AI and Machine Learning Explained
Why Is AI Model Robustness Crucial For ML Engineers? - AI and Machine Learning Explained
C3 Digital Transformation Institute
Bo Li: Trustworthy Machine Learning: Robustness, Privacy, Generalization, and their Interconnections
Association for Computing Machinery (ACM)
KDD 2025 - Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
C3 Digital Transformation Institute
Pin-Yu Chen: AI Model Inspector: Towards Holistic Adversarial Robustness for Deep Learning
NTU College of Computing and Data Science (CCDS)
29 Guo Wanyao - Improving Model Robustness with Adversarial Regularization for Image Classification
Digital Futures: Research Hub for Digitalization
Mark Cannon - Adaptive Model Predictive Control: Robustness, Performance Enhancement & Param. Estim.
Learning with Limited and Imperfect Data
Contrastive Learning Improves Model Robustness Under Label Noise
ASN BV — Real-Time Edge Intelligence
How do we improve the accuracy and robustness of our ML model for our AIoT application?
DOST-Advanced Science and Technology Institute
Enhancing the Robustness of Speech Foundation Models Thru Adaptation on Large-Scale Diverse Speech
Webinar: Numerical Models for the Robustness Assessment of Reinforced Concrete Structures with DIANA
ComputerVisionFoundation Videos
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
Simons Institute for the Theory of Computing
Semi-Random Models and Robustness in Unsupervised Learning
One world theoretical machine learning
Aditi Raghunathan - Tradeoffs between Robustness and Accuracy
John Snow Labs – Healthcare AI Company
Automated Bias, Robustness, and Data Quality Testing for NLP Model"
ComputerVisionFoundation Videos
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness