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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28,981 to 29,040 of 32,685

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann +1
cs.LGstat.MLarXiv:1909.13550v32019
$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
cs.CVcs.AIcs.LGarXiv:2302.10668v22023
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas +1
cs.CVcs.LGarXiv:1707.02392v32017
Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Gustav Olaf Yunus Laitinen-Fredriksson Lundstrom-Imanov
cs.LGcs.CLarXiv:2601.18699v22026
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates
Fengqing Jiang, Zhangchen Xu, Luyao Niu +2
cs.CRcs.AIcs.LGarXiv:2406.12935v22024
Tail-Influence Sampling for CVaR Policy Evaluation
Pauline Bourigault, Xiaotong Ji, Matthieu Zimmer +2
cs.LGarXiv:2609.38096v12026
Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolo Cesa-Bianchi, Ofer Dekel, Ohad Shamir
cs.LGstat.MLarXiv:1302.4387v22013
What Should World Models Forget? Stratified Retention for Continual Adaptation
Nishit Anand, Ramani Duraiswami, Dinesh Manocha
cs.LGcs.AIcs.CVarXiv:2610.03713v12026
MiDShip: Multimodal Dataset of Ship Cargo Hold Structures for Engineering Design
Noah J. Bagazinski, Md. Ferdous Alam, Jaya Manideep Rebbagondla +1
cs.CEcs.LGarXiv:2610.02214v12026
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu +8
cs.LGcs.CVcs.GRarXiv:2111.12772v22021
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
Yingtao Tian, David Ha
cs.NEcs.CVcs.LGarXiv:2109.08857v22021
Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
Michael L. Iuzzolino, Michael E. Walker, Daniel Szafir
cs.LGcs.CVcs.ROarXiv:1901.05599v12019
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
Federico Cassano, Luisa Li, Akul Sethi +8
cs.SEcs.AIcs.LGarXiv:2312.12450v62023
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts
Shudan Zhang, Hanlin Zhao, Xiao Liu +6
cs.CLcs.LGcs.SEarXiv:2405.04520v12024
A Study of the Attention Abnormality in Trojaned BERTs
Weimin Lyu, Songzhu Zheng, Tengfei Ma +1
cs.CRcs.AIcs.LGarXiv:2205.08305v22022
Exposing the Cost of Deep Learning Audio Development
Constance Douwes, Paul Magron, Romain Serizel
cs.LGcs.AIcs.SDarXiv:2610.01619v12026
Counterfactual Auditing of Bias in Open-Source Large Language Models for Clinical Triage
Manar Aljohani, Brandon Ho, Kenneth McKinley +2
cs.AIcs.CLcs.LGarXiv:2610.01963v12026
FedMultimodal: A Benchmark For Multimodal Federated Learning
Tiantian Feng, Digbalay Bose, Tuo Zhang +6
cs.DCcs.LGarXiv:2306.09486v22023
Qlib: An AI-oriented Quantitative Investment Platform
Xiao Yang, Weiqing Liu, Dong Zhou +2
q-fin.GNcs.LGq-fin.PMarXiv:2009.11189v12020
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Krishan Rana, Ming Xu, Brendan Tidd +2
cs.ROcs.AIcs.LGarXiv:2211.02231v12022
On Joint Learning for Solving Placement and Routing in Chip Design
Ruoyu Cheng, Junchi Yan
cs.LGcs.AIarXiv:2111.00234v22021
IDK Cascades: Fast Deep Learning by Learning not to Overthink
Xin Wang, Yujia Luo, Daniel Crankshaw +3
cs.CVcs.LGarXiv:1706.00885v42017
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang +2
cs.CVcs.LGarXiv:2312.05229v12023
Learning to Act without Actions
Dominik Schmidt, Minqi Jiang
cs.LGcs.AIarXiv:2312.10812v22023
How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification
Bhanu Prakash Vangala, Sowmya Guda, Navya Vangala
cs.CLcs.LGarXiv:2609.37882v12026
Spatial Attention Supervision for Defect Localization: Exploiting Ground-Truth Masks as Training Signal in Diffusion-Augmented Defect Detection
Sajjad Rezvani Boroujeni, Muskan Saraf, Gnana Tulasi Makineni +2
cs.CVcs.LGeess.IVarXiv:2609.06232v12026
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo, Bharath Hariharan
cs.CVcs.AIcs.LGarXiv:2010.07734v22020
Broken on Arrival: Silently Defective LLM Artifacts in Public Model Registries and How to Catch Them
Aditi Patodiya
cs.SEcs.LGarXiv:2609.05881v12026
Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics
Jie Zhang, Qiang Ni, David Windridge +1
cs.LGarXiv:2609.06109v12026
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
Jan Ludziejewski, Maciej Pióro, Jakub Krajewski +8
cs.LGcs.AIcs.CLarXiv:2502.05172v22025
GradeTrap: Authority Cues in Images Shift VLM Judgments Despite Explicit Instructions to Ignore Them
Deep Dessai
cs.CVcs.CLcs.CYarXiv:2609.06058v12026
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
Zhouhan Lin, Yushi Chen, Xing Zhao +1
cs.CVcs.AIcs.LGarXiv:1511.02916v12015
SafeLLM4SE: Statistical Evaluation and Reporting for LLM-based Software Engineering Systems
Francisco Ortin
cs.SEcs.LGarXiv:2609.37294v12026
Machine Learning Techniques for Intrusion Detection
Mahdi Zamani, Mahnush Movahedi
cs.CRcs.LGcs.NIarXiv:1312.2177v22013
Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving
Bruno Maciel Machado, Eric Aislan Antonelo
cs.ROcs.LGarXiv:2609.38472v12026
Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data
Zilong Zhao, Abdul Raheem, Jiayu Li +5
cs.LGarXiv:2609.38414v12026
A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models
Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz
stat.MLcs.AIcs.LGarXiv:1804.02969v72018
Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments
Rohith Reddy Bellibatlu, Zichong Wang, Wenbin Zhang
cs.SEcs.AIcs.LGarXiv:2609.37315v12026
Random Projections through multiple optical scattering: Approximating kernels at the speed of light
Alaa Saade, Francesco Caltagirone, Igor Carron +4
cs.ETcs.LGphysics.opticsarXiv:1510.06664v22015
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj +4
cs.CLcs.AIcs.LGarXiv:2410.01335v22024
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong +2
cs.CVcs.AIcs.LGarXiv:2511.03206v12025
Shifting Mechanisms: How Positional Encoding Choice Shapes In-Context Retrieval
Eric Enouen, Sainyam Galhotra
cs.CLcs.LGarXiv:2609.38530v12026
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation
Sangrak Lim, Yong Oh Lee
cs.LGarXiv:2010.11272v12020
Molecular Generation with Recurrent Neural Networks (RNNs)
Esben Jannik Bjerrum, Richard Threlfall
cs.LGq-bio.BMarXiv:1705.04612v22017
DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins
Stelios K. Mylonas, Apostolos Axenopoulos, Petros Daras
q-bio.BMcs.LGarXiv:2002.05643v22020
Probing the Creativity of Large Language Models: Can models produce divergent semantic association?
Honghua Chen, Nai Ding
cs.CLcs.LGarXiv:2310.11158v12023
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek +2
cs.LGcs.HCcs.SEarXiv:2012.14406v22020
DPLM-2: A Multimodal Diffusion Protein Language Model
Xinyou Wang, Zaixiang Zheng, Fei Ye +3
cs.LGq-bio.QMarXiv:2410.13782v12024
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
Qizhi Pei, Lijun Wu, Kaiyuan Gao +6
q-bio.QMcs.AIcs.CEarXiv:2402.17810v22024
Towards modular and programmable architecture search
Renato Negrinho, Darshan Patil, Nghia Le +3
cs.LGcs.AIstat.MLarXiv:1909.13404v12019
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat, Wonyong Jeong, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2410.02958v22024
Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition
Anshuman Tripathi, Jaeyoung Kim, Qian Zhang +2
cs.SDcs.LGeess.ASarXiv:2010.03192v12020
KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis
Reilly Haskins, Benjamin Adams
cs.LGcs.AIarXiv:2507.03847v22025
PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States
Arya Kondur, Giosue Migliorini, Cameron Schmitt +14
cs.LGcs.AIcs.CVarXiv:2609.36315v12026
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala +1
cs.ROcs.AIcs.CVarXiv:2210.06463v12022
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
Craig Atkinson, Brendan McCane, Lech Szymanski +1
cs.LGcs.AIcs.CVarXiv:1812.02464v62018
World Modeling with Probabilistic Structure Integration
Klemen Kotar, Wanhee Lee, Rahul Venkatesh +13
cs.CVcs.AIcs.LGarXiv:2509.09737v12025
Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models
Pranav Pawar, Kavish Shah, Akshat Bhalani +6
cs.LGcs.AIarXiv:2509.08270v12025
Quantifying the Impact of Ambulance Ramping: A Multi-Year Analysis of Victorian Emergency Medical Services Cases
Ayesha Tanveer, Khandakar Ahmed, Assefa Teshome +2
cs.LGarXiv:2610.00818v12026
Graph Neural Prompting with Large Language Models
Yijun Tian, Huan Song, Zichen Wang +5
cs.CLcs.AIcs.LGarXiv:2309.15427v22023

Machine Learning

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference

$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction

Learning Representations and Generative Models for 3D Point Clouds

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates

Tail-Influence Sampling for CVaR Policy Evaluation

Online Learning with Switching Costs and Other Adaptive Adversaries

What Should World Models Forget? Stratified Retention for Continual Adaptation

MiDShip: Multimodal Dataset of Ship Cargo Hold Structures for Engineering Design

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts

A Study of the Attention Abnormality in Trojaned BERTs

Exposing the Cost of Deep Learning Audio Development

Counterfactual Auditing of Bias in Open-Source Large Language Models for Clinical Triage

FedMultimodal: A Benchmark For Multimodal Federated Learning

Qlib: An AI-oriented Quantitative Investment Platform

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

On Joint Learning for Solving Placement and Routing in Chip Design

IDK Cascades: Fast Deep Learning by Learning not to Overthink

Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration

Learning to Act without Actions

How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification

Spatial Attention Supervision for Defect Localization: Exploiting Ground-Truth Masks as Training Signal in Diffusion-Augmented Defect Detection

Self-training for Few-shot Transfer Across Extreme Task Differences

Broken on Arrival: Silently Defective LLM Artifacts in Public Model Registries and How to Catch Them

Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient

GradeTrap: Authority Cues in Images Shift VLM Judgments Despite Explicit Instructions to Ignore Them

Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders

SafeLLM4SE: Statistical Evaluation and Reporting for LLM-based Software Engineering Systems

Machine Learning Techniques for Intrusion Detection

Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving

Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data

A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models

Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments

Random Projections through multiple optical scattering: Approximating kernels at the speed of light

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models

QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models

Shifting Mechanisms: How Positional Encoding Choice Shapes In-Context Retrieval

Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation

Molecular Generation with Recurrent Neural Networks (RNNs)

DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins

Probing the Creativity of Large Language Models: Can models produce divergent semantic association?

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

DPLM-2: A Multimodal Diffusion Protein Language Model

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning

Towards modular and programmable architecture search

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis

PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality

Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting

World Modeling with Probabilistic Structure Integration

Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models

Quantifying the Impact of Ambulance Ramping: A Multi-Year Analysis of Victorian Emergency Medical Services Cases

Graph Neural Prompting with Large Language Models