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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17,041 to 17,100 of 20,215

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
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xiangyu Zhang, Jianhua Zou, Kaiming He +1
cs.CVcs.LGcs.NEarXiv:1505.06798v22015
Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
Fangfu Liu, Diankun Wu, Jiawei Chi +7
cs.CVcs.LGarXiv:2603.12255v12026
iDLG: Improved Deep Leakage from Gradients
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
cs.LGstat.MLarXiv:2001.02610v12020
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal +1
cs.LGcs.CVcs.ROarXiv:1910.05449v12019
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang +4
cs.LGeess.SPstat.MLarXiv:2002.12478v42020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis
cs.NEcs.LGmath.NAarXiv:2003.05385v12020
Revisiting Diffusion Model Predictions Through Dimensionality
Qing Jin, Chaoyang Wang
cs.LGcs.CVarXiv:2601.21419v22026
Revisiting Distributed Synchronous SGD
Jianmin Chen, Xinghao Pan, Rajat Monga +2
cs.LGcs.DCcs.NEarXiv:1604.00981v32016
CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
Hanyang Wang, Yiyang Liu, Jiawei Chi +3
cs.CVcs.LGarXiv:2603.03281v22026
Learning Representations for Counterfactual Inference
Fredrik D. Johansson, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1605.03661v32016
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li +8
cs.CLcs.AIcs.LGarXiv:2601.22588v22026
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan, Xinxing Xu, Yong Liu
cs.LGarXiv:1606.08117v22016
Conformal Risk Minimization for Semi-Supervised Domain Adaptation via Optimal Transport
Manos Giannopoulos, Yi Shen, Michael M. Zavlanos
cs.LGarXiv:2608.23153v12026
SafePred: A Predictive Guardrail for Computer-Using Agents via World Models
Yurun Chen, Zeyi Liao, Ping Yin +3
cs.CLcs.AIcs.LGarXiv:2602.01725v12026
HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification
Erik Y. Wang, Sumeet Motwani, James V. Roggeveen +7
cs.LGarXiv:2603.15617v12026
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu, Zhe Gan, Ricardo Henao +4
stat.MLcs.LGarXiv:1609.08976v12016
Fast Transformer Decoding: One Write-Head is All You Need
Noam Shazeer
cs.NEcs.CLcs.LGarXiv:1911.02150v12019
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
Xinwu Ye, Yicheng Mao, Yuxuan Liao +16
physics.chem-phcs.AIcs.CLarXiv:2602.07075v62026
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan +11
cs.LGcs.AIcs.PFarXiv:2303.06865v22023
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
Lowik Chanussot, Abhishek Das, Siddharth Goyal +14
cond-mat.mtrl-scics.LGarXiv:2010.09990v52020
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, Yisen Wang +6
cs.LGcs.CRcs.CVarXiv:1801.02613v32018
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg +1
cs.CYcs.AIcs.LGarXiv:1906.09208v32019
Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation
Zhiqi Yu, Zhangquan Chen, Mengting Liu +2
cs.LGcs.AIarXiv:2602.05548v32026
Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction
Jun Hou, Yi Fang, Xuan Wang
cs.AIcs.LGarXiv:2608.22176v12026
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
Daniel Hennes, Zun Li, John Schultz +1
cs.GTcs.AIcs.LGarXiv:2603.10098v12026
MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning
Ziyang Luo, Yan Yang, Xiangru Jian +5
cs.AIcs.LGarXiv:2608.22167v12026
SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning
Qifan Yu, Xinyu Ma, Zhijian Zhuo +7
cs.LGcs.CLarXiv:2602.02472v22026
Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka, Daniel Kunin, Daniel L. K. Yamins +1
cs.LGcond-mat.dis-nncs.CVarXiv:2006.05467v32020
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
Hansen Jin Lillemark, Benhao Huang, Fangneng Zhan +2
cs.LGcs.AIcs.CVarXiv:2601.01075v22026
Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe
Xixi Wu, Qianguo Sun, Ruiyang Zhang +4
cs.LGcs.CLarXiv:2603.21972v12026
Complementary RL: Towards Efficient Experience-Driven Agent Learning
Dilxat Muhtar, Jiashun Liu, Wei Gao +8
cs.LGcs.CLarXiv:2603.17621v22026
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi, David Poole
stat.MLcs.LGarXiv:1802.04868v22018
Noise2Self: Blind Denoising by Self-Supervision
Joshua Batson, Loic Royer
cs.CVcs.LGstat.MLarXiv:1901.11365v22019
Mixture-of-Experts with Expert Choice Routing
Yanqi Zhou, Tao Lei, Hanxiao Liu +7
cs.LGcs.AIarXiv:2202.09368v22022
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu +2
cs.AIcs.CLcs.LGarXiv:2309.05519v32023
The many Shapley values for model explanation
Mukund Sundararajan, Amir Najmi
cs.AIcs.LGecon.THarXiv:1908.08474v22019
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
Zanlin Ni, Shenzhi Wang, Yang Yue +8
cs.CLcs.AIcs.LGarXiv:2601.15165v42026
Unbiased Scene Graph Generation from Biased Training
Kaihua Tang, Yulei Niu, Jianqiang Huang +2
cs.CVcs.LGarXiv:2002.11949v42020
Solving math word problems with process- and outcome-based feedback
Jonathan Uesato, Nate Kushman, Ramana Kumar +6
cs.LGcs.AIcs.CLarXiv:2211.14275v12022
Zero-Shot Relation Extraction via Reading Comprehension
Omer Levy, Minjoon Seo, Eunsol Choi +1
cs.CLcs.AIcs.LGarXiv:1706.04115v12017
Counterfactual Reasoning and Learning Systems
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela +6
cs.LGcs.AIcs.IRarXiv:1209.2355v52012
The Design Space of Tri-Modal Masked Diffusion Models
Louis Bethune, Victor Turrisi, Bruno Kacper Mlodozeniec +21
cs.LGarXiv:2602.21472v12026
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov +1
cs.CVcs.LGarXiv:1905.03670v22019

Machine Learning

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

Accelerating Very Deep Convolutional Networks for Classification and Detection

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training

iDLG: Improved Deep Leakage from Gradients

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Time Series Data Augmentation for Deep Learning: A Survey

hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition

Revisiting Diffusion Model Predictions Through Dimensionality

Revisiting Distributed Synchronous SGD

CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

Learning Representations for Counterfactual Inference

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

Improved Recurrent Neural Networks for Session-based Recommendations

Conformal Risk Minimization for Semi-Supervised Domain Adaptation via Optimal Transport

SafePred: A Predictive Guardrail for Computer-Using Agents via World Models

HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Fast Transformer Decoding: One Write-Head is All You Need

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation

Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction

Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models

MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning

SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning

Pruning neural networks without any data by iteratively conserving synaptic flow

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments

Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

Complementary RL: Towards Efficient Experience-Driven Agent Learning

SimplE Embedding for Link Prediction in Knowledge Graphs

Noise2Self: Blind Denoising by Self-Supervision

Mixture-of-Experts with Expert Choice Routing

NExT-GPT: Any-to-Any Multimodal LLM

The many Shapley values for model explanation

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

Unbiased Scene Graph Generation from Biased Training

Solving math word problems with process- and outcome-based feedback

Zero-Shot Relation Extraction via Reading Comprehension

Counterfactual Reasoning and Learning Systems

The Design Space of Tri-Modal Masked Diffusion Models

S4L: Self-Supervised Semi-Supervised Learning