cs.CVcs.LGstat.MLarXiv:1903.12648v32019
Adversarial Continual Learning
Sayna Ebrahimi, Franziska Meier, Roberto Calandra +2
cs.LGcs.AIcs.CVarXiv:2003.09553v22020
Uniform Sampling for Matrix Approximation
Michael B. Cohen, Yin Tat Lee, Cameron Musco +3
cs.DScs.LGstat.MLarXiv:1408.5099v12014
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
Guanghui Lan, Soomin Lee, Yi Zhou
math.OCcs.LGarXiv:1701.03961v22017
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Bo Chang, Minmin Chen, Eldad Haber +1
stat.MLcs.LGarXiv:1902.09689v12019
E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation
Wei Fan, Xinjie Shen, Xudong Guo +8
cs.LGcs.CLarXiv:2608.30730v12026
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Fan Yao, Adnan Siraj Rakin, Deliang Fan
cs.CRcs.LGarXiv:2003.13746v12020
CHESS: Contextual Harnessing for Efficient SQL Synthesis
Shayan Talaei, Mohammadreza Pourreza, Yu-Chen Chang +2
cs.LGcs.AIcs.DBarXiv:2405.16755v32024
PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization
Boryeong Cho, Sumyeong Ahn, Se-Young Yun
cs.LGcs.CLarXiv:2608.30597v12026

Machine Learning

Learning PDE Time-Stepping with Neural Cellular Automata

Generative multi-domain transfer learning for fault detection in data-scarce wind turbines

Scalable Kernel Methods via Doubly Stochastic Gradients

Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance

Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach

Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs

Data Augmentation Approaches in Natural Language Processing: A Survey

BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications

Multivariate Scientific Data Compression with Learned Cross-Variable Latent Decorrelation and Autoregressive Entropy Modeling

Exact Recovery Thresholds for Weighted Data Selection in Vector-Valued Linear Regression

Certified Safety Radii in Forecast-Error Space for Wasserstein Distributionally Robust Small Signal Stability-Constrained AC Optimal Power Flow via Lifted Spectrahedral Containment

SneakyPrompt: Jailbreaking Text-to-image Generative Models

Reinforcement Learning for Symbolic Equation Solving

Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts

Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode

Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms

Learning Deep Disentangled Embeddings with the F-Statistic Loss

Strong Drafts Need Compact Memories: Long-Context Speculative Decoding with Compressed KV Cache

The Statistical Complexity of Interactive Decision Making

HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds

Mask2Former for Video Instance Segmentation

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting

Machine learning on small size samples: A synthetic knowledge synthesis

TPR-Attention for Combinatorial Generalization

The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial

Machine Learning for Microcontroller-Class Hardware: A Review

The Cost of Training NLP Models: A Concise Overview

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy

Randomized Dimensionality Reduction for k-means Clustering

Hurdles to Progress in Long-form Question Answering

Controlling Refusal Behavior of LLMs via Stiefel-Constrained Rotation Steering

Arcee's MergeKit: A Toolkit for Merging Large Language Models

Supraglacial Lake Fate Is Knowable Long Before the Season Ends

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students

Learning Syntactic Program Transformations from Examples

N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

A Model with No Head and Many Thoughts

Implicit Neural Representations for Image Compression

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

Adversarial Continual Learning

Uniform Sampling for Matrix Approximation

Communication-Efficient Algorithms for Decentralized and Stochastic Optimization

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks

E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation

DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips

CHESS: Contextual Harnessing for Efficient SQL Synthesis

PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization