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Peter Norvig

2 accepted papers

2026

Position: There are futures that benchmark-driven AI cannot see

ICML 2026oral

Breakthroughs often come from ideas we could not have predicted in advance. In biology, this is called exaptation: traits evolved for one function become decisive for another. Scientific progress works similarly, but only if ideas survive periods when they appear uncompetitive by current metrics. Th…

Cited by 0SourceScholar
2017

Deep Learning with Dynamic Computation Graphs

ICLR 2017poster

Neural networks that compute over graph structures are a natural fit for problems in a variety of domains, including natural language (parse trees) and cheminformatics (molecular graphs). However, since the computation graph has a different shape and size for every input, such networks do not direct…

Cited by 172SourcecodeScholar