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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23,641 to 23,700 of 33,209

Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng, Runxin Xu, Baobao Chang +1
cs.CLcs.AIcs.LGarXiv:2009.13752v12020
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
Julius Adebayo, Justin Gilmer, Ian Goodfellow +1
cs.CVcs.LGstat.MLarXiv:1810.03307v12018
Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach
Sirui Zhang, Yubing Zhou, Xunkai Li +6
cs.LGarXiv:2609.06668v12026
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain
Simon Welker, Julius Richter, Timo Gerkmann
eess.AScs.LGcs.SDarXiv:2203.17004v22022
Q-learning with Adjoint Matching
Qiyang Li, Sergey Levine
cs.LGcs.AIcs.ROarXiv:2601.14234v42026
The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute
Aman Sharma, Paras Chopra
cs.LGcs.AIarXiv:2511.02309v12025
Ghost tasking for parametrized Gaussian Processes solving linear differential equations
Johanna Moser, Christopher Albert, Sascha Ranftl
physics.comp-phcs.LGarXiv:2610.12009v12026
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace +3
cs.CLcs.LGarXiv:2004.06100v22020
Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment
Aleksandar Dimitrov, Giacomo Spigler
cs.LGarXiv:2609.06667v12026
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
Masatoshi Uehara, Yulai Zhao, Kevin Black +6
cs.LGcs.AIstat.MLarXiv:2402.15194v22024
Semantic Strengthening of Neuro-Symbolic Learning
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
cs.LGcs.AIarXiv:2302.14207v12023
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Dipankar Das, Sasikanth Avancha, Dheevatsa Mudigere +5
cs.DCcs.LGarXiv:1602.06709v12016
Finding Manifolds With Bilinear Autoencoders
Thomas Dooms, Ward Gauderis
cs.LGarXiv:2510.16820v12025
Video Summarization with Long Short-term Memory
Ke Zhang, Wei-Lun Chao, Fei Sha +1
cs.CVcs.LGarXiv:1605.08110v22016
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Angels Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha +13
cs.CLcs.LGarXiv:2401.08406v32024
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
Zijing Zhang, Ziyang Chen, Mingxiao Li +2
cs.LGcs.AIarXiv:2507.22844v12025
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma, Wei Emma Zhang, Mingyu Guo +2
cs.CLcs.LGarXiv:2011.04843v32020
Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
NVIDIA, :, Yan Wang +41
cs.ROcs.AIcs.LGarXiv:2511.00088v22025
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner +1
cs.LGcs.CVstat.MLarXiv:1806.01794v22018
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, Charles Elkan +1
cs.LGarXiv:1511.03677v72015
CommunityKV: Efficient Long-Context Decoding via Graph Partitioning
Joe McKenna, Anastasios Alexandridis, Nathan Susanj +1
cs.LGarXiv:2610.00418v12026
Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
Yunfei Nie, Jiawei Wang, Ruobing Yan +3
cs.LGarXiv:2605.12782v12026
How to learn a graph from smooth signals
Vassilis Kalofolias
stat.MLcs.LGphysics.data-anarXiv:1601.02513v12016
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Shaopeng Guo, Yujie Wang, Quanquan Li +1
cs.CVcs.LGarXiv:2005.03354v22020
Adversarial Ranking for Language Generation
Kevin Lin, Dianqi Li, Xiaodong He +2
cs.CLcs.LGarXiv:1705.11001v32017
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan +4
cs.LGstat.MLarXiv:1811.05443v12018
Hierarchical Federated Learning Across Heterogeneous Cellular Networks
Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gunduz +1
cs.LGcs.DCcs.ITarXiv:1909.02362v12019
Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs
Bo Li, Xin Zheng, Ming Jin +2
cs.LGarXiv:2608.27948v12026
Test-Time Compute for Tabular Foundation Models: Mechanisms, Gains, and Limits
Kanghui Ning, Marin Biloš, James T. Wilson +5
cs.LGarXiv:2610.12005v12026
Filtering Variational Objectives
Chris J. Maddison, Dieterich Lawson, George Tucker +5
cs.LGcs.AIcs.NEarXiv:1705.09279v32017
Adversarial Sampling and Training for Semi-Supervised Information Retrieval
Dae Hoon Park, Yi Chang
cs.IRcs.LGarXiv:1811.04155v22018
A Survey on Diffusion Models for Inverse Problems
Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai +5
cs.LGcs.AIcs.CVarXiv:2410.00083v12024
3D Morphable Face Models -- Past, Present and Future
Bernhard Egger, William A. P. Smith, Ayush Tewari +10
cs.CVcs.GRcs.LGarXiv:1909.01815v22019
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
Haolei Bai, Lingcheng Kong, Xueyi Chen +3
cs.LGcs.CLarXiv:2602.11715v22026
BLADE: Distilled LLM Regularization for Calibrated Knowledge Graph Completion
Ibne Farabi Shihab, Rabeya Bosri Tamanna, Abdo El Karaky +2
cs.LGarXiv:2609.29487v12026
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Kaijie Zhu, Jindong Wang, Jiaheng Zhou +8
cs.CLcs.CRcs.LGarXiv:2306.04528v52023
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
S. P. Morozov, A. E. Andreychenko, N. A. Pavlov +7
cs.CYcs.LGeess.IVarXiv:2005.06465v12020
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis +6
cs.PLcs.LGarXiv:1802.04730v32018
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Jialin Pan
cs.NEcs.CVcs.LGarXiv:1705.07565v22017
RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
Dongchi Huang, Hongyin Zhang, Bohan Hou +12
cs.ROcs.CVcs.LGarXiv:2608.09853v12026
Combating Label Noise in Deep Learning Using Abstention
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes +2
stat.MLcs.LGarXiv:1905.10964v22019
Example-driven Parametrisations for Bayesian Shape Optimisation
Gabriel Diaz-Aylwin, Joseph Neighbor, Abiel Malkani Talwar +2
cs.LGarXiv:2610.11984v12026
Balanced Policy Evaluation and Learning
Nathan Kallus
stat.MLcs.LGmath.OCarXiv:1705.07384v22017
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
Anthony Corso, Robert J. Moss, Mark Koren +2
cs.LGcs.AIeess.SYarXiv:2005.02979v32020
Is One Step Enough for Offline Policy Improvement?
Soohyun Choi, Seonvin Cho, Songnam Hong
cs.LGarXiv:2609.03842v22026
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Zechun Liu, Changsheng Zhao, Forrest Iandola +9
cs.LGcs.AIcs.CLarXiv:2402.14905v22024
Neural Module Networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1
cs.CVcs.CLcs.LGarXiv:1511.02799v42015
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole +1
cs.LGstat.MLarXiv:2107.00630v62021
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
Yuchao Lin, Keqiang Yan, Youzhi Luo +3
physics.chem-phcs.LGarXiv:2306.10045v92023
Accelerated Algorithm for Sparse Regularized Partial Optimal Transport
Khoa Nguyen, Dung T. Nguyen, Thong Huynh +4
cs.LGarXiv:2609.40075v12026
On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models
Yang Yu
cs.LGarXiv:2608.22197v12026
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang, Paris Perdikaris
stat.MLcs.LGphysics.comp-pharXiv:1811.04026v12018
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou, Xiao Li, Tianyu Ding +3
cs.LGcs.AIcs.ITarXiv:2203.01238v22022
Inductive Representation Learning on Temporal Graphs
Da Xu, Chuanwei Ruan, Evren Korpeoglu +2
cs.LGstat.MLarXiv:2002.07962v12020
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
Zhiyuan Yao, Yi-Kai Zhang, Yuxin Chen +7
cs.LGcs.AIarXiv:2602.03048v32026
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Ling Zhao, Yujiao Song, Chao Zhang +5
cs.LGstat.MLarXiv:1811.05320v32018
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry
Rhys E. A. Goodall, Alpha A. Lee
physics.comp-phcond-mat.mtrl-scics.LGarXiv:1910.00617v42019
CAPABLE: Capability-Aware Policy Adaptation via Behavioral Latent Encoding
Mohammad Khoshnazar, Mohammad Dehghani Tezerjani, Deyuan Qu +6
cs.ROcs.LGcs.SYarXiv:2610.11971v12026
Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions
Daoze Zhang, Zhijian Bao, Sihang Du +4
cs.CLcs.AIcs.LGarXiv:2505.07920v22025
SmoothGrad: removing noise by adding noise
Daniel Smilkov, Nikhil Thorat, Been Kim +2
cs.LGcs.CVstat.MLarXiv:1706.03825v12017

Machine Learning

Double Graph Based Reasoning for Document-level Relation Extraction

Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values

Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach

Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain

Q-learning with Adjoint Matching

The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute

Ghost tasking for parametrized Gaussian Processes solving linear differential equations

Pretrained Transformers Improve Out-of-Distribution Robustness

Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Semantic Strengthening of Neuro-Symbolic Learning

Distributed Deep Learning Using Synchronous Stochastic Gradient Descent

Finding Manifolds With Bilinear Autoencoders

Video Summarization with Long Short-term Memory

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents

Multi-document Summarization via Deep Learning Techniques: A Survey

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Learning to Diagnose with LSTM Recurrent Neural Networks

CommunityKV: Efficient Long-Context Decoding via Graph Partitioning

Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization

How to learn a graph from smooth signals

DMCP: Differentiable Markov Channel Pruning for Neural Networks

Adversarial Ranking for Language Generation

Co-regularized Alignment for Unsupervised Domain Adaptation

Hierarchical Federated Learning Across Heterogeneous Cellular Networks

Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs

Test-Time Compute for Tabular Foundation Models: Mechanisms, Gains, and Limits

Filtering Variational Objectives

Adversarial Sampling and Training for Semi-Supervised Information Retrieval

A Survey on Diffusion Models for Inverse Problems

3D Morphable Face Models -- Past, Present and Future

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

BLADE: Distilled LLM Regularization for Calibrated Knowledge Graph Completion

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance

Combating Label Noise in Deep Learning Using Abstention

Example-driven Parametrisations for Bayesian Shape Optimisation

Balanced Policy Evaluation and Learning

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

Is One Step Enough for Offline Policy Improvement?

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Neural Module Networks

Variational Diffusion Models

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction

Accelerated Algorithm for Sparse Regularized Partial Optimal Transport

On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models

Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features

Inductive Representation Learning on Temporal Graphs

CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

Predicting materials properties without crystal structure: Deep representation learning from stoichiometry

CAPABLE: Capability-Aware Policy Adaptation via Behavioral Latent Encoding

Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions

SmoothGrad: removing noise by adding noise