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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29,521 to 29,580 of 33,062

Neural reparameterization improves structural optimization
Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus
cs.LGcs.NEstat.MLarXiv:1909.04240v22019
A Data Fusion Framework for Grounding Aerospace Surrogate Model via Experimental Wind-Tunnel Observations
Nitin Nagesh Kulkarni, Dheeraj Vemula, Yin Yu +2
cs.LGarXiv:2609.04267v12026
Self-Supervised Pretraining of Molecular Graph Encoders with LeJEPA
Michał Kulczykowski, Rafał Łabędzki
q-bio.QMcs.LGstat.MLarXiv:2609.04261v12026
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton +1
cs.CLcs.AIcs.LGarXiv:2106.00872v12021
DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text
Travis Munyer, Abdullah Tanvir, Arjon Das +1
cs.MMcs.LGarXiv:2305.05773v22023
Can recursive neural tensor networks learn logical reasoning?
Samuel R. Bowman
cs.CLcs.LGarXiv:1312.6192v42013
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding
Anu Jagannath, Jithin Jagannath, Tommaso Melodia
cs.NIcs.LGeess.SParXiv:2004.10715v52020
Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association
Mehdi Zafari, Iman Mohammadi, A. Lee Swindlehurst
cs.NIcs.LGeess.SParXiv:2609.03147v12026
RelICL: Training-free Relational Learning with Tabular Foundation Models
Simon Forbat, Rainer Gemulla
cs.LGarXiv:2610.01725v12026
WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs
Mauricio Fadel Argerich, Jonathan Fürst, Marta Patiño-Martínez
cs.DCcs.LGarXiv:2607.02391v12026
Bench360: Benchmarking Local LLM Inference from 360 Degrees
Linus Stuhlmann, Mauricio Fadel Argerich, Jonathan Fürst
cs.CLcs.AIcs.LGarXiv:2511.16682v22025
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
Xiaofei Wen, Wenxuan Zhou, Wenjie Jacky Mo +1
cs.CLcs.AIcs.CRarXiv:2502.13458v22025
Are Large Language Models Memorizing Bug Benchmarks?
Daniel Ramos, Claudia Mamede, Kush Jain +3
cs.SEcs.AIcs.LGarXiv:2411.13323v32024
Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains
Yury Korolev
cs.CRcs.LGarXiv:2609.03036v12026
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
Pan Lu, Lei Ji, Wei Zhang +3
cs.CVcs.AIcs.CLarXiv:1805.09701v22018
Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts
Abhishek Potnis, Jacob Arndt
cs.LGcs.AIstat.MLarXiv:2609.02996v12026
Explainable Artificial Intelligence Approaches: A Survey
Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor +1
cs.AIcs.LGarXiv:2101.09429v12021
Participation-Sensitive Convergence and the Fragment First, Converge Later Pattern in Asynchronous Online Learning: A Topological Analysis Across 22 OULAD Courses
Hitoshi Inoue, Koichi Yasutake
cs.CYcs.LGarXiv:2610.01738v12026
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Yushi Jing +1
cs.LGcs.CLcs.CVarXiv:1611.08321v12016
Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning
Arnab Bhattacharjee, Ashu Verma, Sukumar Mishra +1
eess.SPcs.LGarXiv:2011.00841v22020
Simple and Effective Semi-Supervised Question Answering
Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal
cs.CLcs.LGarXiv:1804.00720v12018
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Manli Shu, Zuxuan Wu, Micah Goldblum +1
cs.CVcs.LGarXiv:2009.08965v32020
VoiceAgentBench: Are Voice Assistants ready for agentic tasks?
Dhruv Jain, Harshit Shukla, Gautam Rajeev +3
cs.AIcs.CLcs.LGarXiv:2510.07978v32025
In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT
Xinyue Shen, Zeyuan Chen, Michael Backes +1
cs.CRcs.LGarXiv:2304.08979v22023
Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
Mohammad Mahdi Samiei Paqaleh, Arash Marioriyad, Arman Tahmasebi-Zadeh +3
cs.AIcs.LGarXiv:2510.06274v12025
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Gil Fidel, Ron Bitton, Asaf Shabtai
cs.LGcs.AIcs.CRarXiv:1909.03418v12019
Distilling Directional Verification
Jungseob Lee, Sugyeong Eo, Seongtae Hong +4
cs.CLcs.AIcs.LGarXiv:2610.00997v12026
TOAST: Stochastic Robot Action Tokenization for Autoregressive Vision-Language-Action Models
Keisuke Shirai, Tomohiro Motoda, Hanbit Oh +5
cs.ROcs.AIcs.LGarXiv:2610.00899v12026
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
He Du, Bowen Li, Aijun Yang +3
cs.LGcs.AIcs.NEarXiv:2510.17928v12025
A Critical Review of Causal Reasoning Benchmarks for Large Language Models
Linying Yang, Vik Shirvaikar, Oscar Clivio +1
cs.LGcs.CLarXiv:2407.08029v12024
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
Vaishnavi Shrivastava, Percy Liang, Ananya Kumar
cs.CLcs.LGarXiv:2311.08877v12023
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
Jaehun Jung, Peter West, Liwei Jiang +5
cs.CLcs.AIcs.LGarXiv:2305.16635v42023
Fixing a Model That Learned Worse Cancer Means Lower Risk: Monotonic Constraints in Bladder Cancer Recurrence Prediction
Saram Abbas, David Thomas, Naeem Soomro +3
cs.LGarXiv:2610.00858v12026
AraLingBench A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models
Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Sina Mukalled +5
cs.CLcs.AIcs.LGarXiv:2511.14295v22025
Classification Based on Association Rules Algorithm for Breast Cancer
Ali Alsalama, Ahmed Kubba, Ghaith Jamjoum +1
cs.LGarXiv:2610.00174v12026
Imperceptible Adversarial Attacks on Tabular Data
Vincent Ballet, Xavier Renard, Jonathan Aigrain +3
stat.MLcs.CRcs.LGarXiv:1911.03274v22019
Towards Evaluating AI Systems for Moral Status Using Self-Reports
Ethan Perez, Robert Long
cs.LGcs.AIcs.CLarXiv:2311.08576v12023
The System Model and the User Model: Exploring AI Dashboard Design
Fernanda Viégas, Martin Wattenberg
cs.HCcs.AIcs.LGarXiv:2305.02469v12023
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling
Shuai Zhang, Peng Zhang, Xindian Ma +3
cs.CLcs.LGarXiv:2008.01547v22020
A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform
Chengkai Xu, Yiming Cui, Jiaqi Liu +7
cs.ROcs.CVcs.LGarXiv:2610.00926v12026
A Survey on Programmatic Weak Supervision
Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu +2
cs.LGcs.AIstat.AParXiv:2202.05433v22022
Inference-Time Policy Steering through Human Interactions
Yanwei Wang, Lirui Wang, Yilun Du +6
cs.ROcs.AIcs.HCarXiv:2411.16627v22024
Revealing the structure of language model capabilities
Ryan Burnell, Han Hao, Andrew R. A. Conway +1
cs.CLcs.AIcs.LGarXiv:2306.10062v12023
Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?
Razan El Mais, Ali Chehab, Ibrahim Issa +1
cs.LGarXiv:2609.40335v12026
Textual Explanations for Automated Commentary Driving
Marc Alexander Kühn, Daniel Omeiza, Lars Kunze
cs.CLcs.AIcs.HCarXiv:2304.08178v12023
EHR-RobustGym: Benchmarking and Training Agents for Robust Clinical Reasoning
Yitong Qiao, Yancheng Jin, Lei Liu +4
cs.AIcs.LGarXiv:2609.39371v12026
Aligned but Stereotypical? How System Prompts Shape Demographic Bias in LLM-Based Text-to-Image Models
NaHyeon Park, Na Min An, Kunhee Kim +3
cs.CVcs.LGarXiv:2512.04981v22025
SWE-IF: Aligning Code Evaluation with Human Preference
Ming Zhong, Xiang Zhou, Ting-Yun Chang +9
cs.CLcs.AIcs.LGarXiv:2510.07315v22025
Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation
Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah +3
cs.ROcs.AIcs.CLarXiv:2603.19166v12026
Simple and Effective Synthesis of Indoor 3D Scenes
Jing Yu Koh, Harsh Agrawal, Dhruv Batra +6
cs.CVcs.AIcs.LGarXiv:2204.02960v22022
LILA: Language-Informed Latent Actions
Siddharth Karamcheti, Megha Srivastava, Percy Liang +1
cs.ROcs.AIcs.CLarXiv:2111.03205v12021
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral +14
astro-ph.COastro-ph.IMcs.LGarXiv:1808.04728v22018
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
Ferda Ofli, Firoj Alam, Muhammad Imran
cs.CVcs.CYcs.LGarXiv:2004.11838v12020
From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer
Joel Shor
cs.LGcs.NEq-bio.GNarXiv:2609.40143v12026
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li, Zhongzhi Yu, Yonggan Fu +6
cs.LGarXiv:2103.10584v22021
What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series
Magali Parrino, Antoine Ajenjo, Emmanuel Remy +2
cs.LGcs.AIarXiv:2609.39232v12026
Future Is Unevenly Distributed: Forecasting Ability of LLMs Depends on What We're Asking
Chinmay Karkar, Paras Chopra
cs.LGarXiv:2511.18394v12025
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang, Chen Chen, Jingtao Li +3
cs.LGcs.AIcs.DCarXiv:2306.15546v32023
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
Steffen Rendle, Li Zhang, Yehuda Koren
cs.IRcs.LGarXiv:1905.01395v12019
BEARCUBS: A benchmark for computer-using web agents
Yixiao Song, Katherine Thai, Chau Minh Pham +3
cs.AIcs.CLcs.LGarXiv:2503.07919v32025

Machine Learning

Neural reparameterization improves structural optimization

A Data Fusion Framework for Grounding Aerospace Surrogate Model via Experimental Wind-Tunnel Observations

Self-Supervised Pretraining of Molecular Graph Encoders with LeJEPA

On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study

DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text

Can recursive neural tensor networks learn logical reasoning?

Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding

Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association

RelICL: Training-free Relational Learning with Tabular Foundation Models

WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

Bench360: Benchmarking Local LLM Inference from 360 Degrees

ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails

Are Large Language Models Memorizing Bug Benchmarks?

Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts

Explainable Artificial Intelligence Approaches: A Survey

Participation-Sensitive Convergence and the Fragment First, Converge Later Pattern in Asynchronous Online Learning: A Topological Analysis Across 22 OULAD Courses

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images

Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning

Simple and Effective Semi-Supervised Question Answering

Encoding Robustness to Image Style via Adversarial Feature Perturbations

VoiceAgentBench: Are Voice Assistants ready for agentic tasks?

In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT

Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization

When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures

Distilling Directional Verification

TOAST: Stochastic Robot Action Tokenization for Autoregressive Vision-Language-Action Models

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning

A Critical Review of Causal Reasoning Benchmarks for Large Language Models

Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Fixing a Model That Learned Worse Cancer Means Lower Risk: Monotonic Constraints in Bladder Cancer Recurrence Prediction

AraLingBench A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models

Classification Based on Association Rules Algorithm for Breast Cancer

Imperceptible Adversarial Attacks on Tabular Data

Towards Evaluating AI Systems for Moral Status Using Self-Reports

The System Model and the User Model: Exploring AI Dashboard Design

TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling

A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform

A Survey on Programmatic Weak Supervision

Inference-Time Policy Steering through Human Interactions

Revealing the structure of language model capabilities

Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?

Textual Explanations for Automated Commentary Driving

EHR-RobustGym: Benchmarking and Training Agents for Robust Clinical Reasoning

Aligned but Stereotypical? How System Prompts Shape Demographic Bias in LLM-Based Text-to-Image Models

SWE-IF: Aligning Code Evaluation with Human Preference

Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation

Simple and Effective Synthesis of Indoor 3D Scenes

LILA: Language-Informed Latent Actions

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response

From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer

HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series

Future Is Unevenly Distributed: Forecasting Ability of LLMs Depends on What We're Asking

When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

On the Difficulty of Evaluating Baselines: A Study on Recommender Systems

BEARCUBS: A benchmark for computer-using web agents