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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24,301 to 24,360 of 33,209

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li, Zhenghao Peng, Lan Feng +3
cs.LGcs.ROarXiv:2109.12674v32021
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji +1
cs.LGcs.AIcs.CLarXiv:2402.10210v12024
IDEEA: training-free Input-Dependent stEEring via Activation cluster matching
Zheng Wang, Muchen Li, Renjie Liao +1
cs.CLcs.LGarXiv:2609.02089v12026
Next Generation Reservoir Computing
Daniel J. Gauthier, Erik Bollt, Aaron Griffith +1
cs.LGnlin.AOarXiv:2106.07688v22021
Explanations-Driven Active Feature Acquisition for Algorithmic Recourse
Vinura Galwaduge, Jagath Samarabandu
cs.LGcs.AIarXiv:2609.12179v12026
Residual Reinforcement Learning for Robot Control
Tobias Johannink, Shikhar Bahl, Ashvin Nair +6
cs.ROcs.LGarXiv:1812.03201v22018
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton +5
cs.LGarXiv:2212.00970v22022
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Danny Driess, Jost Tobias Springenberg, Brian Ichter +8
cs.LGcs.ROarXiv:2505.23705v12025
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
Gokul Swamy, Christoph Dann, Rahul Kidambi +2
cs.LGarXiv:2401.04056v22024
Not All Ranks Are Equal: Budget-Aware LoRA Merging Across Tasks
Avinash Amballa, Yashas Malur Saidutta, Wenbo Li +2
cs.LGcs.AIarXiv:2609.22237v12026
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
Zongxia Li, Xiyang Wu, Guangyao Shi +6
cs.CVcs.LGarXiv:2505.01481v42025
BER-PEF: Unified Human Mobility Predictability Evaluation via Bayes Error Rate Estimation
En Xu, Jingtao Ding, Zhiwen Yu +1
cs.LGcs.ITmath.ITarXiv:2609.04292v12026
Super-Samples from Kernel Herding
Yutian Chen, Max Welling, Alex Smola
cs.LGstat.MLarXiv:1203.3472v12012
A Drosophila Whole-Connectome Network Can Learn Human-Designed Cognitive Tasks
Joonghui Cho, Minchan Kang, Daeshik Kim
cs.LGarXiv:2610.10014v12026
Projected Riemannian Gradient Descent for the Bures-Wasserstein Barycenter: Dimension-Independent Linear Convergence at Unit Step Size
A. Afham
cs.LGmath.OCquant-pharXiv:2609.03762v12026
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro, Pedro H. P. Savarese, Daniel R. Figueiredo
cs.SIcs.LGstat.MLarXiv:1704.03165v32017
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning
Guannan Qu, Adam Wierman
math.OCcs.LGarXiv:2002.00260v12020
Evidence Integration in Large Language Models
Sebastien Kawada, Manolis Kellis
cs.CLcs.AIcs.LGarXiv:2609.04290v12026
Multi-output Gaussian process prediction of physical fields under linear equality constraints
Mahamat Hamdan Nassouradine, Clément Gauchy, Pierre-Emmanuel Angeli +1
stat.MLcs.LGarXiv:2608.25709v12026
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
Michael S. Ryoo, AJ Piergiovanni, Anurag Arnab +2
cs.CVcs.LGarXiv:2106.11297v42021
Estimating Pedestrian Volumes from GIS-Derived Built-Environment Features: A Machine Learning Framework
Bahareh Golchin, Banafsheh Rekabdar, Sirisha Kothuri +1
cs.LGarXiv:2609.12173v12026
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles +9
cs.LGcs.CRarXiv:2109.12298v42021
On the Complexity of Preference-Based Bandits
Ahmed Ben Yahmed, Marc Abeille, Clément Calauzènes
cs.AIcs.LGarXiv:2609.39351v12026
PEAR: Planner-Executor Agent Robustness Benchmark
Shen Dong, Mingxuan Zhang, Pengfei He +4
cs.LGarXiv:2510.07505v42025
Transfer learning based multi-fidelity physics informed deep neural network
Souvik Chakraborty
cs.LGphysics.comp-phstat.MLarXiv:2005.10614v22020
SPADE-DFL: Communication-Efficient Decentralized Federated Learning via Derivative-Free Linearized ADMM
Mengli Wei, Mengkai Zhu, Jiawen Chen +2
cs.LGcs.NIarXiv:2609.29446v12026
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
cs.IRcs.CLcs.LGarXiv:1910.14025v22019
Llama-Nemotron: Efficient Reasoning Models
Akhiad Bercovich, Itay Levy, Izik Golan +133
cs.CLcs.AIcs.LGarXiv:2505.00949v52025
A Theory of Generative ConvNet
Jianwen Xie, Yang Lu, Song-Chun Zhu +1
stat.MLcs.LGarXiv:1602.03264v32016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W Rae, Jonathan J Hunt, Tim Harley +5
cs.LGarXiv:1610.09027v12016
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu +2
cs.LGcs.MAarXiv:2110.14300v52021
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
Khang Nguyen, Hieu Nong, Vinh Nguyen +3
cs.LGstat.MLarXiv:2211.15779v32022
Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning
Christos Petridis, Zoran Obradovic, Mladen Kezunovic
cs.LGcs.CLarXiv:2609.04272v12026
Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Salaheddin Alzubi, Creston Brooks, Purva Chiniya +9
cs.LGcs.CLcs.IRarXiv:2503.20201v12025
Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh +3
cs.CLcs.LGarXiv:2305.03514v32023
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations
Rishit Dagli, Abir Harrasse, Luke Zhang +4
cs.LGcs.CLarXiv:2606.05165v12026
Spectral-Target Physical Latent Structuring for JEPA-Style World Models
Penghao Zhu, Salvatore Penachio, Kaustav Mukherjee +1
cs.LGarXiv:2609.04264v32026
Contextual Expressive Text-to-Speech
Jianhong Tu, Zeyu Cui, Xiaohuan Zhou +4
eess.AScs.CLcs.LGarXiv:2211.14548v12022
Learning Beyond Full Imitation: Task-Preserving Knowledge Distillation
Qianfeng Yuan, Wenbing Tao
cs.LGarXiv:2609.39338v12026
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Leitian Tao, Ilia Kulikov, Swarnadeep Saha +5
cs.CLcs.LGarXiv:2510.07242v32025
XGBoost: A Scalable Tree Boosting System
Tianqi Chen, Carlos Guestrin
cs.LGarXiv:1603.02754v32016
Summaries:한국어
Deep Neural Networks for Estimation and Inference
Max H. Farrell, Tengyuan Liang, Sanjog Misra
econ.EMcs.LGmath.STarXiv:1809.09953v32018
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea +3
cs.ROcs.AIcs.CVarXiv:2210.14222v12022
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

Machine Learning

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation

IDEEA: training-free Input-Dependent stEEring via Activation cluster matching

Next Generation Reservoir Computing

Explanations-Driven Active Feature Acquisition for Algorithmic Recourse

Residual Reinforcement Learning for Robot Control

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

A Minimaximalist Approach to Reinforcement Learning from Human Feedback

Not All Ranks Are Equal: Budget-Aware LoRA Merging Across Tasks

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding

BER-PEF: Unified Human Mobility Predictability Evaluation via Bayes Error Rate Estimation

Super-Samples from Kernel Herding

A Drosophila Whole-Connectome Network Can Learn Human-Designed Cognitive Tasks

Projected Riemannian Gradient Descent for the Bures-Wasserstein Barycenter: Dimension-Independent Linear Convergence at Unit Step Size

struc2vec: Learning Node Representations from Structural Identity

Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning

Evidence Integration in Large Language Models

Multi-output Gaussian process prediction of physical fields under linear equality constraints

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Estimating Pedestrian Volumes from GIS-Derived Built-Environment Features: A Machine Learning Framework

Opacus: User-Friendly Differential Privacy Library in PyTorch

On the Complexity of Preference-Based Bandits

PEAR: Planner-Executor Agent Robustness Benchmark

Transfer learning based multi-fidelity physics informed deep neural network

SPADE-DFL: Communication-Efficient Decentralized Federated Learning via Derivative-Free Linearized ADMM

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling

Llama-Nemotron: Efficient Reasoning Models

A Theory of Generative ConvNet

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature

Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning

Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Can Large Language Models Transform Computational Social Science?

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations

Spectral-Target Physical Latent Structuring for JEPA-Style World Models

Contextual Expressive Text-to-Speech

Learning Beyond Full Imitation: Task-Preserving Knowledge Distillation

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

XGBoost: A Scalable Tree Boosting System

Deep Neural Networks for Estimation and Inference

PlanT: Explainable Planning Transformers via Object-Level Representations

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