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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11,281 to 11,340 of 20,198

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen, Ran Tao, Yue Fan +6
cs.LGcs.AIcs.CVarXiv:2301.10921v22023
Cross-Batch Memory for Embedding Learning
Xun Wang, Haozhi Zhang, Weilin Huang +1
cs.LGcs.CVarXiv:1912.06798v32019
CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
Naren Akash, Arihanth Tadanki, Jayanthi Sivaswamy
eess.IVcs.AIcs.CVarXiv:2608.28137v12026
Style Aligned Image Generation via Shared Attention
Amir Hertz, Andrey Voynov, Shlomi Fruchter +1
cs.CVcs.GRcs.LGarXiv:2312.02133v22023
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
cs.LGstat.MLarXiv:2006.14755v22020
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
Bilel Benjdira, Taha Khursheed, Anis Koubaa +2
cs.ROcs.CVcs.LGarXiv:1812.10968v12018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter F. Stewart +1
cs.LGcs.CLstat.MLarXiv:1810.09593v12018
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning
Tiancheng Zhao, Maxine Eskenazi
cs.AIcs.CLcs.LGarXiv:1606.02560v22016
Community detection in node-attributed social networks: a survey
Petr Chunaev
cs.SIcs.LGcs.PFarXiv:1912.09816v22019
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab, Rehab Duwairi
eess.IVcs.CVcs.LGarXiv:2109.08685v32021
Distilling Reasoning Capabilities into Smaller Language Models
Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
cs.LGcs.CLarXiv:2212.00193v22022
Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson +2
cs.CYcs.AIcs.CLarXiv:2101.09995v22021
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok +1
cs.LGcs.CVarXiv:2209.09858v22022
Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations
Naren Akash, Neeraja Ramanan
eess.IVcs.AIcs.CVarXiv:2608.28092v12026
Deep Learning for Community Detection: Progress, Challenges and Opportunities
Fanzhen Liu, Shan Xue, Jia Wu +6
cs.SIcs.AIcs.LGarXiv:2005.08225v22020
Local Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations
Suchuan Dong, Zongwei Li
math.NAcs.LGphysics.comp-pharXiv:2012.02895v12020
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
cs.LGcs.NEstat.MLarXiv:1808.04752v22018
Explainable Uncertainty Estimation for Reliable Medical AI
Li Rong Wang, Jamie Duell, Xinran Xu +6
cs.LGcs.AIarXiv:2608.28052v12026
Convolutional Neural Network-based Place Recognition
Zetao Chen, Obadiah Lam, Adam Jacobson +1
cs.CVcs.LGcs.NEarXiv:1411.1509v12014
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
Jintian Zhang, Xin Xu, Ningyu Zhang +3
cs.CLcs.AIcs.CYarXiv:2310.02124v32023
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Yulin Wang, Rui Huang, Shiji Song +2
cs.CVcs.AIcs.LGarXiv:2105.15075v22021
A Method for Layer Bit-Width Allocation in LLM Quantization via Performance Maximization Under a Quality-Degradation Constraint
Artem Safronov
cs.LGcs.AIarXiv:2608.28003v12026
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz +4
cs.CVcs.LGeess.IVarXiv:2006.03829v32020
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
stat.MLcs.LGmath.AParXiv:2110.11291v52021
Bridging the Gap between Training and Inference for Neural Machine Translation
Wen Zhang, Yang Feng, Fandong Meng +2
cs.CLcs.LGstat.MLarXiv:1906.02448v22019
Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling +1
cs.CVcs.CLcs.LGarXiv:1609.04938v22016
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
stat.MLcs.LGarXiv:1804.00104v32018
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Patrick Lewis, Yuxiang Wu, Linqing Liu +5
cs.CLcs.AIcs.LGarXiv:2102.07033v12021
Multi-resolution CSI Feedback with deep learning in Massive MIMO System
Zhilin Lu, Jintao Wang, Jian Song
cs.ITcs.LGeess.SParXiv:1910.14322v22019
FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling
Jun Bai, Ruilin Wang, Yue Li
cs.LGcs.AIcs.MAarXiv:2608.27856v12026
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen, Zhenyang Cai, Ke Ji +5
cs.CLcs.AIcs.LGarXiv:2412.18925v12024
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee, Shunxing Bao, Yuankai Huo +1
cs.CVcs.LGarXiv:2209.15076v42022
Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification
Cameron Wilding, Mina Shaker, Fatemeh Ganji
cs.CRcs.AIcs.LGarXiv:2608.27954v12026
Goal-conditioned Imitation Learning
Yiming Ding, Carlos Florensa, Mariano Phielipp +1
cs.LGcs.AIcs.NEarXiv:1906.05838v32019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li, Zeyu Cui, Shu Wu +2
cs.IRcs.LGarXiv:1910.05552v22019
Gradient Descent Learns Linear Dynamical Systems
Moritz Hardt, Tengyu Ma, Benjamin Recht
cs.LGcs.DSmath.OCarXiv:1609.05191v22016
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu, Xudong Sun, Cho-Ying Wu +2
cs.CVcs.LGarXiv:1912.02984v52019
Deep Neural Network Architectures for Modulation Classification
Xiaoyu Liu, Diyu Yang, Aly El Gamal
cs.LGstat.MLarXiv:1712.00443v32017
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien, Mark Schmidt, Francis Bach
cs.LGmath.OCstat.MLarXiv:1212.2002v22012
OpenStamp: A Watermark for Open-Source Language Models
Miroojin Bakshi, Saksham Rastogi, Danish Pruthi
cs.CLcs.AIcs.LGarXiv:2608.27899v12026
SOMTab: Set-Order Mamba for Efficient Tabular In-Context Learning
Hao Wang, Siyu Zhang, Wei Ma
cs.LGcs.AIarXiv:2608.27882v12026
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong, Pietro Frigo, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1906.01017v12019
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati, Vivek Ramanujan, Raghav Somani +4
cs.LGcs.CVstat.MLarXiv:2002.03231v92020
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Ian Covert, Su-In Lee
cs.LGstat.MLarXiv:2012.01536v32020
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner +1
cs.LGcs.CVstat.MLarXiv:1806.01794v22018
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen, Jingkun Gao, Xiaomin Song +3
cs.LGeess.SPstat.AParXiv:1812.01767v12018
Torchattacks: A PyTorch Repository for Adversarial Attacks
Hoki Kim
cs.LGcs.AIcs.CRarXiv:2010.01950v32020
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali, Faisal Naeem, Muhammad Tariq +1
eess.SYcs.CRcs.LGarXiv:2203.09702v12022
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel, Minh-Thang Luong, Peter J. Liu +2
cs.LGcs.CLarXiv:1704.00784v22017
Symplectic Recurrent Neural Networks
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky +1
cs.LGstat.MLarXiv:1909.13334v22019
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun, Zhenning Yang, Chi Zhang +2
cs.LGstat.MLarXiv:2003.08823v42020
End-to-End Constrained Optimization Learning: A Survey
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck +1
cs.LGcs.AIarXiv:2103.16378v12021
Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning
Sejong Oh
cs.LGcs.AIarXiv:2608.27821v12026
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng, Sungyong Seo, Defu Cao +2
cs.LGstat.MLarXiv:2203.16797v12022
Quantum machine learning beyond kernel methods
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup +3
quant-phcs.AIcs.LGarXiv:2110.13162v32021
Beyond Search-Imitation: Prior-Directed Exploration for Searchless Chess
Szymon Miłosz, Piotr Duch, Szymon Grabowski
cs.LGcs.AIarXiv:2608.27757v12026
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster, Tristan J. Webb, Xin Wang +11
cs.LGmath.NAstat.MLarXiv:1711.02213v22017
RiskBlend: A Multi-Signal Framework for Test Input Prioritization in Machine Learning Regression Testing
Madhusudan Srinivasan, Namith Nishal Raphae
cs.LGcs.AIcs.SEarXiv:2608.27704v12026
CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
Roy Gabriel, Nattakorn Kittisut, Jamshid Hassanpour +6
eess.IVcs.AIcs.CVarXiv:2608.27690v12026
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
cs.CVcs.LGcs.NEarXiv:1510.02969v32015

Machine Learning

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Cross-Batch Memory for Embedding Learning

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Style Aligned Image Generation via Shared Attention

DeltaGrad: Rapid retraining of machine learning models

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

Community detection in node-attributed social networks: a survey

Self-supervised learning methods and applications in medical imaging analysis: A survey

Distilling Reasoning Capabilities into Smaller Language Models

Re-imagining Algorithmic Fairness in India and Beyond

Extremely Simple Activation Shaping for Out-of-Distribution Detection

Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

Deep Learning for Community Detection: Progress, Challenges and Opportunities

Local Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations

A Survey on Methods and Theories of Quantized Neural Networks

Explainable Uncertainty Estimation for Reliable Medical AI

Convolutional Neural Network-based Place Recognition

Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

A Method for Layer Bit-Width Allocation in LLM Quantization via Performance Maximization Under a Quality-Degradation Constraint

3D Self-Supervised Methods for Medical Imaging

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

Bridging the Gap between Training and Inference for Neural Machine Translation

Image-to-Markup Generation with Coarse-to-Fine Attention

Learning Disentangled Joint Continuous and Discrete Representations

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Multi-resolution CSI Feedback with deep learning in Massive MIMO System

FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification

Goal-conditioned Imitation Learning

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

Gradient Descent Learns Linear Dynamical Systems

Grid-GCN for Fast and Scalable Point Cloud Learning

Deep Neural Network Architectures for Modulation Classification

A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method

OpenStamp: A Watermark for Open-Source Language Models

SOMTab: Set-Order Mamba for Efficient Tabular In-Context Learning

Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks

Soft Threshold Weight Reparameterization for Learnable Sparsity

Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

Torchattacks: A PyTorch Repository for Adversarial Attacks

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Symplectic Recurrent Neural Networks

Conditional Gaussian Distribution Learning for Open Set Recognition

End-to-End Constrained Optimization Learning: A Survey

Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning

Quantum machine learning beyond kernel methods

Beyond Search-Imitation: Prior-Directed Exploration for Searchless Chess

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

RiskBlend: A Multi-Signal Framework for Test Input Prioritization in Machine Learning Regression Testing

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?