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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9,121 to 9,180 of 20,225

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Eric Brochu, Vlad M. Cora, Nando de Freitas
cs.LGarXiv:1012.2599v12010
Simple, Robust and Optimal Ranking from Pairwise Comparisons
Nihar B. Shah, Martin J. Wainwright
cs.LGcs.AIcs.ITarXiv:1512.08949v22015
Can Computers Create Art?
Aaron Hertzmann
cs.AIcs.CVcs.GRarXiv:1801.04486v62018
Safe Learning of Quadrotor Dynamics Using Barrier Certificates
Li Wang, Evangelos A. Theodorou, Magnus Egerstedt
cs.LGeess.SYarXiv:1710.05472v12017
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan, Jiahao Xie, Ziwei Liu +2
cs.CVcs.LGarXiv:2006.10645v12020
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen, Massimiliano Mancini, Xiatian Zhu +1
cs.CVcs.AIcs.LGarXiv:2208.11296v12022
Machine learning and data analytics for the IoT
Erwin Adi, Adnan Anwar, Zubair Baig +1
eess.SPcs.LGarXiv:2007.04093v12020
A Systematic Review of Generative AI for Teaching and Learning Practice
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao +2
cs.IRcs.AIcs.CLarXiv:2406.09520v12024
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan, Collin Meese, Wanxin Li +2
cs.LGcs.AIarXiv:2305.19591v22023
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews +2
stat.MLcs.LGarXiv:1901.11356v42019
Recurrent Quantum Neural Networks
Johannes Bausch
cs.LGquant-phstat.MLarXiv:2006.14619v12020
A divide-and-conquer algorithm for quantum state preparation
Israel F. Araujo, Daniel K. Park, Francesco Petruccione +1
quant-phcs.LGarXiv:2008.01511v22020
Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion
Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim +1
cs.ROcs.LGeess.SYarXiv:2202.05481v22022
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.CVcs.AIcs.LGarXiv:1707.03502v22017
Anomaly Detection using Autoencoders in High Performance Computing Systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi +2
cs.LGcs.AIarXiv:1811.05269v12018
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Pu Zhao, Pin-Yu Chen, Payel Das +2
cs.LGcs.CVstat.MLarXiv:2005.00060v22020
Convolutional Dictionary Learning: A Comparative Review and New Algorithms
Cristina Garcia-Cardona, Brendt Wohlberg
cs.LGeess.IVstat.MLarXiv:1709.02893v52017
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks
Aryan Mobiny, Hien V. Nguyen, Supratik Moulik +2
cs.LGcs.AIcs.CVarXiv:1906.04569v12019
Learning to Deceive with Attention-Based Explanations
Danish Pruthi, Mansi Gupta, Bhuwan Dhingra +2
cs.CLcs.LGarXiv:1909.07913v22019
ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction
Limiao Zhang, Yuhui Lu, Jie Gao +3
physics.soc-phcs.LGphysics.data-anarXiv:2608.29658v12026
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification
Xiaoyu Cao, Neil Zhenqiang Gong
cs.CRcs.LGstat.MLarXiv:1709.05583v42017
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, Yao Fu +4
cs.CLcs.AIcs.DCarXiv:2402.01739v22024
Summaries:简体中文
CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships
Jacy Reese Anthis, Mark Díaz, Renee Shelby
cs.CYcs.AIcs.CLarXiv:2609.00250v12026
Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions
Tanmay Sinha, Patrick Jermann, Nan Li +1
cs.HCcs.LGarXiv:1407.7131v22014
MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes
Jonggyu Jang, Hongjae Nam, Vishrant Tripathi +2
cs.ITcs.LGeess.SParXiv:2609.00715v12026
Gradient Descent Converges to Minimizers
Jason D. Lee, Max Simchowitz, Michael I. Jordan +1
stat.MLcs.LGmath.OCarXiv:1602.04915v22016
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
Longhao Yuan, Chao Li, Danilo Mandic +2
cs.LGcs.CVstat.MLarXiv:1809.02288v22018
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Shuo Wang, Yanran Li, Jiang Zhang +3
eess.SPcs.LGeess.IVarXiv:2002.12898v22020
Efficiently learning Ising models on arbitrary graphs
Guy Bresler
cs.LGcs.ITstat.MLarXiv:1411.6156v22014
A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno +3
cs.CLcs.IRcs.LGarXiv:2007.08024v12020
Towards Adversarial Attack on Vision-Language Pre-training Models
Jiaming Zhang, Qi Yi, Jitao Sang
cs.LGcs.CLcs.CVarXiv:2206.09391v22022
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Yiyang Zhou, Chenhang Cui, Rafael Rafailov +2
cs.LGcs.CLcs.CVarXiv:2402.11411v12024
Explaining Classifiers with Causal Concept Effect (CaCE)
Yash Goyal, Amir Feder, Uri Shalit +1
cs.LGcs.CVstat.MLarXiv:1907.07165v22019
Particle Transformer for Jet Tagging
Huilin Qu, Congqiao Li, Sitian Qian
hep-phcs.LGhep-exarXiv:2202.03772v32022
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas, Sung Min Park, Logan Engstrom +2
stat.MLcs.CVcs.LGarXiv:2202.00622v12022
$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
Zhangyang Wang, Ding Liu, Shiyu Chang +3
cs.CVcs.AIcs.LGarXiv:1601.04149v32016
VoiceLongMemEval: Do Assistants Remember How You Sounded?
Ramit Pahwa, Parivesh Priye, Apoorva Beedu
cs.AIcs.LGarXiv:2609.00570v12026
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
Xuanyi Dong, Lu Liu, Katarzyna Musial +1
cs.LGstat.MLarXiv:2009.00437v62020
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
Tom Zahavy, Matan Haroush, Nadav Merlis +2
cs.LGstat.MLarXiv:1809.02121v32018
Satisfying Real-world Goals with Dataset Constraints
Gabriel Goh, Andrew Cotter, Maya Gupta +1
cs.LGarXiv:1606.07558v22016
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Bhaskarjit Sarmah, Benika Hall, Rohan Rao +3
cs.CLcs.LGq-fin.STarXiv:2408.04948v12024
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He, Tong He +13
cs.LGcs.CLcs.CVarXiv:1907.04433v22019
Exact Global MCMC with Denoising Diffusion
Mitch Hill
stat.MLcs.LGarXiv:2609.00279v12026
DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
Mufei Li, Jinjing Zhou, Jiajing Hu +4
cs.LGq-bio.QMarXiv:2106.14232v12021
A Deep Metric for Multimodal Registration
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus +2
cs.CVcs.LGcs.NEarXiv:1609.05396v12016
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Ari Seff, Brian Cera, Dian Chen +6
cs.CVcs.AIcs.LGarXiv:2309.16534v12023
Visualizing the Feature Importance for Black Box Models
Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl
stat.MLcs.AIcs.LGarXiv:1804.06620v32018
Cost-Sensitive Support Vector Machines
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Arya Iranmehr
cs.LGstat.MLarXiv:1212.0975v22012
SPlit: An Optimal Method for Data Splitting
V. Roshan Joseph, Akhil Vakayil
stat.MLcs.LGarXiv:2012.10945v22020
Learning Human Health and Diseases from 24-hour Wrist Movement
Yong Wang, Dylan McGagh, Katya Broomberg +21
cs.LGarXiv:2608.29494v12026
Dr. Claw: An AI Scientist Workspace for Vibe Research
Dingjie Song, Hanrong Zhang, Dawei Liu +10
cs.AIcs.CLcs.CVarXiv:2609.00365v12026
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor +8
cs.LGcs.CLstat.MLarXiv:1901.11373v12019
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Xiang Long, Chuang Gan, Gerard de Melo +3
cs.CVcs.LGarXiv:1711.09550v12017
LSKNet: A Foundation Lightweight Backbone for Remote Sensing
Yuxuan Li, Xiang Li, Yimian Dai +5
cs.CVcs.LGarXiv:2403.11735v62024
Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds
Clinton Enwerem, John S. Baras, Calin Belta
cs.ROcs.LGarXiv:2609.01453v12026
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
cs.CLcs.LGarXiv:2210.17432v22022
Regularization Techniques for Learning with Matrices
Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari
cs.LGstat.MLarXiv:0910.0610v22009
Regression Conformal Prediction with Nearest Neighbours
Harris Papadopoulos, Vladimir Vovk, Alex Gammerman
cs.LGarXiv:1401.3880v12014
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
William Fedus, Mihaela Rosca, Balaji Lakshminarayanan +3
stat.MLcs.LGarXiv:1710.08446v32017
Towards Automatic Face-to-Face Translation
Prajwal K R, Rudrabha Mukhopadhyay, Jerin Philip +3
cs.CVcs.AIcs.LGarXiv:2003.00418v12020

Machine Learning

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Simple, Robust and Optimal Ranking from Pairwise Comparisons

Can Computers Create Art?

Safe Learning of Quadrotor Dynamics Using Barrier Certificates

Online Deep Clustering for Unsupervised Representation Learning

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

Machine learning and data analytics for the IoT

A Systematic Review of Generative AI for Teaching and Learning Practice

Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities

Functional Regularisation for Continual Learning with Gaussian Processes

Recurrent Quantum Neural Networks

A divide-and-conquer algorithm for quantum state preparation

Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion

Deep Learning for Sensor-based Activity Recognition: A Survey

Anomaly Detection using Autoencoders in High Performance Computing Systems

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness

Convolutional Dictionary Learning: A Comparative Review and New Algorithms

DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks

Learning to Deceive with Attention-Based Explanations

ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships

Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions

MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes

Gradient Descent Converges to Minimizers

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Efficiently learning Ising models on arbitrary graphs

A Survey on Computational Propaganda Detection

Towards Adversarial Attack on Vision-Language Pre-training Models

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Explaining Classifiers with Causal Concept Effect (CaCE)

Particle Transformer for Jet Tagging

Datamodels: Predicting Predictions from Training Data

$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

VoiceLongMemEval: Do Assistants Remember How You Sounded?

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning

Satisfying Real-world Goals with Dataset Constraints

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Exact Global MCMC with Denoising Diffusion

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

A Deep Metric for Multimodal Registration

MotionLM: Multi-Agent Motion Forecasting as Language Modeling

Visualizing the Feature Importance for Black Box Models

Cost-Sensitive Support Vector Machines

SPlit: An Optimal Method for Data Splitting

Learning Human Health and Diseases from 24-hour Wrist Movement

Dr. Claw: An AI Scientist Workspace for Vibe Research

Learning and Evaluating General Linguistic Intelligence

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

LSKNet: A Foundation Lightweight Backbone for Remote Sensing

Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Regularization Techniques for Learning with Matrices

Regression Conformal Prediction with Nearest Neighbours

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Towards Automatic Face-to-Face Translation