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Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
Manage episode 478140283 series 3524393
The paper presents a method to accelerate "grokking" in neural networks by using learned embeddings from a weaker model, enabling direct generalization without delay across various tasks.
https://arxiv.org/abs//2504.13292
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
2237 episodes
Manage episode 478140283 series 3524393
The paper presents a method to accelerate "grokking" in neural networks by using learned embeddings from a weaker model, enabling direct generalization without delay across various tasks.
https://arxiv.org/abs//2504.13292
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
2237 episodes
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