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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25,741 to 25,800 of 33,304

Unsupervised Unlearning of Concept Drift with Autoencoders
André Artelt, Kleanthis Malialis, Christos Panayiotou +2
cs.LGcs.AIarXiv:2211.12989v22022
U-Space: Uncovering When and Why Uncertainty Arises in Language Models
Tobias Braun, Nils Loose, Alexander Herzog +4
cs.CLcs.AIcs.LGarXiv:2610.09087v12026
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu, Jingrui He, Jiejun Xu
cs.LGstat.MLarXiv:1906.02319v12019
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
Feng Chen, Liqin Wang, Julie Hong +2
cs.AIcs.CYcs.LGarXiv:2310.19917v32023
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals
Rohin Shah, Vikrant Varma, Ramana Kumar +4
cs.LGarXiv:2210.01790v22022
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle, Yu-Xiang Wang
cs.LGstat.MLarXiv:1805.06530v22018
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
eess.IVcs.CVcs.LGarXiv:2003.13815v32020
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Andrey Malinin, Neil Band, Ganshin +15
cs.LGcs.AIstat.MLarXiv:2107.07455v32021
Agent Learning via Early Experience
Kai Zhang, Xiangchao Chen, Bo Liu +27
cs.AIcs.CLcs.IRarXiv:2510.08558v32025
DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation
Peyman Hosseini, Ondrej Bohdal, Ahmed Alajrami +6
cs.LGcs.AIarXiv:2606.29961v12026
Why do classifier accuracies show linear trends under distribution shift?
Horia Mania, Suvrit Sra
cs.LGstat.MLarXiv:2012.15483v22020
FutureSim: Replaying World Events to Evaluate Adaptive Agents
Shashwat Goel, Nikhil Chandak, Arvindh Arun +5
cs.LGcs.AIcs.CLarXiv:2605.15188v12026
Time Series Domain Adaptation via Sparse Associative Structure Alignment
Ruichu Cai, Jiawei Chen, Zijian Li +6
cs.LGarXiv:2012.11797v22020
Implicit Behavioral Cloning
Pete Florence, Corey Lynch, Andy Zeng +7
cs.ROcs.CVcs.LGarXiv:2109.00137v12021
On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics
Julianna Piskorz, Antonin Berthon, Mihaela van der Schaar
cs.LGarXiv:2609.35259v12026
EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting
Seunghan Lee, Sangjun Han, Jun Seo +9
cs.AIcs.LGarXiv:2609.30880v12026
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz, Brendan McMahan, Shuang Song +3
cs.CRcs.LGarXiv:2103.00039v32021
Encoding physics to learn reaction-diffusion processes
Chengping Rao, Pu Ren, Qi Wang +3
cs.LGmath.NAphysics.comp-pharXiv:2106.04781v22021
Neither Precision Nor Architecture Alone: Controlled Tests of Failure Remedies for Physics-Informed Neural Networks
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIarXiv:2608.25327v12026
BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs
Debarpan Bhattacharya, Malay Phadke, Sriram Ganapathy
cs.CLcs.AIcs.LGarXiv:2608.30646v12026
Closing the Approximation Gap in Simulation-free Latent SDEs
Henry D. Smith, Brian L. Trippe, Scott W. Linderman
stat.MLcs.LGarXiv:2606.16138v22026
FLARE: Robot Learning with Implicit World Modeling
Ruijie Zheng, Jing Wang, Scott Reed +18
cs.ROcs.LGarXiv:2505.15659v12025
Low-Cost High-Power Membership Inference Attacks
Sajjad Zarifzadeh, Philippe Liu, Reza Shokri
stat.MLcs.CRcs.LGarXiv:2312.03262v32023
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian +7
physics.flu-dyncs.LGarXiv:2012.07938v12020
Distilling the Knowledge in a Neural Network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean
stat.MLcs.LGcs.NEarXiv:1503.02531v12015
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti, Jeffrey Ling, Michael Collins +1
cs.CLcs.CVcs.LGarXiv:1908.05054v22019
Covariate-dependent Joint Modeling of Multivariate Ordinal Preferences and Its Connections with Comparison Models
Yujie Chen, Antik Chakraborty, Anindya Bhadra
stat.MLcs.LGstat.MEarXiv:2610.09070v12026
Question Answering Over Temporal Knowledge Graphs
Apoorv Saxena, Soumen Chakrabarti, Partha Talukdar
cs.LGarXiv:2106.01515v12021
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Haozhe Wang, Chao Qu, Zuming Huang +3
cs.LGcs.AIarXiv:2504.08837v32025
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens, Michael Everett, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1810.08700v22018
AnswerMap: Faithful Spatial Interpretability of VLMs from Answer Posteriors
Mohamed Eltahir, Fardows Adam, Duaa M. Tahir +6
cs.CVcs.LGarXiv:2609.35247v12026
BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals
Mohamed Kamel, Sahar Selim, Walaa Medhat +1
cs.LGeess.SParXiv:2610.09052v12026
DHP: Differentiable Meta Pruning via HyperNetworks
Yawei Li, Shuhang Gu, Kai Zhang +2
cs.CVcs.LGeess.IVarXiv:2003.13683v32020
TANGO: Watermarking Masked Diffusion Language Models in Token Pairs
Kasra Arabi, Nir Weinberger, Micah Goldblum +1
cs.LGcs.CLcs.CRarXiv:2609.35224v12026
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen, Jonathan Frankle, Shiyu Chang +4
cs.LGcs.CVcs.NEarXiv:2012.06908v22020
TriPLU: Bypassing the Gate with Direct Trilinear Product FFNs in Tiny Language Models
He Zhang
cs.CLcs.LGarXiv:2608.20360v12026
Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention
Samrajya Thapa, Daniel J. Quest, Timothy L. Kline +3
cs.CVcs.LGarXiv:2610.09031v12026
Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound
Camilla Ferrario, Maelys Venet, Olivier Villemain +1
q-bio.QMcs.LGphysics.med-pharXiv:2609.35214v12026
SafeDiSTL: Decomposing Joint Constraints for Safe Multi-Agent Reinforcement Learning
Hongrui Zheng, Aditya Singh, Rahul Mangharam
cs.LGcs.AIarXiv:2610.13737v12026
Residual neural networks overcome the curse of dimensionality for semilinear heat equations
Ilkhom Mukhammadiev, Diyora Salimova
math.NAcs.LGcs.NAarXiv:2609.03626v12026
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
Indro Spinelli, Simone Scardapane, Aurelio Uncini
cs.LGstat.MLarXiv:1905.01907v22019
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping
Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal +1
cs.HCcs.AIcs.CLarXiv:2304.07810v22023
On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni, Michael I. Jordan, Chi Jin
cs.LGstat.MLarXiv:2006.11650v22020
Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization
Gustavo Sutter, Alejandro Comas-Leon, David Holzmüller +4
cs.LGcs.AIstat.MLarXiv:2610.08969v12026
CF-VLM:CounterFactual Vision-Language Fine-tuning
Jusheng Zhang, Kaitong Cai, Yijia Fan +2
cs.LGcs.AIarXiv:2506.17267v12025
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang, Kaiyi Ji, Yingbin Liang
cs.LGmath.OCstat.MLarXiv:2106.04692v22021
An Analysis of Hierarchical Text Classification Using Word Embeddings
Roger A. Stein, Patricia A. Jaques, Joao F. Valiati
cs.CLcs.AIcs.LGarXiv:1809.01771v12018
Data Interpreter: An LLM Agent For Data Science
Sirui Hong, Yizhang Lin, Bang Liu +24
cs.AIcs.LGarXiv:2402.18679v42024
APS: Active Pretraining with Successor Features
Hao Liu, Pieter Abbeel
cs.LGarXiv:2108.13956v12021
Graph Diffusion Transformers are In-Context Molecular Designers
Gang Liu, Jie Chen, Yihan Zhu +4
cs.LGcs.AIarXiv:2510.08744v12025
Scaling Embeddings Outperforms Scaling Experts in Language Models
Hong Liu, Jiaqi Zhang, Chao Wang +13
cs.CLcs.AIcs.LGarXiv:2601.21204v22026
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu
cs.LGcs.AIstat.MLarXiv:2111.10364v32021
GraphHCA: Closed-Form Hindsight Credit Assignment for Long-Horizon LLM Agents
Haodong Zhu, Yangyang Ren, Changbai Li +4
cs.LGarXiv:2609.35084v12026
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge, Tengyu Ma +1
cs.LGcs.DScs.NEarXiv:1503.00778v12015
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
cs.CLcs.AIcs.LGarXiv:1609.08144v22016
Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space
You Wan, Ting Gao, Jinqiao Duan
stat.MLcs.LGmath.OCarXiv:2610.08883v12026
Fast and accurate sentiment classification using an enhanced Naive Bayes model
Vivek Narayanan, Ishan Arora, Arjun Bhatia
cs.CLcs.IRcs.LGarXiv:1305.6143v22013
Understanding Learned Reward Functions
Eric J. Michaud, Adam Gleave, Stuart Russell
cs.LGarXiv:2012.05862v12020
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild +2
cs.LGcs.AIstat.MLarXiv:2106.01342v12021
Stream Recursion Model (SRM)
Asael Sorensen, Charles Brock, David Chamberlain +3
cs.LGarXiv:2609.28809v12026

Machine Learning

Unsupervised Unlearning of Concept Drift with Autoencoders

U-Space: Uncovering When and Why Uncertainty Arises in Language Models

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models

Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals

Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Agent Learning via Early Experience

DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation

Why do classifier accuracies show linear trends under distribution shift?

FutureSim: Replaying World Events to Evaluate Adaptive Agents

Time Series Domain Adaptation via Sparse Associative Structure Alignment

Implicit Behavioral Cloning

On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics

EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting

Practical and Private (Deep) Learning without Sampling or Shuffling

Encoding physics to learn reaction-diffusion processes

Neither Precision Nor Architecture Alone: Controlled Tests of Failure Remedies for Physics-Informed Neural Networks

BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

Closing the Approximation Gap in Simulation-free Latent SDEs

FLARE: Robot Learning with Implicit World Modeling

Low-Cost High-Power Membership Inference Attacks

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework

Distilling the Knowledge in a Neural Network

Fusion of Detected Objects in Text for Visual Question Answering

Covariate-dependent Joint Modeling of Multivariate Ordinal Preferences and Its Connections with Comparison Models

Question Answering Over Temporal Knowledge Graphs

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Safe Reinforcement Learning with Model Uncertainty Estimates

AnswerMap: Faithful Spatial Interpretability of VLMs from Answer Posteriors

BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals

DHP: Differentiable Meta Pruning via HyperNetworks

TANGO: Watermarking Masked Diffusion Language Models in Token Pairs

The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

TriPLU: Bypassing the Gate with Direct Trilinear Product FFNs in Tiny Language Models

Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound

SafeDiSTL: Decomposing Joint Constraints for Safe Multi-Agent Reinforcement Learning

Residual neural networks overcome the curse of dimensionality for semilinear heat equations

Missing Data Imputation with Adversarially-trained Graph Convolutional Networks

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping

On the Theory of Transfer Learning: The Importance of Task Diversity

Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization

CF-VLM:CounterFactual Vision-Language Fine-tuning

Provably Faster Algorithms for Bilevel Optimization

An Analysis of Hierarchical Text Classification Using Word Embeddings

Data Interpreter: An LLM Agent For Data Science

APS: Active Pretraining with Successor Features

Graph Diffusion Transformers are In-Context Molecular Designers

Scaling Embeddings Outperforms Scaling Experts in Language Models

Generalized Decision Transformer for Offline Hindsight Information Matching

GraphHCA: Closed-Form Hindsight Credit Assignment for Long-Horizon LLM Agents

Simple, Efficient, and Neural Algorithms for Sparse Coding

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space

Fast and accurate sentiment classification using an enhanced Naive Bayes model

Understanding Learned Reward Functions

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Stream Recursion Model (SRM)