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Qualitatively characterizing neural network optimization problems
Paper • 1412.6544 • Published • 4 -
Convergent Learning: Do different neural networks learn the same representations?
Paper • 1511.07543 • Published • 2 -
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Paper • 1909.11299 • Published • 1 -
Model Fusion via Optimal Transport
Paper • 1910.05653 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2403.13187
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 67 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 149 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 61
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Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 49 -
Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 10 -
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Paper • 2405.01535 • Published • 113