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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24,481 to 24,540 of 33,346

ActiveMedAgent: Cost-Aware Trajectory Learning for Multimodal Medical Diagnosis
Weiwei Ma, Xiaobing Yu, Peijie Qiu +5
cs.LGcs.AIcs.CLarXiv:2610.11140v12026
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
Avital Shafran, Roei Schuster, Vitaly Shmatikov
cs.CRcs.CLcs.LGarXiv:2406.05870v42024
Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography
Matthias C. Caro, Natalie McHugh, Sergii Strelchuk
quant-phcs.DScs.LGarXiv:2609.04165v12026
Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series
Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci
cs.LGarXiv:2608.25698v12026
Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang, Youssef Mroueh
cs.LGcs.CYstat.MLarXiv:2103.06503v12021
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Yanli Liu, Kaiqing Zhang, Tamer Başar +1
cs.LGarXiv:2211.07937v22022
Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory
Zhe Aurore Li, Quentin Clairon, Cécilia Samieri +3
stat.MLcs.LGarXiv:2608.29714v12026
Continual Harness: Online Adaptation for Self-Improving Foundation Agents
Seth Karten, Joel Zhang, Tersoo Upaa +5
cs.LGcs.AIarXiv:2605.09998v12026
Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?
Unggi Lee, Haeun Park
cs.CLcs.CYcs.LGarXiv:2610.11135v12026
Multi-domain Dialog State Tracking using Recurrent Neural Networks
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson +5
cs.CLcs.LGarXiv:1506.07190v12015
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan Shi, Jiaxin Chen, Wenlong Zhang +2
cs.LGcs.CVarXiv:2111.01549v22021
TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
Baris Yilmaz, Bevan Deniz Cilgin, Erdem Akagündüz +1
cs.LGcs.AIarXiv:2512.04694v32025
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network
Jussi Leinonen, Daniele Nerini, Alexis Berne
eess.IVcs.LGphysics.ao-pharXiv:2005.10374v42020
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
cs.LGcs.CRstat.MLarXiv:1811.01057v12018
CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
cs.ROcs.AIcs.LGarXiv:2211.00458v12022
Linearly Parameterized Bandits
Paat Rusmevichientong, John N. Tsitsiklis
cs.LGarXiv:0812.3465v22008
QUILT: Rethinking Sparse-Attention Prefill through Shared Query Execution
Zhenduo Zhao, Qihui Zhou, Mingcong Song +7
cs.LGarXiv:2610.11134v12026
Online Learning via Sequential Complexities
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
cs.LGstat.MLarXiv:1006.1138v32010
Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching
Xu Zhang, Xingyu Hou, Jiacheng Cheng +2
cs.LGarXiv:2609.04830v12026
VestigeKV: The NoPE-MLA KV Cache Carries Its Own Sparse-Attention Signal in a Vestigial Branch
WenJie Fan
cs.LGcs.CLarXiv:2609.03949v22026
Lightweight Probabilistic Deep Networks
Jochen Gast, Stefan Roth
cs.CVcs.LGstat.MLarXiv:1805.11327v12018
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Hong Liu, Sang Michael Xie, Zhiyuan Li +1
cs.LGarXiv:2210.14199v12022
TopTimeNet: Topologically-assisted time-series classification model
Sharareh Sayyad, Sophia Bazzi
cs.LGcs.CGmath.DSarXiv:2609.39792v22026
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi, Danai Koutra
cs.CLcs.AIcs.IRarXiv:2009.07810v22020
Multi-Channel Deep Networks for Block-Based Image Compressive Sensing
Siwang Zhou, Yan He, Yonghe Liu +2
eess.IVcs.ITcs.LGarXiv:1908.11221v22019
Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features
Hatoon S. AlSagri, Mourad Ykhlef
cs.SIcs.LGstat.MLarXiv:2003.04763v12020
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee, HyungChul Kang, Yongwoo Lee +8
cs.LGcs.CRarXiv:2106.07229v12021
Prescriptive Scaling Laws for Data Constrained Training
Justin Lovelace, Christian Belardi, Srivatsa Kundurthy +2
cs.LGcs.CLarXiv:2605.01640v12026
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
cs.LGarXiv:2210.09789v32022
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Isabela Albuquerque, Nikhil Naik, Junnan Li +2
cs.CVcs.LGarXiv:2003.13525v12020
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco +4
cs.NIcs.AIcs.CRarXiv:2406.03820v22024
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
Yue Meng, Chuchu Fan
cs.ROcs.AIcs.FLarXiv:2505.00562v12025
Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative
Samuel Gruffaz, Muhammad Fawad, Jaakko Nevalainen
stat.MLcs.LGstat.AParXiv:2610.09984v12026
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
Jakob Runge
stat.MEcs.LGstat.MLarXiv:2003.03685v22020
Direct Topology Tracking in Continuous Implicit Models
Guanqun Ma, David Lenz, Kaiyuan Tang +4
cs.CGcs.LGarXiv:2609.12157v12026
A Variational Perspective on Generative Flow Networks
Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent +1
stat.MLcs.LGarXiv:2210.07992v12022
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi
stat.MLcs.DScs.ITarXiv:1509.03917v32015
The Complexity of NISQ
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang +1
quant-phcs.CCcs.ITarXiv:2210.07234v12022
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi +1
cs.LGcs.DCstat.MLarXiv:1910.13598v22019
ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports
Kai Yu, Chenyu Zhu, Zaifu Zhan +5
cs.CLcs.AIcs.LGarXiv:2609.31629v12026
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
cs.LGarXiv:1502.03167v32015
Reinforcement Learning for Solving the Vehicle Routing Problem
Mohammadreza Nazari, Afshin Oroojlooy, Lawrence V. Snyder +1
cs.AIcs.LGstat.MLarXiv:1802.04240v22018
Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna, Aurko Roy, Mohit Iyyer
cs.CLcs.LGarXiv:2103.06332v22021
High-Dimensional Learning Dynamics of Attention-Indexed Models
Yizhou Xu, Margarita Sagitova, Lenka Zdeborová +1
cs.LGstat.MLarXiv:2609.03858v12026
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh +1
cs.LGstat.MLarXiv:1908.10962v22019
Verifier-free Test-Time Sampling for Vision-Language-Action Models
Suhyeok Jang, Dongyoung Kim, Changyeon Kim +2
cs.ROcs.AIcs.LGarXiv:2510.05681v22025
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi, Yue M. Lu, Yuxin Chen
cs.LGcs.ITeess.SParXiv:1809.09573v32018
Thinking Like Transformers
Gail Weiss, Yoav Goldberg, Eran Yahav
cs.LGcs.CLarXiv:2106.06981v22021
Scalable In-context Ranking with Generative Models
Nilesh Gupta, Chong You, Srinadh Bhojanapalli +3
cs.IRcs.LGarXiv:2510.05396v22025
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
Chen Liang, Simiao Zuo, Qingru Zhang +3
cs.CLcs.AIcs.LGarXiv:2210.01351v32022
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Nikita Rudin, David Hoeller, Marko Bjelonic +1
cs.ROcs.LGarXiv:2209.12827v12022
RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction
Mianzhi Liu, Fan Xiao, Zhiliang Yu +5
cs.LGcs.AIarXiv:2608.16111v12026
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan, Christopher Fletcher, Josep Torrellas
cs.DCcs.CRcs.LGarXiv:1808.04761v12018
A Broader Look at Model Merging: Rethinking Implicit Regularization Induced by Task Arithmetic
Sin-Han Yang, Shih-Cheng Huang, Chieh-Yen Lin +3
cs.LGcs.CLcs.CVarXiv:2610.07990v12026
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan, Xiangyu Zhao, Xiao Chen +8
cs.IRcs.AIcs.CRarXiv:2209.10117v12022
Efficient Dataset Distillation Using Random Feature Approximation
Noel Loo, Ramin Hasani, Alexander Amini +1
cs.LGcs.AIcs.NEarXiv:2210.12067v12022
Empower Sequence Labeling with Task-Aware Neural Language Model
Liyuan Liu, Jingbo Shang, Frank F. Xu +4
cs.CLcs.LGarXiv:1709.04109v42017
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach, Sergey Levine
cs.LGcs.ROarXiv:2103.06257v22021
Spam Review Detection with Graph Convolutional Networks
Ao Li, Zhou Qin, Runshi Liu +2
cs.IRcs.LGcs.NIarXiv:1908.10679v12019

Machine Learning

ActiveMedAgent: Cost-Aware Trajectory Learning for Multimodal Medical Diagnosis

Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents

Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography

Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series

Fair Mixup: Fairness via Interpolation

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods

Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory

Continual Harness: Online Adaptation for Self-Improving Foundation Agents

Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?

Multi-domain Dialog State Tracking using Recurrent Neural Networks

Beyond Parity: Fairness Objectives for Collaborative Filtering

Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network

Semidefinite relaxations for certifying robustness to adversarial examples

CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion

Linearly Parameterized Bandits

QUILT: Rethinking Sparse-Attention Prefill through Shared Query Execution

Online Learning via Sequential Complexities

Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching

VestigeKV: The NoPE-MLA KV Cache Carries Its Own Sparse-Attention Signal in a Vestigial Branch

Lightweight Probabilistic Deep Networks

Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models

TopTimeNet: Topologically-assisted time-series classification model

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Multi-Channel Deep Networks for Block-Based Image Compressive Sensing

Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network

Prescriptive Scaling Laws for Data Constrained Training

Anti-Symmetric DGN: a stable architecture for Deep Graph Networks

Improving out-of-distribution generalization via multi-task self-supervised pretraining

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative

Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Direct Topology Tracking in Continuous Implicit Models

A Variational Perspective on Generative Flow Networks

Dropping Convexity for Faster Semi-definite Optimization

The Complexity of NISQ

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization

ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reinforcement Learning for Solving the Vehicle Routing Problem

Hurdles to Progress in Long-form Question Answering

High-Dimensional Learning Dynamics of Attention-Indexed Models

Optimal transport mapping via input convex neural networks

Verifier-free Test-Time Sampling for Vision-Language-Action Models

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

Thinking Like Transformers

Scalable In-context Ranking with Generative Models

Less is More: Task-aware Layer-wise Distillation for Language Model Compression

Advanced Skills by Learning Locomotion and Local Navigation End-to-End

RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction

Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

A Broader Look at Model Merging: Rethinking Implicit Regularization Induced by Task Arithmetic

A Comprehensive Survey on Trustworthy Recommender Systems

Efficient Dataset Distillation Using Random Feature Approximation

Empower Sequence Labeling with Task-Aware Neural Language Model

Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Spam Review Detection with Graph Convolutional Networks