[ML News] New ImageNet SOTA | Uber’s H3 hexagonal coordinate system | New text-image-pair dataset
#truthfulqa #efficientnet #laion400M
Your regularly irregular updates on what’s happening in the Machine Learning world.
OUTLINE:
0:00 - Intro
0:20 - TruthfulQA benchmark shines new light on GPT-3
2:00 - LAION-400M image-text-pair dataset
4:10 - GoogleAI’s EfficientNetV2 and CoAtNet
6:15 - Uber’s H3: A hexagonal coordinate system
7:40 - AWS NeurIPS 2021 DeepRacer Challenge
8:15 - Helpful Libraries
9:20 - State of PyTorch in September 2021
10:05 - Physics-Based Deep Learning Book
10:35 - Music-conditioned 3D dance generation
11:40 - Stallman’s take on legal issues with Codex
12:20 - Tensorflow DirectML on AMD GPUs
13:00 - Schmidhuber Blog: Turing Oversold
ERRATA:
Uber’s H3 is actually not new, but from 2018
References:
TruthfulQA - A benchmark assessing truthfulness of language models
LAION-400M image-text-pair dataset