The Problem With Perfectionism
We aim for perfection without a correct idea of what perfection might demand from us. To strengthen our resolve, we need to improve our picture of what sacrifices any achievement will demand. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/p8kdj3 Join ou
From playlist SELF
To have sound levels of self-esteem is one of the gateways to happiness. But achieving this has very little to do with the progress of our careers. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/1Uj9JM Watch more films on SELF: http://bit.ly/TSOLself P
From playlist SELF
Why There Will Never Be A World Without Stereotypes
Stereotyping, no matter how small or insignificant, can lead to prejudice and discrimination. But is it possible to avoid stereotyping?
From playlist Stereotypes: The Good, The Bad, & The Truthful
We are – almost all of us – deeply attracted to the idea of being normal. But what if our idea of ‘normal’ isn’t normal? A plea for a broader definition of an important term. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/ojRR53 Join our mailing list: h
From playlist SELF
We’re used to thinking about love as a kind of admiration for perfection. But there’s another side to what love should mean: tolerance for, and imagination about, the less than perfect sides of others. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/dDUm
From playlist RELATIONSHIPS
We miss out on the finest opportunities of our lives because of an underlying terror of a very short word. We should overcome the fear. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/bfFWId Join our mailing list: http://bit.ly/2e0TQNJ Or visit us in p
From playlist SELF
Our societies are really good at rewarding success; but much less skilled at dealing with failure. Is there an alternative to being dismissed as a 'loser'? Please subscribe here: http://tinyurl.com/o28mut7 If you like our films take a look at our shop (we ship worldwide): http://www.thesch
From playlist SELF
No one is ever quite normal or sane: however, what we can aim for is 'sane insanity', a non-defensive, self-aware state where we know how and where we are 'broken' and are able to let the world know without anger, undue secrecy or bitterness. For gifts and more from The School of Life, vis
From playlist SELF
Is It Better to Be Polite or Frank?
We live in an age that thinks highly of frankness and directness. But there are – nevertheless – a few reasons why politeness remains a hugely important quality. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/hMBQQs FURTHER READING “For most of hu
From playlist RELATIONSHIPS
Tom Goldstein: "What do neural loss surfaces look like?"
New Deep Learning Techniques 2018 "What do neural loss surfaces look like?" Tom Goldstein, University of Maryland Abstract: Neural network training relies on our ability to find “good” minimizers of highly non-convex loss functions. It is well known that certain network architecture desi
From playlist New Deep Learning Techniques 2018
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction... - Jeffrey Negrea
Seminar on Theoretical Machine Learning Topic: Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice Speaker: Jeffrey Negrea Affiliation: University of Toronto Date: July 14, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Gradient Origin Networks (Paper Explained w/ Live Coding)
Neural networks for implicit representations, such as SIRENs, have been very successful at modeling natural signals. However, in the classical approach, each data point requires its own neural network to be fit. This paper extends implicit representations to an entire dataset by introducin
From playlist Papers Explained
When Vision Transformers Outperform ResNets without Pretraining | Paper Explained
❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentation paper explained. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ✅ Paper: https://arxiv.org/abs/2106.01548 ✅ LinkedI
From playlist Computer Vision
Aydogan Ozcan - Diffractive Optical Networks & Computational Imaging Without a Computer
Recorded 14 October 2022. Aydogan Ozcan of the University of California, Los Angeles, presents "Diffractive Optical Networks & Computational Imaging Without a Computer" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: I will discuss diffractive optical networks design
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Alexander Figotin : Overdamping in gyroscopic systems composed of high-loss and lossless components
Abstract: Using a Lagrangian framework, we study overdamping phenomena in gyroscopic systems composed of two components, one of which is highly lossy and the other is lossless. The losses are accounted for by a Rayleigh dissipative function. We prove that selective overdamping is a generic
From playlist Mathematical Physics
Introduction to the Conditional GAN - A General Framework for Pixel2Pixel Translation
5-min ML Paper Challenge Presenter: https://www.linkedin.com/in/pearl-su-248423a2/ Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/pdf/1611.07004.pdf We investigate conditional adversarial networks as a general-purpose solution to image-to-image transla
From playlist AISC - 5-min Papers
QRM L1-1: The Definition of Risk
Welcome to Quantitative Risk Management (QRM). In this first class, we define what risk if for us. We will discuss the basic characteristics of risk, underlining some important facts, like its subjectivity, and the impossibility of separating payoffs and probabilities. Understanding the d
From playlist Quantitative Risk Management
Laser Fundamentals I | MIT Understanding Lasers and Fiberoptics
Laser Fundamentals I Instructor: Shaoul Ezekiel View the complete course: http://ocw.mit.edu/RES-6-005S08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Understanding Lasers and Fiberoptics
Our desire to build good and lasting friendships is often undermined by a lack of focus on what friendship should really be about. Getting clear about what friendship is for isn’t cynical; it provides the foundation for genuine bonds. If you like our films, take a look at our shop (we shi
From playlist RELATIONSHIPS
Tom Goldstein: "An empirical look at generalization in neural nets"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "An empirical look at generalization in neural nets" Tom Goldstein - University of Maryland Abstract: Generalization in neural nets is a mysterious phenomenon that has been studied
From playlist High Dimensional Hamilton-Jacobi PDEs 2020