1Detecting Overfit Layers without any Data (opens in new tab)(twitter.com)1charleshmartin4mo ago1Save
2Setol: SemiEmpirical Theory of (Deep) Learning (opens in new tab)(arxiv.org)arXiv6charleshmartin11mo ago3Save
3Setol: A SemiEmpirical of (Deep) Learning (opens in new tab)(overleaf.com)4charleshmartin1y ago1Save
4The Magic of Mistral, a Story of Dragon Kings (opens in new tab)(calculatedcontent.com)1charleshmartin2y ago0Save
5Evaluating Fine-Tuned LLMs with WeightWatcher (opens in new tab)(calculatedcontent.com)2charleshmartin2y ago0Save
6Deep Learning and Effective Correlation Spaces (opens in new tab)(calculatedcontent.com)1charleshmartin3y ago0Save
7Weightwatcher: Data-Free Diagnostics for Deep Learning (opens in new tab)(weightwatcher.ai)2charleshmartin3y ago1Save
8Better than BERT: Pick your best model (opens in new tab)(calculatedcontent.com)1charleshmartin3y ago0Save
9Predicting trends in the quality of state-of-the-art neural networks (opens in new tab)(nature.com)1charleshmartin4y ago0Save
10How to tell if you have trained your model with enough data (opens in new tab)(calculatedcontent.com)2charleshmartin4y ago2Save
11Predicting trends in the quality of state-of-the-art neural networks (opens in new tab)(nature.com)1charleshmartin4y ago0Save
13WeightWatcher: Empirical Quality Metrics for Deep Neural Networks (opens in new tab)(calculatedcontent.com)2charleshmartin6y ago0Save
14Towards a New Theory of Learning: Statistical Mechanics of Deep Neural Networks (opens in new tab)(calculatedcontent.com)5charleshmartin6y ago0Save
