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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16,981 to 17,040 of 20,199

A Physical Response-and-Memory Model for Muon Optimization
Yinze Hu, Hongjun Xiang, Xingao Gong +1
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2608.22994v12026
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli +1
cs.LGcs.AIstat.MLarXiv:2005.05951v32020
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao, Xianfeng Tang, Hua Wei +2
cs.LGarXiv:1803.01254v22018
Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
Kirandeep Kaur, Xingda Lyu, Chirag Shah
cs.CYcs.AIcs.LGarXiv:2602.15259v22026
Multi-Scale Progressive Fusion Network for Single Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi +5
cs.CVcs.LGeess.IVarXiv:2003.10985v22020
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan +1
cs.LGcs.CVarXiv:1812.03664v62018
Neural Operator based Multi-Field Reconstruction of Inner Solar Boundary State
Vignesh Kumar Pandian Sathia, Reza Mansouri, Dustin J. Kempton +2
cs.LGastro-ph.IMastro-ph.SRarXiv:2608.22782v12026
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau +4
cs.CLcs.IRcs.LGarXiv:1911.00359v22019
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
MiniCPM Team, Wenhao An, Yingfa Chen +44
cs.CLcs.AIcs.LGarXiv:2602.11761v22026
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Kimin Lee, Mantas Mazeika
cs.LGcs.CVstat.MLarXiv:1901.09960v52019
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
Shuofei Qiao, Yunxiang Wei, Xuehai Wang +10
cs.CLcs.AIcs.IRarXiv:2602.14367v22026
Physics-informed neural networks with hard constraints for inverse design
Lu Lu, Raphael Pestourie, Wenjie Yao +3
physics.comp-phcs.LGarXiv:2102.04626v12021
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput +5
cs.LGcs.CRcs.DCarXiv:2007.05084v12020
DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts
Vlad Hondru, Florinel Alin Croitoru, Iuliana Georgescu +2
cs.CVcs.AIcs.LGarXiv:2608.23363v12026
LoST: Level of Semantics Tokenization for 3D Shapes
Niladri Shekhar Dutt, Zifan Shi, Paul Guerrero +4
cs.CVcs.GRcs.LGarXiv:2603.17995v12026
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Jianbo Chen, Michael I. Jordan, Martin J. Wainwright
cs.LGcs.CRmath.OCarXiv:1904.02144v52019
Reservoir of Importance: Learning Semi-Structured Sparsity with Differentiable Subset Sampling
Ha Dinh, Xuan Duy Ta, Khoat Than +1
cs.LGarXiv:2608.23048v12026
Spanning the Visual Analogy Space with a Weight Basis of LoRAs
Hila Manor, Rinon Gal, Haggai Maron +2
cs.CVcs.AIcs.GRarXiv:2602.15727v22026
CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
Yinghao Ma, Haiwen Xia, Hewei Gao +9
cs.SDcs.AIcs.LGarXiv:2603.00610v32026
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu +3
cs.CVcs.AIcs.LGarXiv:2304.10517v32023
Contrastive Clustering
Yunfan Li, Peng Hu, Zitao Liu +3
cs.LGcs.CVstat.MLarXiv:2009.09687v12020
Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation
Jie Jiang, Yangru Huang, Zeyu Wang +4
cs.AIcs.LGarXiv:2602.10699v22026
KILT: a Benchmark for Knowledge Intensive Language Tasks
Fabio Petroni, Aleksandra Piktus, Angela Fan +10
cs.CLcs.AIcs.IRarXiv:2009.02252v42020
High-Fidelity Audio Compression with Improved RVQGAN
Rithesh Kumar, Prem Seetharaman, Alejandro Luebs +2
cs.SDcs.LGeess.ASarXiv:2306.06546v22023
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
Somdatta Goswami, Cosmin Anitescu, Souvik Chakraborty +1
stat.MLcs.LGarXiv:1907.02531v12019
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal, Bertrand Michel
math.STcs.LGmath.ATarXiv:1710.04019v22017
Online Learning: A Comprehensive Survey
Steven C. H. Hoi, Doyen Sahoo, Jing Lu +1
cs.LGarXiv:1802.02871v22018
Counterfactual Transition Graphs: Evaluating Cross-Class Transition Quality
Syed Muhammad Hamza Zaidi, Szymon Bobek, Grzegorz J. Nalepa +1
cs.LGcs.AIarXiv:2608.23164v12026
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song, Taesup Kim, Sebastian Nowozin +2
cs.LGarXiv:1710.10766v32017
Mirror descent algorithms with logarithmic barriers
Alberto De Marchi, Yura Malitsky, Adrien B. Taylor
math.OCcs.LGmath.NAarXiv:2608.22834v12026
Transformers learn in-context by gradient descent
Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo +4
cs.LGcs.AIcs.CLarXiv:2212.07677v22022
Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu, Dan Alistarh
cs.NEcs.LGarXiv:1802.05668v12018
Likelihood Ratios for Out-of-Distribution Detection
Jie Ren, Peter J. Liu, Emily Fertig +5
stat.MLcs.LGarXiv:1906.02845v22019
Next Embedding Prediction Makes World Models Stronger
George Bredis, Nikita Balagansky, Daniil Gavrilov +1
cs.LGcs.AIarXiv:2603.02765v12026
Reward-Free Continual Adaptation for Resilient Space Robots
Andrej Orsula, Miguel Olivares-Mendez, Carol Martinez
cs.ROcs.AIcs.LGarXiv:2608.23452v12026
Machine learning for molecular simulation
Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller +1
physics.chem-phcs.LGphysics.comp-pharXiv:1911.02792v12019
ISO-Bench: Can Coding Agents Optimize Real-World Inference Workloads?
Ayush Nangia, Shikhar Mishra, Aman Gokrani +1
cs.LGarXiv:2602.19594v12026
BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning
Tarjei Paule Hage, Markus J. Buehler
cs.AIcond-mat.mtrl-scics.CLarXiv:2603.04124v12026
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
Jannis Becktepe, Aleksandra Franz, Nils Thuerey +1
cs.LGarXiv:2601.15015v22026
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
cs.IRcs.LGarXiv:2003.06713v12020
Diffusion Model Alignment Using Direct Preference Optimization
Bram Wallace, Meihua Dang, Rafael Rafailov +7
cs.CVcs.AIcs.GRarXiv:2311.12908v12023
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Yongming Rao, Wenliang Zhao, Guangyi Chen +5
cs.CVcs.AIcs.LGarXiv:2112.01518v22021
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg, Dimitris Tsipras, Percy Liang +1
cs.CLcs.LGarXiv:2208.01066v32022
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang, Tianle Liu, Mingsheng Long +1
cs.LGstat.MLarXiv:1904.05801v22019
Don't Repeat Yourself: Stopping Verbatim Loops at Sampling Time
Philipp Emanuel Weidmann, Allen Roush, Judah Goldfeder +2
cs.CLcs.AIcs.LGarXiv:2608.22761v12026
A Commutator Framework for Selective Spectral Alignment in Deep Neural Networks
Kaj Nyström
stat.MLcs.LGarXiv:2608.22910v12026
Parameterized Explainer for Graph Neural Network
Dongsheng Luo, Wei Cheng, Dongkuan Xu +4
cs.LGcs.AIarXiv:2011.04573v12020
Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data
David Moffat, Angus Laurenson, Victor Martinez-Vicente +4
q-bio.OTcs.LGphysics.opticsarXiv:2608.23348v12026
Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs
Yan Zhou, Sara Kangaslahti, Jonathan Geuter +4
cs.LGarXiv:2608.22854v12026
Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
Xuan-Phi Nguyen, Shrey Pandit, Austin Xu +2
cs.LGcs.AIarXiv:2601.17111v12026
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu, Zhi Tian, Bo Zhang +2
cs.CVcs.AIcs.LGarXiv:2102.10882v32021
VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
Minkyu Kim, Sangheon Lee, Dongmin Park
cs.CVcs.AIcs.LGarXiv:2603.07888v12026
Meta-Learning: A Survey
Joaquin Vanschoren
cs.LGstat.MLarXiv:1810.03548v12018
XTC: Head-Aware Sampling by Excluding Top Choices
Philipp Emanuel Weidmann, Allen Roush, Judah Goldfeder +2
cs.CLcs.AIcs.LGarXiv:2608.22758v12026
On Distillation of Guided Diffusion Models
Chenlin Meng, Robin Rombach, Ruiqi Gao +4
cs.CVcs.AIcs.LGarXiv:2210.03142v32022
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
Alliot Nagle, Jakhongir Saydaliev, Dhia Garbaya +3
cs.LGcs.AIcs.CLarXiv:2603.12529v22026
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:1803.06643v12018
PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors
Nathan Duboisset, Zhaolan Huang, Felix Bießmann +3
cs.LGcs.AIarXiv:2608.23101v12026
Algorithms for nonnegative matrix factorization with the beta-divergence
Cédric Févotte, Jérôme Idier
cs.LGarXiv:1010.1763v32010
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen, Paul Morrison, Lan Dao +3
q-bio.QMcs.CVcs.LGarXiv:2006.11988v32020

Machine Learning

A Physical Response-and-Memory Model for Muon Optimization

MOReL : Model-Based Offline Reinforcement Learning

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

Multi-Scale Progressive Fusion Network for Single Image Deraining

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Neural Operator based Multi-Field Reconstruction of Inner Solar Boundary State

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling

Using Pre-Training Can Improve Model Robustness and Uncertainty

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

Physics-informed neural networks with hard constraints for inverse design

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts

LoST: Level of Semantics Tokenization for 3D Shapes

HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

Reservoir of Importance: Learning Semi-Structured Sparsity with Differentiable Subset Sampling

Spanning the Visual Analogy Space with a Weight Basis of LoRAs

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Segment Anything Model for Medical Image Analysis: an Experimental Study

Contrastive Clustering

Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation

KILT: a Benchmark for Knowledge Intensive Language Tasks

High-Fidelity Audio Compression with Improved RVQGAN

Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists

Online Learning: A Comprehensive Survey

Counterfactual Transition Graphs: Evaluating Cross-Class Transition Quality

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Mirror descent algorithms with logarithmic barriers

Transformers learn in-context by gradient descent

Model compression via distillation and quantization

Likelihood Ratios for Out-of-Distribution Detection

Next Embedding Prediction Makes World Models Stronger

Reward-Free Continual Adaptation for Resilient Space Robots

Machine learning for molecular simulation

ISO-Bench: Can Coding Agents Optimize Real-World Inference Workloads?

BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning

Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control

Document Ranking with a Pretrained Sequence-to-Sequence Model

Diffusion Model Alignment Using Direct Preference Optimization

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Bridging Theory and Algorithm for Domain Adaptation

Don't Repeat Yourself: Stopping Verbatim Loops at Sampling Time

A Commutator Framework for Selective Spectral Alignment in Deep Neural Networks

Parameterized Explainer for Graph Neural Network

Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data

Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs

Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts

Conditional Positional Encodings for Vision Transformers

VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?

Meta-Learning: A Survey

XTC: Head-Aware Sampling by Excluding Top Choices

On Distillation of Guided Diffusion Models

TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning

The Web as a Knowledge-base for Answering Complex Questions

PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors

Algorithms for nonnegative matrix factorization with the beta-divergence

COVID-19 Image Data Collection: Prospective Predictions Are the Future