AI Research
AutoAssumption: Searching over Assumptions Discovers ML-Systems Algorithms
The research frames algorithm discovery as a search for assumptions to challenge.
Many advances in ML systems came from breaking an assumption that earlier methods took for granted: speculative decoding dropped the assumption that a model needs one forward pass per token.
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ArXiv CS.AI
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2 min
ArXiv CS.AI
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Questioning assumptions built into existing methods can reveal new ways to improve machine-learning systems. Automating the search could help researchers discover algorithms by testing which assumptions can be relaxed.
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