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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27,301 to 27,360 of 33,120

ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
Yihong Tang, Zhaokai Wang, Ao Qu +11
cs.AIcs.CLcs.LGarXiv:2402.07204v52024
Large Language Model Unlearning via Embedding-Corrupted Prompts
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan +1
cs.CLcs.AIcs.LGarXiv:2406.07933v22024
Deep learning for cardiac image segmentation: A review
Chen Chen, Chen Qin, Huaqi Qiu +4
eess.IVcs.CVcs.LGarXiv:1911.03723v12019
Investigating the influence of noise and distractors on the interpretation of neural networks
Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller +1
stat.MLcs.LGarXiv:1611.07270v12016
Generative Adversarial Loops
Kislay Aditya Oj, Nidhi Jain, Sri Surya Varma Datla +3
cs.LGcs.AIarXiv:2610.11458v12026
When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning
Hanqiu Peng, Jianlong Lu, Ying Chen
quant-phcs.LGarXiv:2608.24631v12026
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Wenke Huang, Mang Ye, Zekun Shi +4
cs.LGcs.AIarXiv:2311.06750v12023
Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
Abdelaziz Bounhar, Hadi Abdine, Evan Dufraisse +5
cs.LGcs.AIstat.MLarXiv:2511.01937v22025
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung +3
cs.CVcs.LGeess.IVarXiv:2008.01183v12020
Sample Efficient Actor-Critic with Experience Replay
Ziyu Wang, Victor Bapst, Nicolas Heess +4
cs.LGarXiv:1611.01224v22016
Gap Safe screening rules for sparsity enforcing penalties
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort +1
stat.MLcs.LGmath.OCarXiv:1611.05780v42016
Automatic Construction and Natural-Language Description of Nonparametric Regression Models
James Robert Lloyd, David Duvenaud, Roger Grosse +2
stat.MLcs.LGarXiv:1402.4304v32014
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Haim Avron, Vikas Sindhwani, Jiyan Yang +1
stat.MLcs.LGmath.NAarXiv:1412.8293v22014
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Irina Higgins, Arka Pal, Andrei A. Rusu +6
stat.MLcs.AIcs.LGarXiv:1707.08475v22017
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
cs.LGcs.AIarXiv:2602.10585v12026
Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model
V. Sinitsin, O. Ibryaeva, V. Sakovskaya +1
cs.LGarXiv:2112.08673v12021
Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health
Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin +35
cs.LGcs.CYarXiv:2610.05699v12026
The Persona Hierarchy Model: Understanding Contextual Generalization in Fine-Tuning LLMs
Jiachen Zhao, Zhengxuan Wu, David Bau +1
cs.CLcs.LGarXiv:2610.09384v12026
Efficient and Generalizable Archetypal Analysis for Discrete Data
A. Emilie J. Wedenborg, Jesper Løve Hinrich, Morten Mørup
stat.MLcs.LGarXiv:2610.12035v12026
Architectural and Regularization Components in Deep Learning Medical Image Registration: Systematic Ablation Study
Nabira Rashid
cs.CVcs.LGarXiv:2609.05484v12026
Faster Kernel Ridge Regression Using Sketching and Preconditioning
Haim Avron, Kenneth L. Clarkson, David P. Woodruff
math.NAcs.DScs.LGarXiv:1611.03220v42016
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang +6
cs.CLcs.AIcs.CVarXiv:2212.09597v82022
Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models
Bilal Hussain, Xiao Tang, Qinghe Du +3
cs.CRcs.LGarXiv:2608.17796v12026
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov +3
cs.LGarXiv:1703.05407v52017
Massive Editing for Large Language Models via Meta Learning
Chenmien Tan, Ge Zhang, Jie Fu
cs.CLcs.LGarXiv:2311.04661v32023
Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams, Zan Gojcic, Sameh Khamis +4
cs.CVcs.GRcs.LGarXiv:2111.13674v12021
Deep Q-learning from Demonstrations
Todd Hester, Matej Vecerik, Olivier Pietquin +11
cs.AIcs.LGarXiv:1704.03732v42017
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
Hugh Zhang, Jeff Da, Dean Lee +11
cs.CLcs.AIcs.LGarXiv:2405.00332v32024
Efficient L1-Norm Principal-Component Analysis via Bit Flipping
Panos P. Markopoulos, Sandipan Kundu, Shubham Chamadia +1
cs.DScs.LGstat.MLarXiv:1610.01959v12016
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application
Te Han, Chao Liu, Wenguang Yang +1
cs.LGstat.MLarXiv:1804.07265v12018
RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5
cs.HCcs.AIcs.CLarXiv:2601.13235v12026
BEHRT: Transformer for Electronic Health Records
Yikuan Li, Shishir Rao, Jose Roberto Ayala Solares +5
cs.LGstat.MLarXiv:1907.09538v12019
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
Liyuan Wang, Jingyi Xie, Xingxing Zhang +3
cs.LGarXiv:2310.07234v12023
Koopman early warning signals for bifurcation and rate-induced tipping
Juan Nathaniel, Carla Roesch, Derek DeSantis +5
nlin.CDcs.LGarXiv:2608.14716v12026
Open-World Semi-Supervised Learning
Kaidi Cao, Maria Brbic, Jure Leskovec
cs.LGcs.CVarXiv:2102.03526v32021
Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection
Zeyu Dong, Benjamin Wang, Joyee W. Jin
cs.CLcs.AIcs.LGarXiv:2609.14825v12026
Learning Kernels by Alignment for Multiclass Bayes Classification
Hollan Haule, Javier Escudero
cs.LGarXiv:2609.06474v22026
Foundations without Fundamentals: Zero-Shot Blind Spots in Time Series FMs
Nafiseh Ghoroghchian, Haipeng Zhang, Shuyi Han +2
cs.LGarXiv:2610.02058v12026
Using DUCK-Net for Polyp Image Segmentation
Razvan-Gabriel Dumitru, Darius Peteleaza, Catalin Craciun
cs.CVcs.LGarXiv:2311.02239v12023
Muon-C: Operator-Aligned Muon for Convolutional Kernels
Jiaxin Qing, Lexin Li
cs.LGstat.MLarXiv:2609.09676v12026
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Wei Zou, Runpeng Geng, Binghui Wang +1
cs.CRcs.LGarXiv:2402.07867v32024
The information bottleneck method
Naftali Tishby, Fernando C. Pereira, William Bialek
physics.data-ancond-mat.dis-nncs.LGarXiv:physics/0004057v12000
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li, Kai Chen, Haoyu Wang +10
cs.CVcs.LGcs.ROarXiv:2203.07724v32022
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Lin Gui, Cristina Gârbacea, Victor Veitch
cs.CLcs.LGarXiv:2406.00832v32024
The language of prompting: What linguistic properties make a prompt successful?
Alina Leidinger, Robert van Rooij, Ekaterina Shutova
cs.CLcs.AIcs.LGarXiv:2311.01967v12023
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski, Johannes Gasteiger, Bryan Perozzi +5
cs.LGcs.SIstat.MLarXiv:2007.01570v22020
Interpreting random forest classification models using a feature contribution method
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson +1
cs.LGarXiv:1312.1121v12013
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
Shuofei Qiao, Yunxiang Wei, Xuehai Wang +10
cs.CLcs.AIcs.IRarXiv:2602.14367v22026
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing
Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke +2
cs.CLcs.LGarXiv:2406.00031v12024
When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?
Xuanfei Ren, Tengyang Xie
stat.MLcs.LGarXiv:2606.18531v12026
Scaling Empowered Agents
Catherine Ji, Vivek Myers, Joshua Lin +3
cs.AIcs.LGarXiv:2610.13002v12026
For Those Who Believe in Faithfulness: Optimizing the Area Under Insertion and Deletion Curves for Ranking Relative Feature Importance
Bjørn Leth Møller, Bulat Ibragimov, Christian Igel
cs.LGcs.CVarXiv:2610.09844v12026
Spectral Pre-Filtering for Context-Adaptive Sensor Fusion: A Four-Role FFT-GDCB Integration for High-Stakes Decision Systems
Oleg Miroshnichenko
cs.LGarXiv:2608.22023v12026
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini, Andreas Terzis
cs.LGarXiv:2106.09667v22021
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
Tengyang Xie, Dylan J. Foster, Akshay Krishnamurthy +3
cs.LGcs.AIcs.CLarXiv:2405.21046v12024
Path Integral Guided Policy Search
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya +3
cs.ROcs.LGarXiv:1610.00529v22016
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
Xiaoxu Li, Xiaochen Yang, Zhanyu Ma +1
cs.CVcs.LGarXiv:2105.08149v22021
Global analysis of Expectation Maximization for mixtures of two Gaussians
Ji Xu, Daniel Hsu, Arian Maleki
math.STcs.LGstat.COarXiv:1608.07630v12016
Multiclass Classification Calibration Functions
Bernardo Ávila Pires, Csaba Szepesvári
stat.MLcs.LGarXiv:1609.06385v12016
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Yuezhou Hu, Jiaxin Guo, Xinyu Feng +1
cs.CLcs.AIcs.LGarXiv:2510.19779v12025

Machine Learning

ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning

Large Language Model Unlearning via Embedding-Corrupted Prompts

Deep learning for cardiac image segmentation: A review

Investigating the influence of noise and distractors on the interpretation of neural networks

Generative Adversarial Loops

When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR

Weakly-Supervised Semantic Segmentation via Sub-category Exploration

Sample Efficient Actor-Critic with Experience Replay

Gap Safe screening rules for sparsity enforcing penalties

Automatic Construction and Natural-Language Description of Nonparametric Regression Models

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity

Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model

Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health

The Persona Hierarchy Model: Understanding Contextual Generalization in Fine-Tuning LLMs

Efficient and Generalizable Archetypal Analysis for Discrete Data

Architectural and Regularization Components in Deep Learning Medical Image Registration: Systematic Ablation Study

Faster Kernel Ridge Regression Using Sketching and Preconditioning

Reasoning with Language Model Prompting: A Survey

Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Massive Editing for Large Language Models via Meta Learning

Neural Fields as Learnable Kernels for 3D Reconstruction

Deep Q-learning from Demonstrations

A Careful Examination of Large Language Model Performance on Grade School Arithmetic

Efficient L1-Norm Principal-Component Analysis via Bit Flipping

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application

RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions

BEHRT: Transformer for Electronic Health Records

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

Koopman early warning signals for bifurcation and rate-induced tipping

Open-World Semi-Supervised Learning

Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection

Learning Kernels by Alignment for Multiclass Bayes Classification

Foundations without Fundamentals: Zero-Shot Blind Spots in Time Series FMs

Using DUCK-Net for Polyp Image Segmentation

Muon-C: Operator-Aligned Muon for Convolutional Kernels

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

The information bottleneck method

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

The language of prompting: What linguistic properties make a prompt successful?

Scaling Graph Neural Networks with Approximate PageRank

Interpreting random forest classification models using a feature contribution method

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing

When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?

Scaling Empowered Agents

For Those Who Believe in Faithfulness: Optimizing the Area Under Insertion and Deletion Curves for Ranking Relative Feature Importance

Spectral Pre-Filtering for Context-Adaptive Sensor Fusion: A Four-Role FFT-GDCB Integration for High-Stakes Decision Systems

Poisoning and Backdooring Contrastive Learning

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF

Path Integral Guided Policy Search

Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments

Global analysis of Expectation Maximization for mixtures of two Gaussians

Multiclass Classification Calibration Functions

AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders