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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16,321 to 16,380 of 20,193

Data Predictability Shapes Weibull Weight-Scale Growth in Transformer Training
Tiexin Ding
cs.LGstat.MLarXiv:2608.23573v12026
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Shakir Mohamed, Marie-Therese Png, William Isaac
cs.CYcs.AIcs.LGarXiv:2007.04068v12020
InfoDPP-PAC: Principled Patch Selection for Whole Slide Image Analysis
Prateek Mittal, Ayush Srivastava, Joohi Chauhan
q-bio.QMcs.CVcs.ITarXiv:2608.23574v12026
A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture
Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4
cs.LGmath.NAarXiv:2608.24126v12026
Infant Care Video Dataset for Classification of Interventions Using Transformers
Igor Bogdanov, James Green
cs.CVcs.AIcs.LGarXiv:2608.23838v12026
A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling
Kirill Skobelev, Eric Fithian, Yegor Baranovski +9
cs.AIcs.CVcs.LGarXiv:2603.27341v42026
Towards Universal Fake Image Detectors that Generalize Across Generative Models
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
cs.CVcs.LGarXiv:2302.10174v22023
When and why vision-language models behave like bags-of-words, and what to do about it?
Mert Yuksekgonul, Federico Bianchi, Pratyusha Kalluri +2
cs.CVcs.AIcs.CLarXiv:2210.01936v32022
Explainable Machine Learning in Deployment
Umang Bhatt, Alice Xiang, Shubham Sharma +7
cs.LGcs.AIcs.CYarXiv:1909.06342v42019
ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning
Juntao Fang, Shifeng Xie, Ruichu Cai +6
cs.LGcs.AIstat.MLarXiv:2608.24033v12026
Equivariant Cellular Sheaves for Molecular Electronic Structure: Bridging Sheaf Cohomology and E(3)-Equivariant Hamiltonian Learning
Krishna Harish
cs.LGphysics.chem-pharXiv:2608.23571v12026
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti, Richard Bowden, Yaochu Jin +2
cs.LGcs.CVeess.SYarXiv:1912.10773v12019
Measuring Calibration in Deep Learning
Jeremy Nixon, Mike Dusenberry, Ghassen Jerfel +4
cs.LGstat.MLarXiv:1904.01685v22019
SecureBoost: A Lossless Federated Learning Framework
Kewei Cheng, Tao Fan, Yilun Jin +4
cs.LGstat.MLarXiv:1901.08755v32019
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
Haoning Wu, Dongxu Li, Bei Chen +1
cs.CVcs.CLcs.LGarXiv:2407.15754v12024
Malware Detection by Eating a Whole EXE
Edward Raff, Jon Barker, Jared Sylvester +3
stat.MLcs.CRcs.LGarXiv:1710.09435v12017
Learning Deep Generative Models of Graphs
Yujia Li, Oriol Vinyals, Chris Dyer +2
cs.LGstat.MLarXiv:1803.03324v12018
Applications of Deep Learning and Reinforcement Learning to Biological Data
Mufti Mahmud, M. Shamim Kaiser, Amir Hussain +1
cs.LGstat.MLarXiv:1711.03985v22017
Backdoor Attacks on Decentralised Post-Training
Oğuzhan Ersoy, Nikolay Blagoev, Jona te Lintelo +3
cs.CRcs.LGarXiv:2604.02372v12026
Asymmetric Non-local Neural Networks for Semantic Segmentation
Zhen Zhu, Mengde Xu, Song Bai +2
cs.CVcs.LGarXiv:1908.07678v52019
The Computational Limits of Deep Learning
Neil C. Thompson, Kristjan Greenewald, Keeheon Lee +1
cs.LGstat.MLarXiv:2007.05558v22020
Correcting Variable Importance Scored by Random Forests
Guancheng Zhou, Haiping Xu, Jason Liu +1
stat.MEcs.AIcs.LGarXiv:2606.10770v12026
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Oier Mees, Lukas Hermann, Erick Rosete-Beas +1
cs.ROcs.AIcs.CLarXiv:2112.03227v42021
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun, Chuan Guo, Yixuan Li
cs.LGarXiv:2111.12797v12021
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman, Aladin Virmaux
stat.MLcs.LGarXiv:1805.10965v22018
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer, Katja Schwarz, Andreas Geiger
cs.LGcs.CVarXiv:2202.00273v22022
NeuroPrefetcher: Storage-Aware Sparse LLM Inference via Delta Prefetching
Nobel Dhar, Md Romyull Islam, Xuechen Zhang +4
cs.DCcs.LGarXiv:2608.22643v12026
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya, Ertunc Erdil, Neerav Karani +1
cs.CVcs.LGeess.IVarXiv:2006.10511v22020
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu +1
cs.LGcs.AIcs.CVarXiv:2206.00941v32022
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng, Feng Wang, Hongyun Bao +3
cs.CLcs.AIcs.LGarXiv:1706.05075v12017
Symbolic Classification-Enabled LHC Limits Online BSM Global Fits
Shehu AbdusSalam
hep-phcs.LGcs.SCarXiv:2605.22330v12026
A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C P Coogan, Sriram Ganapathi Subramanian +3
cs.LGstat.MLarXiv:2003.00646v22020
Benchmarking Composable Compression Techniques in Mixture-of-Experts LLMs
Afsara Benazir, Chen Chen, Rongxiao Qu +3
cs.LGarXiv:2608.21693v12026
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li, Ari Holtzman, Daniel Fried +5
cs.CLcs.AIcs.LGarXiv:2210.15097v22022
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang +4
cs.CVcs.LGarXiv:1907.05737v42019
Reinforcement Learning on Benign Facts Amplifies Leakage of Memorized Private Data
Renfei Zhang, Niloofar Mireshghallah
cs.LGcs.AIarXiv:2608.21727v12026
Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun +1
cs.ROcs.AIcs.CVarXiv:1912.12294v12019
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori, Achal Dave, Vaishaal Shankar +3
cs.LGcs.CVstat.MLarXiv:2007.00644v22020
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang +6
cs.ROcs.AIcs.LGarXiv:2310.12931v22023
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Nanye Ma, Mark Goldstein, Michael S. Albergo +3
cs.CVcs.LGarXiv:2401.08740v22024
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin, Pavlo Molchanov, Zhizhong Li +5
cs.LGcs.CVstat.MLarXiv:1912.08795v22019
Model of Models: When Does Emitting a Specialist Beat Attending, Adapting, or Tuning?
John C. Howell
cs.LGcs.AIarXiv:2608.21386v12026
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen, Ceyuan Yang, Xiaoou Tang +1
cs.CVcs.LGeess.IVarXiv:2005.09635v22020
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
cs.HCcs.CLcs.LGarXiv:1906.05714v12019
ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology
Duncan Stothers, Ren-Chin Wu, William Lotter
cs.CVcs.AIcs.LGarXiv:2608.22066v12026
Personalized and Aspiration-Oriented Career Path Recommendation
Kuleshwar Sahu, Girish Keshav Palshikar, Rajiv Srivastava
cs.LGarXiv:2608.22056v12026
Adversarial Audio Synthesis
Chris Donahue, Julian McAuley, Miller Puckette
cs.SDcs.LGarXiv:1802.04208v32018
Certified Data Removal from Machine Learning Models
Chuan Guo, Tom Goldstein, Awni Hannun +1
cs.LGstat.MLarXiv:1911.03030v62019
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling
Yaoshiang Ho, Samuel Wookey
cs.LGcs.AIstat.MLarXiv:2001.00570v12020
Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models
Thantham Jittham
cs.CLcs.AIcs.LGarXiv:2608.21377v12026
First-Principles Atomistic Structure and Dynamics of Polyethylene During High-Pressure Radical Polymerization via Machine Learning Force Fields
Bharatha K. Gunawardana, Teresa Shah, Bicha Azizova +6
cond-mat.mtrl-scicond-mat.dis-nncs.LGarXiv:2608.21741v12026
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi +1
cs.LGcs.HCcs.IRarXiv:1706.04148v52017
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
Shuochao Yao, Shaohan Hu, Yiran Zhao +2
cs.LGcs.NEcs.NIarXiv:1611.01942v22016
Searching for Activation Functions
Prajit Ramachandran, Barret Zoph, Quoc V. Le
cs.NEcs.CVcs.LGarXiv:1710.05941v22017
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings
Norman P. Jouppi, George Kurian, Sheng Li +11
cs.ARcs.AIcs.LGarXiv:2304.01433v32023
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Souhaib Ben Taieb, Gianluca Bontempi, Amir Atiya +1
stat.MLcs.AIcs.LGarXiv:1108.3259v12011
Stress Testing Unlearning Algorithms
Noam Diamant, Ethan Fetaya, Neta Glazer
cs.LGarXiv:2608.22527v12026
MASH-Bench: Diagnosing Cross-Source Failure in Mass-Shooting Risk Classification
Neha Sharma, Ritesh Sharma
cs.LGcs.CYarXiv:2608.22460v12026
StocBench: A Benchmark for Generative Modeling of Stochastic Dynamics
Sebastian Pfister, Benjamin Holzschuh, Nils Thuerey
cs.LGarXiv:2608.22309v12026
Dual-Scale State-Space Modeling with Speaker-Wise Dynamic CRF for Speech Emotion Recognition in Conversation
Guan-Hua Wen, Kuan-Yu Chen, Hou-Chiang Tseng
cs.LGarXiv:2608.22399v12026

Machine Learning

Data Predictability Shapes Weibull Weight-Scale Growth in Transformer Training

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

InfoDPP-PAC: Principled Patch Selection for Whole Slide Image Analysis

A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture

Infant Care Video Dataset for Classification of Interventions Using Transformers

A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling

Towards Universal Fake Image Detectors that Generalize Across Generative Models

When and why vision-language models behave like bags-of-words, and what to do about it?

Explainable Machine Learning in Deployment

ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning

Equivariant Cellular Sheaves for Molecular Electronic Structure: Bridging Sheaf Cohomology and E(3)-Equivariant Hamiltonian Learning

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Measuring Calibration in Deep Learning

SecureBoost: A Lossless Federated Learning Framework

LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Malware Detection by Eating a Whole EXE

Learning Deep Generative Models of Graphs

Applications of Deep Learning and Reinforcement Learning to Biological Data

Backdoor Attacks on Decentralised Post-Training

Asymmetric Non-local Neural Networks for Semantic Segmentation

The Computational Limits of Deep Learning

Correcting Variable Importance Scored by Random Forests

CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

ReAct: Out-of-distribution Detection With Rectified Activations

Lipschitz regularity of deep neural networks: analysis and efficient estimation

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

NeuroPrefetcher: Storage-Aware Sparse LLM Inference via Delta Prefetching

Contrastive learning of global and local features for medical image segmentation with limited annotations

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

Symbolic Classification-Enabled LHC Limits Online BSM Global Fits

A review of machine learning applications in wildfire science and management

Benchmarking Composable Compression Techniques in Mixture-of-Experts LLMs

Contrastive Decoding: Open-ended Text Generation as Optimization

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Reinforcement Learning on Benign Facts Amplifies Leakage of Memorized Private Data

Learning by Cheating

Measuring Robustness to Natural Distribution Shifts in Image Classification

Eureka: Human-Level Reward Design via Coding Large Language Models

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

Model of Models: When Does Emitting a Specialist Beat Attending, Adapting, or Tuning?

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

A Multiscale Visualization of Attention in the Transformer Model

ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology

Personalized and Aspiration-Oriented Career Path Recommendation

Adversarial Audio Synthesis

Certified Data Removal from Machine Learning Models

The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models

First-Principles Atomistic Structure and Dynamics of Polyethylene During High-Pressure Radical Polymerization via Machine Learning Force Fields

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing

Searching for Activation Functions

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

Stress Testing Unlearning Algorithms

MASH-Bench: Diagnosing Cross-Source Failure in Mass-Shooting Risk Classification

StocBench: A Benchmark for Generative Modeling of Stochastic Dynamics

Dual-Scale State-Space Modeling with Speaker-Wise Dynamic CRF for Speech Emotion Recognition in Conversation