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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7,201 to 7,260 of 20,193

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
Jonas Pai, Liam Achenbach, Victoriano Montesinos +3
cs.ROcs.AIcs.CVarXiv:2512.15692v22025
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
Saaket Agashe, Kyle Wong, Vincent Tu +3
cs.AIcs.CLcs.CVarXiv:2504.00906v12025
Flood forecasting with machine learning models in an operational framework
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal +28
cs.LGarXiv:2111.02780v12021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta +22
cs.LGcs.AIcs.ARarXiv:2111.00364v22021
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
stat.MLcs.LGmath.STarXiv:2110.11216v62021
Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
Andros Tjandra, Yi-Chiao Wu, Baishan Guo +10
cs.SDcs.LGeess.ASarXiv:2502.05139v12025
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit, Huan Wang, Yingbo Zhou +1
cs.LGcs.CVarXiv:2110.10832v42021
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny, Matan Atzmon, Heli Ben-Hamu +4
cs.LGstat.MLarXiv:2110.03336v42021
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole +1
cs.LGstat.MLarXiv:2107.00630v62021
The Principles of Deep Learning Theory
Daniel A. Roberts, Sho Yaida, Boris Hanin
cs.LGcs.AIhep-tharXiv:2106.10165v22021
Laplace Redux -- Effortless Bayesian Deep Learning
Erik Daxberger, Agustinus Kristiadi, Alexander Immer +3
cs.LGstat.MLarXiv:2106.14806v32021
LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis +5
cs.CLcs.AIcs.LGarXiv:2106.09685v22021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
cs.LGcs.CVq-bio.QMarXiv:2105.13137v12021
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie, Ching-An Cheng, Nan Jiang +2
cs.LGcs.AIstat.MLarXiv:2106.06926v62021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe, Bettina Finzel
cs.LGcs.AIarXiv:2105.07190v42021
Neural population geometry: An approach for understanding biological and artificial neural networks
SueYeon Chung, L. F. Abbott
q-bio.NCcs.LGarXiv:2104.07059v32021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad, Banghua Zhu, Cong Ma +2
cs.LGcs.AImath.OCarXiv:2103.12021v22021
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
Abdul Waheed, Muskan Goyal, Deepak Gupta +3
eess.IVcs.CVcs.LGarXiv:2103.05094v12021
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian, Xinlei Chen, Surya Ganguli
cs.LGcs.AIcs.CVarXiv:2102.06810v42021
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw +11
quant-phcond-mat.stat-mechcs.AIarXiv:2101.08448v22021
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Chuning Zhu, Raymond Yu, Siyuan Feng +3
cs.ROcs.AIcs.LGarXiv:2504.02792v32025
Transformers without Normalization
Jiachen Zhu, Xinlei Chen, Kaiming He +2
cs.LGcs.AIcs.CLarXiv:2503.10622v22025
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus, Barret Zoph, Noam Shazeer
cs.LGcs.AIarXiv:2101.03961v32021
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn, Sonali Agarwal
eess.IVcs.CVcs.LGarXiv:2004.11676v52020
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes, Kunal Sharma, M. Cerezo +1
quant-phcs.LGstat.MLarXiv:2101.02138v22021
Logic Tensor Networks
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini +1
cs.AIcs.LGarXiv:2012.13635v42020
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng +4
cs.LGcs.AIcs.IRarXiv:2012.07436v32020
Deep Compressed Sensing
Yan Wu, Mihaela Rosca, Timothy Lillicrap
cs.LGeess.SPstat.MLarXiv:1905.06723v22019
SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models
Shiyu Li, Zi-Yuan Hu, Shijia Huang +3
cs.CVcs.AIcs.CLarXiv:2609.01004v12026
Deep Networks for Direction-of-Arrival Estimation in Low SNR
Georgios K. Papageorgiou, Mathini Sellathurai, Yonina C. Eldar
eess.SPcs.LGcs.SDarXiv:2011.08848v12020
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan, Jingtao Ding, Jie Feng +2
cs.LGarXiv:2402.11838v52024
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
Shaojin Wu, Mengqi Huang, Wenxu Wu +3
cs.CVcs.LGarXiv:2504.02160v12025
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang, Dacheng Tao
cs.AIcs.CVcs.LGarXiv:2011.08612v12020
U-Net and its variants for medical image segmentation: theory and applications
Nahian Siddique, Paheding Sidike, Colin Elkin +1
eess.IVcs.CVcs.LGarXiv:2011.01118v12020
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang, Zhun Deng, Kenji Kawaguchi +2
cs.LGstat.MLarXiv:2010.04819v42020
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté +3
cs.CLcs.AIcs.CVarXiv:2010.03768v22020
Projection-Based Constrained Policy Optimization
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan +1
cs.LGcs.AIcs.ROarXiv:2010.03152v12020
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe +1
cs.LGcs.AIstat.MLarXiv:2010.01179v22020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao, Yujing Wang, Juanyong Duan +7
cs.LGstat.MLarXiv:2009.02040v12020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen, Wei-Lun Chao
cs.LGstat.MLarXiv:2009.01974v42020
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin, Simon Leglaive, Xiaoyu Bie +3
cs.LGstat.MLarXiv:2008.12595v42020
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Zhenghai Xue, Longtao Zheng, Qian Liu +4
cs.LGarXiv:2509.02479v22025
Modelpedia: A Catalog of Model Findings for the Meta-Science of AI
Franciszek Bernat, Dawid Płudowski, Michał Jan Włodarczyk +6
cs.LGarXiv:2609.01090v22026
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt
Mohsen Shahhosseini, Guiping Hu, Sotirios V. Archontoulis +1
q-bio.QMcs.LGq-bio.PEarXiv:2008.04060v22020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song, Minseok Kim, Dongmin Park +2
cs.LGcs.CVstat.MLarXiv:2007.08199v72020
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt, Frank Schneider, Philipp Hennig
cs.LGstat.MLarXiv:2007.01547v62020
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi +14
cs.LGeess.SPstat.MLarXiv:2007.01276v32020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um, Robert Brand, Yun +3
physics.comp-phcs.LGarXiv:2007.00016v22020
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients
Irit Hochberg, Guy Feraru, Mark Kozdoba +3
cs.CYcs.LGarXiv:1605.04070v12016
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Florian Wenzel, Jasper Snoek, Dustin Tran +1
cs.LGstat.MLarXiv:2006.13570v32020
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz +1
stat.MLcs.LGmath.STarXiv:2006.13409v22020
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
Charvi Rastogi, Yunfeng Zhang, Dennis Wei +3
cs.HCcs.LGarXiv:2010.07938v22020
Sparse GPU Kernels for Deep Learning
Trevor Gale, Matei Zaharia, Cliff Young +1
cs.LGcs.DCstat.MLarXiv:2006.10901v22020
Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
eess.IVcs.LGstat.MLarXiv:2006.10027v22020
Dataset Condensation with Gradient Matching
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
cs.CVcs.LGarXiv:2006.05929v32020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial
cs.SIcs.LGstat.MLarXiv:2005.07496v22020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Marinka Zitnik +5
cs.LGcs.SIstat.MLarXiv:2005.00687v72020
Time Series Forecasting With Deep Learning: A Survey
Bryan Lim, Stefan Zohren
stat.MLcs.LGarXiv:2004.13408v22020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac +1
eess.SPcs.HCcs.LGarXiv:2004.08821v22020
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria +3
cs.CLcs.LGstat.MLarXiv:2004.03705v32020

Machine Learning

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Flood forecasting with machine learning models in an operational framework

Sustainable AI: Environmental Implications, Challenges and Opportunities

User-friendly introduction to PAC-Bayes bounds

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Frame Averaging for Invariant and Equivariant Network Design

Variational Diffusion Models

The Principles of Deep Learning Theory

Laplace Redux -- Effortless Bayesian Deep Learning

LoRA: Low-Rank Adaptation of Large Language Models

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

Bellman-consistent Pessimism for Offline Reinforcement Learning

A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts

Neural population geometry: An approach for understanding biological and artificial neural networks

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

Understanding self-supervised Learning Dynamics without Contrastive Pairs

Noisy intermediate-scale quantum (NISQ) algorithms

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Transformers without Normalization

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

Connecting ansatz expressibility to gradient magnitudes and barren plateaus

Logic Tensor Networks

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Deep Compressed Sensing

SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models

Deep Networks for Direction-of-Arrival Estimation in Low SNR

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

U-Net and its variants for medical image segmentation: theory and applications

How Does Mixup Help With Robustness and Generalization?

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Projection-Based Constrained Policy Optimization

The Surprising Power of Graph Neural Networks with Random Node Initialization

Multivariate Time-series Anomaly Detection via Graph Attention Network

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning

Dynamical Variational Autoencoders: A Comprehensive Review

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Modelpedia: A Catalog of Model Findings for the Meta-Science of AI

Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt

Learning from Noisy Labels with Deep Neural Networks: A Survey

Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients

Hyperparameter Ensembles for Robustness and Uncertainty Quantification

When Do Neural Networks Outperform Kernel Methods?

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

Sparse GPU Kernels for Deep Learning

Deep Learning Meets SAR

Dataset Condensation with Gradient Matching

Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Time Series Forecasting With Deep Learning: A Survey

Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey

Deep Learning Based Text Classification: A Comprehensive Review