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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3,361 to 3,420 of 20,454

An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi +2
stat.MLcs.CVcs.LGarXiv:1312.6965v12013
Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning
Mar Gonzàlez I Català, Haitz Sáez de Ocáriz Borde, Davide Murari +3
cs.AIcs.CLcs.ITarXiv:2609.09030v12026
Manifold learning: what, how, and why
Marina Meilă, Hanyu Zhang
stat.MLcs.LGarXiv:2311.03757v12023
Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths
Qihao Yuan
cs.AIcs.LGarXiv:2609.09001v12026
Machine Unlearning via Algorithmic Stability
Enayat Ullah, Tung Mai, Anup Rao +2
cs.LGstat.MLarXiv:2102.13179v12021
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
Wangyang Chen, Abraham Noah Wu, Filip Biljecki
cs.CVcs.CYcs.LGarXiv:2105.09908v32021
Learning to Efficiently Sample from Diffusion Probabilistic Models
Daniel Watson, Jonathan Ho, Mohammad Norouzi +1
cs.LGarXiv:2106.03802v12021
A Survey of Code-switched Speech and Language Processing
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi +1
cs.CLcs.LGstat.MLarXiv:1904.00784v32019
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:2001.03690v22020
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
cs.LGarXiv:0811.1629v12008
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu +1
cs.LGcs.CRstat.MLarXiv:2005.06149v12020
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu +2
cs.LGcs.AIstat.MLarXiv:1906.00098v12019
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
Raphael Korbmacher, Antoine Tordeux
cs.LGphysics.soc-phstat.MLarXiv:2111.06740v22021
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
Ke Chen, Yusong Wu, Haohe Liu +3
cs.SDcs.AIcs.LGarXiv:2308.01546v12023
On Gradient-Based Learning in Continuous Games
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
cs.LGstat.MLarXiv:1804.05464v32018
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
stat.MLcs.CYcs.LGarXiv:2007.10306v32020
Focus Is All You Need: Loss Functions For Event-based Vision
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
cs.CVcs.LGcs.ROarXiv:1904.07235v12019
Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
cs.CRcs.DCcs.LGarXiv:2102.01854v42021
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
cs.LGcs.CVstat.MLarXiv:1905.05929v22019
Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani +2
cs.LGcs.ROstat.MLarXiv:1804.02395v22018
Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong +2
cs.LGcs.CVcs.NEarXiv:2006.14536v22020
Learn to Combine Modalities in Multimodal Deep Learning
Kuan Liu, Yanen Li, Ning Xu +1
stat.MLcs.AIcs.LGarXiv:1805.11730v12018
Multiple instance active learning for object detection
Tianning Yuan, Fang Wan, Mengying Fu +4
cs.CVcs.AIcs.LGarXiv:2104.02324v12021
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network
Jing Zhang, Dacheng Tao
cs.CVcs.LGarXiv:1906.04334v22019
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed +1
eess.IVcs.CVcs.LGarXiv:2305.18453v52023
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang +3
cs.LGcs.CRarXiv:2206.10469v22022
On Feature Normalization and Data Augmentation
Boyi Li, Felix Wu, Ser-Nam Lim +2
cs.LGcs.CLcs.CVarXiv:2002.11102v32020
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
cs.LGstat.MLarXiv:1902.00744v22019
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
cs.LGcs.AIcs.DLarXiv:1909.06674v12019
Free Process Rewards without Process Labels
Lifan Yuan, Wendi Li, Huayu Chen +6
cs.LGcs.CLarXiv:2412.01981v12024
Can multi-label classification networks know what they don't know?
Haoran Wang, Weitang Liu, Alex Bocchieri +1
cs.LGarXiv:2109.14162v22021
BlenderProc
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer +5
cs.CVcs.GRcs.LGarXiv:1911.01911v12019
GEO-Bench: Toward Foundation Models for Earth Monitoring
Alexandre Lacoste, Nils Lehmann, Pau Rodriguez +14
cs.LGcs.CVarXiv:2306.03831v22023
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka +1
cs.CVcs.LGarXiv:1406.6507v12014
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie, Longhui Yuan, Shuang Li +3
cs.LGcs.CVarXiv:2112.01406v32021
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh +1
cs.LGstat.MLarXiv:2010.14498v22020
FairBatch: Batch Selection for Model Fairness
Yuji Roh, Kangwook Lee, Steven Euijong Whang +1
cs.LGcs.AIstat.MLarXiv:2012.01696v22020
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu, Mohamed Boussaha
cs.CVcs.LGarXiv:1904.02113v12019
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang, Jiawei Liu, Chuan Shi
cs.LGcs.SIarXiv:2103.02885v12021
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan, Mengdi Wang
cs.LGmath.STstat.MLarXiv:2002.09516v12020
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon, Yaron Lipman
cs.CVcs.GRcs.LGarXiv:2006.05400v22020
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee +3
stat.MLcs.LGarXiv:1901.11300v22019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen, Stefano Rosa, Yishu Miao +4
cs.CVcs.AIcs.LGarXiv:1903.01534v12019
Training Quantum Embedding Kernels on Near-Term Quantum Computers
Thomas Hubregtsen, David Wierichs, Elies Gil-Fuster +3
quant-phcs.LGarXiv:2105.02276v12021
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
Jiaxi Gu, Xiaojun Meng, Guansong Lu +9
cs.CVcs.LGarXiv:2202.06767v42022
Orb: A Fast, Scalable Neural Network Potential
Mark Neumann, James Gin, Benjamin Rhodes +5
cond-mat.mtrl-scics.LGarXiv:2410.22570v12024
Tree Transformer: Integrating Tree Structures into Self-Attention
Yau-Shian Wang, Hung-Yi Lee, Yun-Nung Chen
cs.CLcs.LGarXiv:1909.06639v22019
Characterizing Truthful Multi-Armed Bandit Mechanisms
Moshe Babaioff, Yogeshwer Sharma, Aleksandrs Slivkins
cs.DScs.GTcs.LGarXiv:0812.2291v72008
Few-shot Scene-adaptive Anomaly Detection
Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy +1
cs.CVcs.LGarXiv:2007.07843v12020
Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
cs.LGcs.GTarXiv:1311.6838v12013
A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm
Chi Jin, Praneeth Netrapalli, Rong Ge +2
math.PRcs.LGstat.MLarXiv:1902.03736v12019
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning
Adarsh Dave, Jared Mitchell, Sven Burke +3
cs.LGcs.ROarXiv:2111.14786v12021
Trellis Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1810.06682v22018
Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI
Arun Vignesh Malarkkan, Xinyuan Wang, Yanjie Fu
cs.AIcs.ETcs.LGarXiv:2609.08216v12026
A Better Spur Should Start From Each Objective
Shanwen Mao, Hao Zhang, Guangtao nie +4
cs.AIcs.LGarXiv:2609.08211v12026
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi, Kaushik Roy
cs.NEcs.LGstat.MLarXiv:2008.03658v32020
Fully Hyperbolic Neural Networks
Weize Chen, Xu Han, Yankai Lin +5
cs.CLcs.LGarXiv:2105.14686v32021
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
Ho Kei Cheng, Masato Ishii, Akio Hayakawa +3
cs.CVcs.LGcs.SDarXiv:2412.15322v22024
Learning-Assisted Automated Reasoning with Flyspeck
Cezary Kaliszyk, Josef Urban
cs.AIcs.DLcs.LGarXiv:1211.7012v32012
Meshless physics-informed deep learning method for three-dimensional solid mechanics
Diab W. Abueidda, Qiyue Lu, Seid Koric
cs.LGcs.CEarXiv:2012.01547v22020

Machine Learning

An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression

Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning

Manifold learning: what, how, and why

Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths

Machine Unlearning via Algorithmic Stability

Classification of Urban Morphology with Deep Learning: Application on Urban Vitality

Learning to Efficiently Sample from Diffusion Probabilistic Models

A Survey of Code-switched Speech and Language Processing

Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

Stability Bound for Stationary Phi-mixing and Beta-mixing Processes

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

Spectral Perturbation Meets Incomplete Multi-view Data

Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

On Gradient-Based Learning in Continuous Games

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction

Focus Is All You Need: Loss Functions For Event-based Vision

Provably Secure Federated Learning against Malicious Clients

Orthogonal Deep Neural Networks

Structured Evolution with Compact Architectures for Scalable Policy Optimization

Smooth Adversarial Training

Learn to Combine Modalities in Multimodal Deep Learning

Multiple instance active learning for object detection

FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis

The Privacy Onion Effect: Memorization is Relative

On Feature Normalization and Data Augmentation

Asymmetric Valleys: Beyond Sharp and Flat Local Minima

A Step Toward Quantifying Independently Reproducible Machine Learning Research

Free Process Rewards without Process Labels

Can multi-label classification networks know what they don't know?

BlenderProc

GEO-Bench: Toward Foundation Models for Earth Monitoring

Weakly-supervised Discovery of Visual Pattern Configurations

Active Learning for Domain Adaptation: An Energy-Based Approach

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

FairBatch: Batch Selection for Model Fairness

Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation

SALD: Sign Agnostic Learning with Derivatives

Robust Inference via Generative Classifiers for Handling Noisy Labels

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Training Quantum Embedding Kernels on Near-Term Quantum Computers

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark

Orb: A Fast, Scalable Neural Network Potential

Tree Transformer: Integrating Tree Structures into Self-Attention

Characterizing Truthful Multi-Armed Bandit Mechanisms

Few-shot Scene-adaptive Anomaly Detection

Learning Prices for Repeated Auctions with Strategic Buyers

A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

Trellis Networks for Sequence Modeling

Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI

A Better Spur Should Start From Each Objective

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Fully Hyperbolic Neural Networks

MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

Learning-Assisted Automated Reasoning with Flyspeck

Meshless physics-informed deep learning method for three-dimensional solid mechanics