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Henry AI Labs
AlphaFold2 - Quick Thoughts on 3D Spatial Graphs and Graph Neural Networks
AlphaFold2! (Quick Explanation of Spatial Graphs for 3D data)
AI Weekly Update - November 30th, 2020 (#22)
Exploring Simple Siamese Representation Learning
Self-Training improves Pre-Training for Natural Language Understanding
Small Language Models Are Also Few-Shot Learners
Retrieval-Augmented Generation (RAG)
Well-Read Students Learn Better
Easy Data Augmentation for Text Classification
Contrastive Learning for Unpaired Image-to-Image Translation
Data Augmentation using Pre-trained Transformer Models
Momentum Predictive Representations Explained!
Distribution Augmentation for Generative Modeling
Contrastive Clustering with SwAV
Don't Stop Pretraining!
CheckList Explained! (ACL 2020 Best Paper)
Rethinking Pre-training and Self-Training
ImageGPT (Generative Pre-training from Pixels)
Training GANs with Limited Data
On the Measure of Intelligence (Introduction)
Funnel Transformer Explained!
Pattern-Exploiting Training for NLP!
AI Weekly Update - May 26th, 2020 (#22)