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charleshmartin

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  1. Detecting Overfit Layers without any Data (twitter.com)
    1 points 1
  2. Setol: SemiEmpirical Theory of (Deep) Learning (arxiv.org)
    6 points 3
  3. Setol: A SemiEmpirical of (Deep) Learning (overleaf.com)
    4 points 1
  4. The Magic of Mistral, a Story of Dragon Kings (calculatedcontent.com)
    1 points 0
  5. Evaluating Fine-Tuned LLMs with WeightWatcher (calculatedcontent.com)
    2 points 0
  6. Deep Learning and Effective Correlation Spaces (calculatedcontent.com)
    1 points 0
  7. Weightwatcher: Data-Free Diagnostics for Deep Learning (weightwatcher.ai)
    2 points 1
  8. Better than BERT: Pick your best model (calculatedcontent.com)
    1 points 0
  9. Predicting trends in the quality of state-of-the-art neural networks (nature.com)
    1 points 0
  10. How to tell if you have trained your model with enough data (calculatedcontent.com)
    2 points 2
  11. Predicting trends in the quality of state-of-the-art neural networks (nature.com)
    1 points 0
  12. Is Your Model Overtrained? (calculatedcontent.com)
    2 points 1
  13. WeightWatcher: Empirical Quality Metrics for Deep Neural Networks (calculatedcontent.com)
    2 points 0
  14. Towards a New Theory of Learning: Statistical Mechanics of Deep Neural Networks (calculatedcontent.com)
    5 points 0