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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3,241 to 3,300 of 20,308

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
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
Stefano Savazzi, Monica Nicoli, Mehdi Bennis +2
cs.LGcs.DCarXiv:2101.03367v22021
One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context
Skanda Athreya, Yutong Wang
cs.LGstat.MLarXiv:2609.01311v12026
Scalable Optical Learning Operator
Uğur Teğin, Mustafa Yıldırım, İlker Oğuz +2
physics.opticscs.LGeess.IVarXiv:2012.12404v22020
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves, Luís F. Teixeira
eess.IVcs.AIcs.CVarXiv:2205.04766v32022
Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model
V. Sinitsin, O. Ibryaeva, V. Sakovskaya +1
cs.LGarXiv:2112.08673v12021
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim, Tanhim Islam, Oya Beyan +4
q-bio.QMcs.AIcs.LGarXiv:2212.13261v32022
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
Julian Nubert, Johannes Köhler, Vincent Berenz +2
cs.ROcs.LGeess.SYarXiv:1912.10360v22019
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
S. Hu, X. Chen, W. Ni +2
cs.LGarXiv:2012.01489v12020
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
Donggeun Yoo, Sunggyun Park, Joon-Young Lee +2
cs.CVcs.LGarXiv:1506.07704v22015
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren
cs.LGcs.HCstat.MLarXiv:2002.06910v52020
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong, Bo Zhao, Lingjuan Lyu
cs.CRcs.LGarXiv:2206.00240v12022
Learning Robotic Assembly from CAD
Garrett Thomas, Melissa Chien, Aviv Tamar +2
cs.ROcs.LGarXiv:1803.07635v22018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi +1
cs.ROcs.AIcs.CVarXiv:1807.07049v12018
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler +1
cs.CVcs.AIcs.LGarXiv:2109.14910v12021
Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication
Yang Wang, Zhen Gao, Dezhi Zheng +3
cs.ITcs.AIcs.LGarXiv:2205.03770v42022
SpectFormer: Frequency and Attention is what you need in a Vision Transformer
Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran
cs.CVcs.AIcs.CLarXiv:2304.06446v22023
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan +2
cs.CLcs.LGarXiv:2212.09462v22022
Post-Training Ternarization of Qwen3-4B Capability, Effective Bit Budget, Storage Compression, and Deployment
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.AIcs.LGarXiv:2609.01962v12026
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang
cs.SEcs.LGcs.PLarXiv:2309.00608v32023
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems
Francisco J. Gonzalez, Maciej Balajewicz
math.DScs.LGphysics.flu-dynarXiv:1808.01346v22018
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti +5
cs.CVcs.AIcs.LGarXiv:2104.11213v12021
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhongkai Hao, Chengqiang Lu, Zheyuan Hu +5
cs.LGstat.MLarXiv:2007.03196v12020
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
Jiexi Liu, Songcan Chen
cs.LGarXiv:2312.15709v12023
Generating and designing DNA with deep generative models
Nathan Killoran, Leo J. Lee, Andrew Delong +2
cs.LGq-bio.GNstat.MLarXiv:1712.06148v12017
Review of Deep Learning
Rong Zhang, Weiping Li, Tong Mo
cs.LGcs.CVcs.NEarXiv:1804.01653v22018
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B. Schön +1
stat.MLcs.LGeess.SYarXiv:1306.2861v22013
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
Abhishek Divekar, Meet Parekh, Vaibhav Savla +2
cs.LGcs.AIcs.CRarXiv:1811.05372v12018
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Bryse Flowers, R. Michael Buehrer, William C. Headley
eess.SPcs.LGstat.MLarXiv:1903.01563v12019
Reinforced Multi-Teacher Selection for Knowledge Distillation
Fei Yuan, Linjun Shou, Jian Pei +4
cs.CLcs.LGarXiv:2012.06048v22020
Meta-Learning of Neural Architectures for Few-Shot Learning
Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen +1
cs.LGstat.MLarXiv:1911.11090v32019
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou +1
cs.CVcs.AIcs.GRarXiv:2212.03293v22022
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication
Fayçal Ait Aoudia, Jakob Hoydis
cs.ITcs.LGeess.SParXiv:2009.05261v32020
Context-Aware Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
cs.LGcs.AIcs.CRarXiv:1710.09549v32017
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang, Yin Li
cs.CVcs.AIcs.LGarXiv:2005.10411v12020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
cs.LGcs.NEarXiv:2006.04182v52020
Online Ensemble Learning for Imbalanced Data Streams
Boyu Wang, Joelle Pineau
cs.LGstat.MLarXiv:1310.8004v12013
Towards Making the Most of BERT in Neural Machine Translation
Jiacheng Yang, Mingxuan Wang, Hao Zhou +4
cs.CLcs.LGarXiv:1908.05672v52019
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng +7
cs.LGcs.AIarXiv:2402.05749v22024
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Guoqing Chao, Yi Jiang, Dianhui Chu
cs.CVcs.LGarXiv:2312.08697v12023
A Unified Perspective on Multi-Domain and Multi-Task Learning
Yongxin Yang, Timothy M. Hospedales
stat.MLcs.LGcs.NEarXiv:1412.7489v32014
Neural Temporal Point Processes: A Review
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski +1
cs.LGarXiv:2104.03528v52021
Support Topology and Gradient Mixing in Sinkhorn Layers
Dylan Forde
cs.AIcs.LGarXiv:2609.07954v12026

Machine Learning

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

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

Scalable Optical Learning Operator

Explainable Deep Learning Methods in Medical Image Classification: A Survey

Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control

Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

AttentionNet: Aggregating Weak Directions for Accurate Object Detection

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

Privacy for Free: How does Dataset Condensation Help Privacy?

Learning Robotic Assembly from CAD

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication

SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Latent Diffusion for Language Generation

Post-Training Ternarization of Qwen3-4B Capability, Effective Bit Budget, Storage Compression, and Deployment

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems

ManipulaTHOR: A Framework for Visual Object Manipulation

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning

Generating and designing DNA with deep generative models

Review of Deep Learning

Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC

Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

Reinforced Multi-Teacher Selection for Knowledge Distillation

Meta-Learning of Neural Architectures for Few-Shot Learning

Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication

Context-Aware Generative Adversarial Privacy

Interpretable and Accurate Fine-grained Recognition via Region Grouping

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs

Online Ensemble Learning for Imbalanced Data Streams

Towards Making the Most of BERT in Neural Machine Translation

Generalized Preference Optimization: A Unified Approach to Offline Alignment

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding

A Unified Perspective on Multi-Domain and Multi-Task Learning

Neural Temporal Point Processes: A Review

Support Topology and Gradient Mixing in Sinkhorn Layers