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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8,401 to 8,460 of 20,218

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Tianzhe Chu, Yuexiang Zhai, Jihan Yang +6
cs.AIcs.CVcs.LGarXiv:2501.17161v22025
Motion-Aware Feature for Improved Video Anomaly Detection
Yi Zhu, Shawn Newsam
cs.CVcs.LGeess.IVarXiv:1907.10211v12019
Mean Flows for One-step Generative Modeling
Zhengyang Geng, Mingyang Deng, Xingjian Bai +2
cs.LGcs.CVarXiv:2505.13447v12025
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Mido Assran, Adrien Bardes, David Fan +27
cs.AIcs.CVcs.LGarXiv:2506.09985v12025
Group Sequence Policy Optimization
Chujie Zheng, Shixuan Liu, Mingze Li +9
cs.LGcs.AIcs.CLarXiv:2507.18071v22025
Self-Training: A Survey
Massih-Reza Amini, Vasilii Feofanov, Loic Pauletto +3
cs.LGarXiv:2202.12040v62022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Vivian Lai, Samuel Carton, Rajat Bhatnagar +3
cs.AIcs.HCcs.LGarXiv:2204.11788v12022
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Yunlu Wang, Menghan Hu, Qingli Li +3
cs.LGcs.CVeess.SParXiv:2002.05534v22020
Conditional Generative Neural System for Probabilistic Trajectory Prediction
Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
cs.CVcs.AIcs.LGarXiv:1905.01631v22019
Generative Adversarial Active Learning
Jia-Jie Zhu, José Bento
cs.LGstat.MLarXiv:1702.07956v52017
Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief
Robert Engel
eess.IVcs.CVcs.HCarXiv:2609.03095v12026
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
Kira Vinogradova, Alexandr Dibrov, Gene Myers
cs.CVcs.LGeess.IVarXiv:2002.11434v12020
Supervised Classification Performance of Multispectral Images
K. Perumal, R. Bhaskaran
cs.LGcs.CVarXiv:1002.4046v12010
From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning
Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria Fodor
cs.LGcs.MAcs.SIarXiv:2609.02984v12026
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Clément Farabet, Camille Couprie, Laurent Najman +1
cs.CVcs.LGarXiv:1202.2160v22012
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning
Carl-Johan Hoel, Krister Wolff, Leo Laine
cs.ROcs.AIcs.LGarXiv:1803.10056v22018
Linear model predictive safety certification for learning-based control
Kim P. Wabersich, Melanie N. Zeilinger
eess.SYcs.LGarXiv:1803.08552v62018
On the Interaction Between Model Compression and Test-Time Adaptation
Francesco Corti, Dong Wang, Young D. Kwon +2
cs.LGcs.AIarXiv:2609.03604v12026
Learning efficient sparse and low rank models
Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro
cs.LGarXiv:1212.3631v12012
Investigating Linear Probe Robustness to Linguistic Register, Medical Specialty, and Corpus Shifts in Medical QA
Nishant Mishra, Ameen Abu-Hanna, Iacer Calixto
cs.CLcs.LGarXiv:2609.01361v12026
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen, Tianhao Wu, Shengjie Wang +8
cs.ROcs.AIcs.LGarXiv:2206.08686v22022
An Empirical Study of Mamba-based Language Models
Roger Waleffe, Wonmin Byeon, Duncan Riach +13
cs.LGcs.CLarXiv:2406.07887v12024
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Zhaobin Mo, Xuan Di, Rongye Shi
cs.LGeess.SParXiv:2012.13376v42020
GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri +10
eess.IVcs.AIcs.CVarXiv:2609.01310v12026
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
cs.LGcs.AIcs.ROarXiv:1606.04753v22016
Topological Steering
Benoît Guérand, Tan Minh Nguyen
cs.LGarXiv:2609.00597v12026
Boltzmann Exploration Done Right
Nicolò Cesa-Bianchi, Claudio Gentile, Gábor Lugosi +1
cs.LGstat.MLarXiv:1705.10257v22017
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xuanzhao Wang, Zhengping Che, Bo Jiang +6
cs.CVcs.LGarXiv:2011.02763v22020
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder, Barbara Plank
cs.CLcs.LGarXiv:1707.05246v12017
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
Jongsoo Park, Maxim Naumov, Protonu Basu +25
cs.LGstat.MLarXiv:1811.09886v22018
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Baichuan Zhou, Ying Hu, Xi Weng +5
cs.LGcs.CLarXiv:2402.14289v12024
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
cs.LGcs.ROeess.SYarXiv:2110.00675v82021
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega +2
cs.LGstat.MLarXiv:2201.00766v22022
Large Language Diffusion Models
Shen Nie, Fengqi Zhu, Zebin You +7
cs.CLcs.LGarXiv:2502.09992v32025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team, Angang Du, Bofei Gao +93
cs.AIcs.LGarXiv:2501.12599v42025
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
Amos Beimel, Kobbi Nissim, Uri Stemmer
cs.LGcs.CRstat.MLarXiv:1407.2674v12014
Noise Flow: Noise Modeling with Conditional Normalizing Flows
Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
cs.CVcs.LGeess.IVarXiv:1908.08453v12019
Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
Lean Wang, Huazuo Gao, Chenggang Zhao +2
cs.LGcs.CLarXiv:2408.15664v12024
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
Stefanos Angelidis, Mirella Lapata
cs.CLcs.AIcs.LGarXiv:1808.08858v12018
Convolutional Neural Network Pruning with Structural Redundancy Reduction
Zi Wang, Chengcheng Li, Xiangyang Wang
cs.CVcs.LGarXiv:2104.03438v12021
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Xun Huang, Zhengqi Li, Guande He +2
cs.CVcs.AIcs.LGarXiv:2506.08009v22025
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga, Percy Liang
cs.SEcs.CLcs.LGarXiv:2005.10636v22020
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Moo Jin Kim, Chelsea Finn, Percy Liang
cs.ROcs.AIcs.CVarXiv:2502.19645v22025
Neighborhood Contrastive Learning for Novel Class Discovery
Zhun Zhong, Enrico Fini, Subhankar Roy +3
cs.CVcs.AIcs.LGarXiv:2106.10731v12021
Efficient Low Rank Tensor Ring Completion
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
cs.LGcs.ITarXiv:1707.08184v12017
Lightweight Probabilistic Deep Networks
Jochen Gast, Stefan Roth
cs.CVcs.LGstat.MLarXiv:1805.11327v12018
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
NVIDIA, :, Johan Bjorck +40
cs.ROcs.AIcs.LGarXiv:2503.14734v22025
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu, Changyu Chen, Wenjun Li +5
cs.LGcs.AIcs.CLarXiv:2503.20783v22025
MAST: A Memory-Augmented Self-supervised Tracker
Zihang Lai, Erika Lu, Weidi Xie
cs.CVcs.LGarXiv:2002.07793v22020
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang, Zheyu Shen, Yexiao He +4
cs.LGcs.DCarXiv:2409.05976v12024
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
Pooling and Drift in Delayed Bandits
Melika Baghi
stat.MLcs.LGarXiv:2609.01761v12026
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Shubham Toshniwal, Wei Du, Ivan Moshkov +3
cs.CLcs.AIcs.LGarXiv:2410.01560v22024
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
Minho Heo, Youngwoon Lee, Doohyun Lee +1
cs.ROcs.AIcs.LGarXiv:2305.12821v12023
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie, Nan Jiang, Huan Wang +2
cs.LGstat.MLarXiv:2106.04895v22021
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai, Chen Dan, Di He +5
cs.LGcs.CRstat.MLarXiv:2001.02378v42020
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Tianyi Zhou, Dacheng Tao, Xindong Wu
cs.LGstat.MLarXiv:1007.3564v32010
Molecular graph generation with Graph Neural Networks
Pietro Bongini, Monica Bianchini, Franco Scarselli
stat.MLcs.LGq-bio.BMarXiv:2012.07397v22020
A Review on Methods and Applications in Multimodal Deep Learning
Jabeen Summaira, Xi Li, Amin Muhammad Shoib +1
cs.LGcs.MMarXiv:2202.09195v12022
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager +3
cs.LGcs.AIstat.MLarXiv:1806.10729v52018

Machine Learning

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Motion-Aware Feature for Improved Video Anomaly Detection

Mean Flows for One-step Generative Modeling

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Group Sequence Policy Optimization

Self-Training: A Survey

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation

Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

Conditional Generative Neural System for Probabilistic Trajectory Prediction

Generative Adversarial Active Learning

Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief

Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping

Supervised Classification Performance of Multispectral Images

From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers

Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning

Linear model predictive safety certification for learning-based control

On the Interaction Between Model Compression and Test-Time Adaptation

Learning efficient sparse and low rank models

Investigating Linear Probe Robustness to Linguistic Register, Medical Specialty, and Corpus Shifts in Medical QA

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

An Empirical Study of Mamba-based Language Models

A Physics-Informed Deep Learning Paradigm for Car-Following Models

GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

Topological Steering

Boltzmann Exploration Done Right

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction

Learning to select data for transfer learning with Bayesian Optimization

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview

Class-Incremental Continual Learning into the eXtended DER-verse

Large Language Diffusion Models

Kimi k1.5: Scaling Reinforcement Learning with LLMs

Private Learning and Sanitization: Pure vs. Approximate Differential Privacy

Noise Flow: Noise Modeling with Conditional Normalizing Flows

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised

Convolutional Neural Network Pruning with Structural Redundancy Reduction

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Graph-based, Self-Supervised Program Repair from Diagnostic Feedback

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Neighborhood Contrastive Learning for Novel Class Discovery

Efficient Low Rank Tensor Ring Completion

Lightweight Probabilistic Deep Networks

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Understanding R1-Zero-Like Training: A Critical Perspective

MAST: A Memory-Augmented Self-supervised Tracker

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

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

Pooling and Drift in Delayed Bandits

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction

Molecular graph generation with Graph Neural Networks

A Review on Methods and Applications in Multimodal Deep Learning

Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation