Robust Learning by Double Over-Parameterization Published 2022-09-22 Download video MP4 360p Download video MP4 720p Recommendations 1:09:28 Principles of Deep Representation Learning via Neural Collapse 17:34 Neural Networks Pt. 2: Backpropagation Main Ideas 20:28 Watch how a Pro develops AI Agents in real-time 2:06:38 This is why Deep Learning is really weird. 1:15:58 Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36 15:05 Variational Autoencoders 1:14:40 Lecture 3 | Loss Functions and Optimization 3:49:41 An Introductory QGIS Workshop for Beginners 59:00 An Introduction to Graph Neural Networks: Models and Applications 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 1:21:47 Sparsity for Efficient Long Sequence Generation of LLMs 49:30 Liquid Neural Networks 18:56 prof. Andrzej Dragan - "Czym czas różni się od przestrzeni?" 1:06:11 Rethinking the Theoretical Foundation of Reinforcement Learning 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 57:21 Koniec epoki matematyki? [DEBATA] | prof. A. Dragan & prof. D. Kielak 1:12:23 Transformers as Support Vector Machines 3:59:43 Building a Realtime Video and Chat App in React Native with Stream 2:46:55 Does Consciousness Extend Beyond Brains? The 2023 Holberg Debate, feat. Seth, Luhrmann, Sheldrake. 11:17 But what is a neural network REALLY? Similar videos 01:08 Deep Double Descent and Overparameterization: Classical Machine Learning vs. Modern Deep Learning 11:12 Statistical Learning: 10.7 Interpolation and Double Descent 55:21 Overparameterization Improves Robustness to Covariate Shift in High Dimensions - Ben Adlam 43:47 Towards demystifying over-parameterization in deep (...) - Soltanolkotabi - Workshop 3 - CEB T1 2019 15:45 Understanding Gradient Descent for Over-parameterized Deep Neural Networks 09:59 Deep Double Descent 43:28 Wasserstein Robust RL 52:12 Mikhail Belkin: "Optimization for over-parameterized systems of non-linear equations" 01:12 A Robust Parameterization of Human Gait Patterns Across Phase-Shifting Perturbations 15:02 [ICML 2020] Empirical Study: the Benefits of Overparameterization in Learning Latent Variable Models 56:31 DSI | A Universal Law of Robustness via Isoperimetry by Mark Sellke 57:00 Eric Tchetgen Tchetgen: Selective Machine Learning of Doubly Robust Functionals 27:40 Confounding-Robust Policy Evaluation In Infinite-Horizon Reinforcement Learning 1:03:57 Nadav Cohen: On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization 43:47 Adit Radhakrishnan - Over-parameterized Autoencoders with Applications in Genomics 1:00:23 Aditi Raghunathan - Surprises in the quest for robustness in ML 28:59 Rong Ge: "Beyond Lazy Training for Over-parameterized Tensor Decomposition" 1:23:14 Interpolation in learning: steps towards understanding when overparameterization… - Anant Sahai 02:44 5 must-know 3D printing tips & tricks. (stronger and better looking prints) More results