Видео ютуба по тегу Algorithm Robustness

PLS SEM 6 Robustness test, linearity, endogeneity, unobserved heterogeneity
PLS SEM 6 Robustness test, linearity, endogeneity, unobserved heterogeneity
Robustness and Strategic Concerns in Machine Learning - Yu Cheng
Robustness and Strategic Concerns in Machine Learning - Yu Cheng
Accuracy-stability paradox and the boundaries of verifiable accuracy, robustness & generalisation
Accuracy-stability paradox and the boundaries of verifiable accuracy, robustness & generalisation
[CVPR2024] One Prompt Word is Enough to Boost Adversarial Robustness for Vision-Language Models
[CVPR2024] One Prompt Word is Enough to Boost Adversarial Robustness for Vision-Language Models
𝐀𝐈 𝐏𝐄𝐍𝐓𝐄𝐒𝐓𝐈𝐍𝐆 - 𝐀𝐑𝐓 (𝐀𝐝𝐯𝐞𝐫𝐬𝐚𝐫𝐢𝐚𝐥 𝐑𝐨𝐛𝐮𝐬𝐭𝐧𝐞𝐬𝐬 𝐓𝐨𝐨𝐥𝐛𝐨𝐱) 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧
𝐀𝐈 𝐏𝐄𝐍𝐓𝐄𝐒𝐓𝐈𝐍𝐆 - 𝐀𝐑𝐓 (𝐀𝐝𝐯𝐞𝐫𝐬𝐚𝐫𝐢𝐚𝐥 𝐑𝐨𝐛𝐮𝐬𝐭𝐧𝐞𝐬𝐬 𝐓𝐨𝐨𝐥𝐛𝐨𝐱) 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧
Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks
Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks
Dr. Jun Yang | Stereographic Barker's MCMC Proposal: Efficiency and Robustness at Your Disposal
Dr. Jun Yang | Stereographic Barker's MCMC Proposal: Efficiency and Robustness at Your Disposal
Improving Robustness Of Autonomous Spacecraft Scheduling Using Curriculum Learning
Improving Robustness Of Autonomous Spacecraft Scheduling Using Curriculum Learning
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients
Melvyn Sim - The Occam's Razor of Robustness (ROW talk)
Melvyn Sim - The Occam's Razor of Robustness (ROW talk)
1-Lipschitz Layers Compared: Memory, Speed and Certifiable Robustness
1-Lipschitz Layers Compared: Memory, Speed and Certifiable Robustness
Worst-Case Robustness in Machine Learning
Worst-Case Robustness in Machine Learning
Improving the Affordability of Robustness Training for DNNs
Improving the Affordability of Robustness Training for DNNs
On Adversarial Bias and the Robustness of Fair Machine Learning by Hongyan Chang
On Adversarial Bias and the Robustness of Fair Machine Learning by Hongyan Chang
[ECCV22 - Oral] OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts
[ECCV22 - Oral] OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts
1371 - Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
1371 - Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
Invited Talk 7: Cho-Jui Hsieh - Adversarial Robustness of Discrete Machine Learning Models
Invited Talk 7: Cho-Jui Hsieh - Adversarial Robustness of Discrete Machine Learning Models
Epucks running topological algorithms: robustness
Epucks running topological algorithms: robustness
Certification of Model Robustness in Active Class Selection
Certification of Model Robustness in Active Class Selection
Jingfeng Zhang (RIKEN-AIP): “Applications of Adversarial robustness”
Jingfeng Zhang (RIKEN-AIP): “Applications of Adversarial robustness”
USENIX Security '25 — SoK: Эффективность и надежность динамических систем глубокого обучения
USENIX Security '25 — SoK: Эффективность и надежность динамических систем глубокого обучения
Robustness of Graph Neural Networks
Robustness of Graph Neural Networks
Invariance, Causality and Novel Robustness
Invariance, Causality and Novel Robustness
Sebastien Bubeck - A law of robustness for two-layers neural networks
Sebastien Bubeck - A law of robustness for two-layers neural networks
Evaluating the Robustness of ML Models
Evaluating the Robustness of ML Models