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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1,681 to 1,740 of 20,193

LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models
Mingyang Xie, Numair Khan, Tianfu Wang +8
cs.CVcs.LGarXiv:2601.14674v22026
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Sanxing Chen, Xiaodong Liu, Jianfeng Gao +3
cs.CLcs.LGarXiv:2008.12813v22020
Likely to stop? Predicting Stopout in Massive Open Online Courses
Colin Taylor, Kalyan Veeramachaneni, Una-May O'Reilly
cs.CYcs.LGarXiv:1408.3382v12014
Does Neural Machine Translation Benefit from Larger Context?
Sebastien Jean, Stanislas Lauly, Orhan Firat +1
stat.MLcs.CLcs.LGarXiv:1704.05135v12017
TableFormer: Table Structure Understanding with Transformers
Ahmed Nassar, Nikolaos Livathinos, Maksym Lysak +1
cs.CVcs.LGarXiv:2203.01017v22022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
An Zeng, Chunbiao Wu, Meiping Huang +10
eess.IVcs.LGarXiv:2211.01607v22022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Daniel Jarrett, Bogdan Cebere, Tennison Liu +2
stat.MLcs.LGarXiv:2206.07769v12022
Combinatorial Multi-Armed Bandit with General Reward Functions
Wei Chen, Wei Hu, Fu Li +3
cs.LGcs.DSstat.MLarXiv:1610.06603v42016
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms
Michael Hanna, Sandro Pezzelle, Yonatan Belinkov
cs.LGcs.CLarXiv:2403.17806v22024
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell, Jia Deng
cs.CVcs.LGarXiv:2003.14323v12020
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang, Chong Peng, Qiang Cheng +4
cs.LGcs.AIcs.CVarXiv:2008.13429v12020
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Florian Huber, Artem Yushchenko, Benedikt Stratmann +1
cs.LGarXiv:2208.12633v12022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang, Tian Zhou, Qingsong Wen +1
cs.LGcs.AIarXiv:2210.09693v22022
Self-supervised Knowledge Distillation Using Singular Value Decomposition
Seung Hyun Lee, Dae Ha Kim, Byung Cheol Song
cs.LGcs.CVstat.MLarXiv:1807.06819v12018
Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss
Zhijian Li, Stefan Larson, Kevin Leach
cs.CLcs.LGarXiv:2609.11029v12026
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari, Daniel V. Smith, Hao Xue +1
cs.LGcs.AIcs.CVarXiv:2011.14097v52020
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
Vincenzo Riccio, Paolo Tonella
cs.SEcs.AIcs.LGarXiv:2007.02787v12020
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Juan Diego Ortega, Neslihan Kose, Paola Cañas +5
cs.CVcs.LGeess.IVarXiv:2008.12085v12020
Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning
Sirui Chen, Yunzhe Qi, Mengting Ai +4
cs.LGarXiv:2602.17835v12026
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
Minghao Xu, Zuobai Zhang, Jiarui Lu +5
cs.LGarXiv:2206.02096v22022
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
Harry Mayne, Justin Singh Kang, Dewi Gould +3
cs.AIcs.LGarXiv:2602.02639v12026
When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text
DongHyun Ryu, Jaehyeok Lee, YeongJun Hwang +1
cs.CLcs.LGarXiv:2609.11067v12026
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
Reem I. Masoud, Ziquan Liu, Martin Ferianc +2
cs.CYcs.CLcs.LGarXiv:2309.12342v22023
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar, Yanhong Wu, Liang Gou +2
cs.LGcs.SIstat.MLarXiv:1812.09430v22018
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
Hwan Kim, Byung Suk Lee, Won-Yong Shin +1
cs.LGcs.AIcs.SIarXiv:2209.14930v22022
Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong, Zhijie Deng, Tianyu Pang +2
cs.LGcs.CRstat.MLarXiv:2002.05999v22020
PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions
Seokhyun Moon, Wonho Zhung, Soojung Yang +2
q-bio.BMcs.LGarXiv:2008.12249v22020
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim +5
cs.CLcs.AIcs.LGarXiv:2205.12685v22022
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang +4
cs.CLcs.AIcs.CYarXiv:2309.14393v22023
Robust Multimodal Sentiment Analysis with Incomplete Modalities via Semantic-aware Completeness based Reconstruction
Han-Jun Choi, Byunggill Joe, Saim Shin +1
cs.CLcs.AIcs.LGarXiv:2609.10950v12026
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Louis Schatzki, Martin Larocca, Quynh T. Nguyen +2
quant-phcs.LGstat.MLarXiv:2210.09974v32022
HeurekaBench: A Benchmarking Framework for AI Co-scientist
Siba Smarak Panigrahi, Jovana Videnović, Maria Brbić
cs.LGarXiv:2601.01678v22026
Structurally Speaking: Motif-Oriented Graph Captioning through Bidirectional Graph-Text Translation
Hsiao-Ying Lu, Dongyu Liu, Kwan-Liu Ma
cs.CLcs.LGarXiv:2609.10923v12026
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang, Gang Wang, Jian Sun +2
cs.LGcs.AIarXiv:2305.05119v22023
Virchow: A Million-Slide Digital Pathology Foundation Model
Eugene Vorontsov, Alican Bozkurt, Adam Casson +28
eess.IVcs.CVcs.LGarXiv:2309.07778v62023
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad +7
physics.data-ancs.AIcs.LGarXiv:2305.13341v12023
Cross-Architecture Model Diffing with Crosscoders: Unsupervised Discovery of Differences Between LLMs
Thomas Jiralerspong, Trenton Bricken
cs.AIcs.LGcs.SEarXiv:2602.11729v12026
CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
Dengcan Liu, Fengkai Yang, Xiaohan Wang +7
cs.AIcs.LGarXiv:2603.08035v12026
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
Swaroop Mishra, Arindam Mitra, Neeraj Varshney +4
cs.CLcs.AIcs.LGarXiv:2204.05660v12022
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang, Pingzhi Li, Junyuan Hong +10
cs.LGcs.CLarXiv:2402.11592v32024
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
Ruihan Zhang, Prashan Madumal, Tim Miller +2
cs.CVcs.AIcs.LGarXiv:2006.15417v42020
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
Jiashu Xu, Mingyu Derek Ma, Fei Wang +2
cs.CLcs.AIcs.CRarXiv:2305.14710v22023
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
Nan Wu, Stanisław Jastrzębski, Kyunghyun Cho +1
cs.LGcs.CVarXiv:2202.05306v32022
CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
Junzhe Shen, Jieru Zhao, Ziwei He +1
cs.CLcs.AIcs.LGarXiv:2603.02547v12026
Online stochastic gradient descent on non-convex losses from high-dimensional inference
Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath
stat.MLcs.LGmath.PRarXiv:2003.10409v42020
Detectable Only Where It Is Confounded: What Verified Duplication Counts Say About Membership Evidence in Language Models
Arman Nik Khah
cs.CLcs.CRcs.LGarXiv:2609.10830v12026
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Zhun Fan, Chong Li, Ying Chen +4
cs.CVcs.LGeess.IVarXiv:2007.00477v12020
Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu
Farah Adeeba, Abdul Rafae Khan, Rajesh Bhatt +1
cs.CLcs.AIcs.LGarXiv:2609.10758v12026
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
Zhengyu Li, Xiangfei Qiu, Yuhan Zhu +4
cs.LGcs.AIarXiv:2603.08032v22026
Multivariate Confidence Calibration for Object Detection
Fabian Küppers, Jan Kronenberger, Amirhossein Shantia +1
cs.CVcs.LGstat.MLarXiv:2004.13546v12020
Radiomics in Medical Imaging: Methods, Applications, and Challenges
Fnu Neha, Deepak kumar Shukla
eess.IVcs.AIcs.LGarXiv:2602.00102v12026
Neural Networks for Entity Matching: A Survey
Nils Barlaug, Jon Atle Gulla
cs.DBcs.CLcs.LGarXiv:2010.11075v22020
A Comprehensive Survey on Data Augmentation
Zaitian Wang, Pengfei Wang, Kunpeng Liu +6
cs.LGcs.AIarXiv:2405.09591v42024
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Min Zhu, Shihang Feng, Youzuo Lin +1
cs.LGphysics.comp-phphysics.geo-pharXiv:2305.17289v22023
A review on data-driven constitutive laws for solids
Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas +6
cs.CEcs.LGphysics.app-pharXiv:2405.03658v12024
Polymer Informatics with Multi-Task Learning
Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran +3
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2010.15166v12020
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
Rui Ye, Mingkai Xu, Jianyu Wang +3
cs.LGarXiv:2305.19229v12023
Diffusion Models Beat GANs on Topology Optimization
François Mazé, Faez Ahmed
cs.LGcs.CEarXiv:2208.09591v22022
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Seohong Park, Dibya Ghosh, Benjamin Eysenbach +1
cs.LGcs.AIcs.ROarXiv:2307.11949v42023
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
Chenhao Li, Andreas Krause, Marco Hutter
cs.ROcs.AIcs.LGarXiv:2501.10100v52025

Machine Learning

LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Likely to stop? Predicting Stopout in Massive Open Online Courses

Does Neural Machine Translation Benefit from Larger Context?

TableFormer: Table Structure Understanding with Transformers

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection

Combinatorial Multi-Armed Bandit with General Reward Functions

Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms

How Useful is Self-Supervised Pretraining for Visual Tasks?

Structured Graph Learning for Clustering and Semi-supervised Classification

Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Self-supervised Knowledge Distillation Using Singular Value Decomposition

Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis

Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior

When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text

Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions

Dynamic Graph Representation Learning via Self-Attention Networks

Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

Adversarial Distributional Training for Robust Deep Learning

PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Robust Multimodal Sentiment Analysis with Incomplete Modalities via Semantic-aware Completeness based Reconstruction

Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks

HeurekaBench: A Benchmarking Framework for AI Co-scientist

Structurally Speaking: Motif-Oriented Graph Captioning through Bidirectional Graph-Text Translation

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

Virchow: A Million-Slide Digital Pathology Foundation Model

Discovering Causal Relations and Equations from Data

Cross-Architecture Model Diffing with Crosscoders: Unsupervised Discovery of Differences Between LLMs

CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks

CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think

Online stochastic gradient descent on non-convex losses from high-dimensional inference

Detectable Only Where It Is Confounded: What Verified Duplication Counts Say About Membership Evidence in Language Models

Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture

Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Multivariate Confidence Calibration for Object Detection

Radiomics in Medical Imaging: Methods, Applications, and Challenges

Neural Networks for Entity Matching: A Survey

A Comprehensive Survey on Data Augmentation

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness

A review on data-driven constitutive laws for solids

Polymer Informatics with Multi-Task Learning

FedDisco: Federated Learning with Discrepancy-Aware Collaboration

Diffusion Models Beat GANs on Topology Optimization

HIQL: Offline Goal-Conditioned RL with Latent States as Actions

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics