Speculating on How GPT-4 Changes Computer Vision
Frontiers Applications and Techniques for Fast Machine Learning in Science
T5: Text-to-Text Transformers (Part Two)
How to sample from language models, by Ben Mann
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification - ScienceDirect
Regularization techniques for training deep neural networks
How to Build an Open-Domain Question Answering System?
Unsupervised pre-training on a large dataset of cellular EM images - Announcements - Image.sc Forum
Pre-training, fine-tuning and in-context learning in Large Language Models (LLMs), by Kushal Shah
Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation - ScienceDirect
Does Pre-training Loss Linearly Predict Downstream Accuracy?