Browsing: Yannic Kilcher
Proteins are the workhorses of almost all cellular functions and a core component of life. But despite their versatility, all…
In this part, we look at the ARC challenge as a proposed test of machine intelligence. The dataset features 1000…
#ai #attention #transformer #deeplearning Transformers are famous for two things: Their superior performance and their insane requirements of compute and…
#machinelearning #ai #google The high-level architecture of CNNs has not really changed over the years. We tend to build high-resolution…
I share my progress of implementing a research idea from scratch. I attempt to build an ensemble model out of…
Supermasks are binary masks of a randomly initialized neural network that result in the masked network performing well on a…
I take a closer look at “Supermasks in Superposition” after I’ve already done a video on it. Specifically, I look…
VAEs have been traditionally hard to train at high resolutions and unstable when going deep with many layers. In addition,…
Neural networks for implicit representations, such as SIRENs, have been very successful at modeling natural signals. However, in the classical…
#ai #research #optimization Deep Ensembles work surprisingly well for improving the generalization capabilities of deep neural networks. Surprisingly, they outperform…