Dimpled Manifold Hypothesis

0:33:53

Cosyne 2020 Workshops - Sara Solla - Neural manifolds for the control of movement

2:10:32

Adversarial Machine Learning and Beyond - Philipp Benz and Chaoning Zhang

0:41:38

Paper Reading & Discussion: SSMBA: Self-Sup. Manifold Based Data Aug. for Improving OOD Robustness

0:56:57

Examining word-level adversarial examples for text classification - Maximilian Mozes, UCL

0:54:13

Bayes & Adversarial Examples: Phenomena and Frontiers (Matthew Wicker, Oxford)

0:17:54

Image-to-image translation with Conditional Adversarial Networks

0:14:59

Unsupervised Contrastive Learning Of Sound Event Representations

0:46:32

Deep Ensembles: A Loss Landscape Perspective (Paper Explained)

0:14:57

Donor Sports, Dance & Coordinating Degrees of Freedom

0:05:07

Look Closer To Supervise Better: One Shot Font Generation via Component Based | CVPR 2022

0:01:44

Adversarial Mask - Real-World Universal Adversarial Attack on Face Recognition Models

0:06:11

Wav2CLIP: Learning Robust Audio Representations From CLIP

5:49:34

The Voice on the Wire 📞 Mystery Unveiled 🔍 | Classic Detective Mysteries