Browsing: Yannic Kilcher
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
#dreamcoder #programsynthesis #symbolicreasoning Classic Machine Learning struggles with few-shot generalization for tasks where humans can easily generalize from just a…
#minecraft #neuralnetwork #backpropagation I built an analog neural network in vanilla Minecraft without any mods or command blocks. The network…
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)
#nerf #neuralrendering #deeplearning View Synthesis is a tricky problem, especially when only given a sparse set of images as an…
#gpt3 #airecipe #cooking We went to the store and bought a set of completely random ingredients and had OpenAI’s GPT-3…
On the Biology of a Large Language Model (Part 2) Source link
#aiwinter #agi #embodiedcognition The AI community has gone through regular cycles of AI Springs, where rapid progress gave rise to…
#dino #facebook #selfsupervised Self-Supervised Learning is the final frontier in Representation Learning: Getting useful features without any labels. Facebook AI’s…
#machinelearning #ai #phd Done with my PhD in Machine Learning at ETH Zurich. On to new lands! Links: TabNine Code…
#mixer #google #imagenet Convolutional Neural Networks have dominated computer vision for nearly 10 years, and that might finally come to…
Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)
#involution #computervision #attention Convolutional Neural Networks (CNNs) have dominated computer vision for almost a decade by applying two fundamental principles:…