On the Role of Neural Collapse in Few-Shot Transfer Learning Published 2023-08-29 Download video MP4 360p Download video MP4 720p Recommendations 1:01:32 Introduction to Deep Learning Theory 59:01 The Assembly Hypothesis:Emergent Computation and Learning in a rigorous model of the Brain 56:26 Dense Associative Memory in Machine Learning 1:27:21 CBMM10 Panel: Research on Intelligence in the Age of AI 59:06 Navigating Progress in AI and Neuroscience 1:26:35 CBMM10 Panel: Neuroscience to AI and back again 06:14 Programming Languages I used at Google (C++ rant) 47:22 Statistical learning in human sensorimotor control 1:41:17 CBMM10 Panel: Language and Thought 55:42 Spiking Neural Networks for More Efficient AI Algorithms 04:57 A ubiquitous spectrolaminar motif of local field potential power across the primate cortex 56:14 The Simplest Neural Model and a Hypothesis for Language 26:05 Defiance in Germany: Can mass protests stop the far right? | To The Point 20:47 CBMM after 10 years — the Quest now (James DiCarlo) 09:18 Mindgames 1:26:19 CBMM10 Panel: Interacting with the physical world 13:03 Seeds of discontent: Why European farmers are taking their anger to the streets • FRANCE 24 English 1:05:58 CBMM10: CBMM after 10 years — the Quest now 14:04 Battery Energy Revolution. What now? 33:48 How a US response to Iran could trigger an international war in Middle East | Prof. Fawaz Gerges Similar videos 35:52 Adam Gonczarek, Szymon Zaręba - Few-shot, semi-supervised and transfer learning for NLP 1:02:35 Towards Understanding Deep Classifiers through Neural Collapse 56:33 Cross Transformers: spatially aware few shot transfer 18:23 Intermediate Neural Collapse and Generalization - Ido Ben-Shaul - DeepMath 2022 30:08 Deep Learning Pacmann - Zero-Shot Learning Using Neural Networks Models 12:18 Fixing SimCLRs Main Problem - BYOL Paper Explained 01:01 Adversarial Feature Hallucination Networks for Few-Shot Learning 1:19:52 Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 3 22:18 [Few-shot learning][2.2] Prototypical Networks: intuition, algorithm, pytorch code 48:19 Yoshua Bengio | Meta-transfer Learning | ICLR 2019 1:18:47 Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 2 01:00 LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Imag... 57:59 Yaoyao Liu - Learning from Imperfect Data: Incremental Learning and Few-shot Learning 36:32 'Less Than One'-Shot Learning (author speaking) 19:57 Neural Voice Cloning 18:43 Transfer Learning Mobilenet V2 - Large Fish Project 1:15:41 Stanford CS330 Deep Multi-Task & Meta Learning - Domain Adaptation l 2022 I Lecture 13 15:46 Introduction to large language models 35:50 Few-shot and Zero-shot Learning - Part 02 More results