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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28,201 to 28,260 of 33,067

Demystifying Orthogonal Monte Carlo and Beyond
Han Lin, Haoxian Chen, Tianyi Zhang +2
cs.LGstat.MLarXiv:2005.13590v12020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
cs.LGcs.CVstat.MLarXiv:2006.12655v42020
Identifiability of Nonnegative Tensor Decompositions via Positive Scattering
Haoming Wang, Ming Yuan
stat.MLcs.LGmath.COarXiv:2609.11606v12026
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu, Pingbang Hu, Han Zhao +1
cs.LGstat.MLarXiv:2409.18153v22024
Naive Bayes and Text Classification I - Introduction and Theory
Sebastian Raschka
cs.LGarXiv:1410.5329v42014
3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
Yipeng Gao, Lei Shu, Genzhi Ye +5
cs.CVcs.AIcs.GRarXiv:2606.01057v12026
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang, Yixuan Li
cs.CVcs.LGarXiv:2105.01879v12021
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft, Davis Foote +6
cs.AIcs.LGarXiv:1611.04717v32016
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Bing Yu, Haoteng Yin, Zhanxing Zhu
cs.LGstat.MLarXiv:1709.04875v42017
Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audit
Yanhang Li, Zhichao Fan, Zexin Zhuang
cs.CLcs.CYcs.LGarXiv:2608.20351v12026
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
Ruiqi Zhang, Licong Lin, Yu Bai +1
cs.LGcs.AIcs.CLarXiv:2404.05868v22024
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
cs.LGstat.MLarXiv:1605.00251v12016
Tight Prediction Intervals Using Expanded Interval Minimization
Dongqi Su, Ying Yin Ting, Jason Ansel
cs.LGstat.MLarXiv:1806.11222v12018
Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment
Xiao Zhang, Yuxin Chen, Zhixuan Liang +5
cs.ROcs.LGarXiv:2610.09369v12026
Online Optimization : Competing with Dynamic Comparators
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour +1
cs.LGmath.OCstat.MLarXiv:1501.06225v12015
Knot So Simple: A Minimalistic Environment for Spatial Reasoning
Zizhao Chen, Yoav Artzi
cs.LGcs.AIcs.CVarXiv:2505.18028v32025
PRAXIS: Learning Dynamics of Self-Improving Models with Symbolic Archives
Venkat Margapuri, Mustafa Teber
cs.LGarXiv:2610.11803v12026
SPML: A DSL for Defending Language Models Against Prompt Attacks
Reshabh K Sharma, Vinayak Gupta, Dan Grossman
cs.LGcs.CLcs.CRarXiv:2402.11755v12024
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim, Minkyu Kim, Dongjoo Seo +9
cs.DCcs.LGstat.MLarXiv:1810.09957v12018
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh, Tingting Zhu, David A. Clifton
cs.LGeess.SPstat.MLarXiv:2005.13249v32020
Learning to Optimize
Ke Li, Jitendra Malik
cs.LGcs.AImath.OCarXiv:1606.01885v12016
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang, Yiwei Lyu, Xiang Fan +9
cs.LGcs.AIcs.CLarXiv:2107.07502v22021
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Shilong Liu, Hao Cheng, Haotian Liu +10
cs.CVcs.AIcs.CLarXiv:2311.05437v12023
TINYCD: A (Not So) Deep Learning Model For Change Detection
Andrea Codegoni, Gabriele Lombardi, Alessandro Ferrari
cs.CVcs.LGeess.IVarXiv:2207.13159v22022
Language Models are Realistic Tabular Data Generators
Vadim Borisov, Kathrin Seßler, Tobias Leemann +2
cs.LGarXiv:2210.06280v22022
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny, Mark T. Keane
cs.LGcs.AIarXiv:2009.06399v12020
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu, Peter Bailis, Ion Stoica +1
cs.LGcs.CLarXiv:2402.02057v12024
Assumption-lean logistic regression with missing covariates
Jyotishka Ray Choudhury, Kabir Aladin Verchand, Richard J. Samworth +1
stat.MLcs.ITcs.LGarXiv:2610.07292v12026
Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief
Robert Engel
eess.IVcs.CVcs.HCarXiv:2609.03095v12026
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
cs.SIcs.AIcs.LGarXiv:1809.02657v22018
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Mengying Lei, Nicolas Saunier +1
cs.LGstat.MLarXiv:2104.14936v12021
Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection
Travis Lelle
cs.CRcs.AIcs.CLarXiv:2605.30189v12026
IntentGrasp: A Comprehensive Benchmark for Intent Understanding
Yuwei Yin, Chuyuan Li, Giuseppe Carenini
cs.CLcs.AIcs.LGarXiv:2605.06832v12026
Multi-Head Self Attention is a Parameter Identification Mechanism
W. Ross Morrow
cs.LGstat.MLarXiv:2609.01231v12026
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
cs.NEcs.CVcs.LGarXiv:2003.01811v22020
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang, Percy Liang, Moses Charikar
cs.LGmath.OCstat.MLarXiv:1702.05575v32017
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
Andreas Bergmeister, Stefanie Jegelka, Nikolas Nüsken +2
cs.LGcs.CVarXiv:2605.10759v22026
Online Rubrics Elicitation from Pairwise Comparisons
MohammadHossein Rezaei, Robert Vacareanu, Zihao Wang +4
cs.CLcs.AIcs.LGarXiv:2510.07284v22025
Tensor Network Moral Graph Recovery of Discrete Probability Distributions
Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2
stat.MLcs.ITcs.LGarXiv:2609.09258v12026
ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison
Tianle Li, Xuyang Shen, Yan Ma +7
cs.LGcs.AIcs.CVarXiv:2605.20278v22026
Preconditioned Physics-Informed Neural Operator Training
Shizheng Wen, Siddhartha Mishra, Marius Zeinhofer
cs.LGcs.NAmath.NAarXiv:2609.36216v12026
Predicting Path Failure In Time-Evolving Graphs
Jia Li, Zhichao Han, Hong Cheng +4
cs.LGstat.MLarXiv:1905.03994v22019
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang, Zhiwu Huang, Xiaopeng Hong
cs.CVcs.LGarXiv:2207.12819v22022
Light3R-SfM: Towards Feed-forward Structure-from-Motion
Sven Elflein, Qunjie Zhou, Sérgio Agostinho +1
cs.CVcs.LGarXiv:2501.14914v12025
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang, Liang Luo, Yuxin Chen +12
cs.LGcs.AIarXiv:2403.02545v42024
Demystifying the Slash Pattern in Attention: The Role of RoPE
Yuan Cheng, Fengzhuo Zhang, Yunlong Hou +5
cs.LGcs.AIcs.CLarXiv:2601.08297v22026
Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate
Ethan Traister, Ankit Raj, Jiaqi Gan +7
cs.CRcs.CLcs.CYarXiv:2608.24127v12026
Learning Risk Scores Robust to Unobserved Confounders
Ryan Edmonds, Yingxiao Ye, Sina Aghaei +3
cs.LGarXiv:2609.27144v12026
GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Prior
Ali Benlalah, Sepehr Johari, Patricia Vitoria +14
cs.CVcs.LGarXiv:2610.10945v12026
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong +1
stat.MLcs.LGarXiv:1806.08010v22018
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
Ziqi Liu, Wei Cai, Zhi-Qin John Xu
physics.comp-phcs.LGmath.NAarXiv:2007.11207v32020
Style Transfer from Non-Parallel Text by Cross-Alignment
Tianxiao Shen, Tao Lei, Regina Barzilay +1
cs.CLcs.LGarXiv:1705.09655v22017
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo +2
cs.LGcs.AIstat.MLarXiv:1910.07072v22019
Sequence prediction under a lying oracle
Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan Nair
cs.LGcs.ITarXiv:2608.14102v12026
EasyPPO: Stabilizing the Critic Is Key
Xuanyi Zhou, Qiuyang Mang, Huanzhi Mao +7
cs.LGarXiv:2609.36802v12026
Rethinking the Tradeoff Between Temporal Encoding and Nonlinear Computation in Spiking Language Models
Hanfei Liu, Shuchang Feng, Yanxia Chen +2
cs.LGcs.AIarXiv:2610.10933v12026
MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use
Mengru Wang, Haozhe Luo, Zhenqian Xu +6
cs.AIcs.CLcs.CYarXiv:2608.20202v12026
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo, Xi Lin, Fei Liu +2
cs.LGcs.NEmath.OCarXiv:2310.07985v22023
PHYRE: A New Benchmark for Physical Reasoning
Anton Bakhtin, Laurens van der Maaten, Justin Johnson +2
cs.LGcs.AIstat.MLarXiv:1908.05656v12019
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
cs.MAcs.AIcs.LGarXiv:2111.10898v22021

Machine Learning

Demystifying Orthogonal Monte Carlo and Beyond

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models

Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

Most Influential Subset Selection: Challenges, Promises, and Beyond

Naive Bayes and Text Classification I - Introduction and Theory

3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audit

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

A vector-contraction inequality for Rademacher complexities

Tight Prediction Intervals Using Expanded Interval Minimization

Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment

Online Optimization : Competing with Dynamic Comparators

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

PRAXIS: Learning Dynamics of Self-Improving Models with Symbolic Archives

SPML: A DSL for Defending Language Models Against Prompt Attacks

NSML: Meet the MLaaS platform with a real-world case study

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

Learning to Optimize

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

TINYCD: A (Not So) Deep Learning Model For Change Detection

Language Models are Realistic Tabular Data Generators

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Assumption-lean logistic regression with missing covariates

Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief

dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection

IntentGrasp: A Comprehensive Benchmark for Intent Understanding

Multi-Head Self Attention is a Parameter Identification Mechanism

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics

Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models

Online Rubrics Elicitation from Pairwise Comparisons

Tensor Network Moral Graph Recovery of Discrete Probability Distributions

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison

Preconditioned Physics-Informed Neural Operator Training

Predicting Path Failure In Time-Evolving Graphs

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

Light3R-SfM: Towards Feed-forward Structure-from-Motion

Wukong: Towards a Scaling Law for Large-Scale Recommendation

Demystifying the Slash Pattern in Attention: The Role of RoPE

Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate

Learning Risk Scores Robust to Unobserved Confounders

GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Prior

Fairness Without Demographics in Repeated Loss Minimization

Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains

Style Transfer from Non-Parallel Text by Cross-Alignment

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes

Sequence prediction under a lying oracle

EasyPPO: Stabilizing the Critic Is Key

Rethinking the Tradeoff Between Temporal Encoding and Nonlinear Computation in Spiking Language Models

MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

PHYRE: A New Benchmark for Physical Reasoning

Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning