1.7k citations · 2.1k across the 20 of their papers we have counts for
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cs.AI2016★ 66 cited
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju +4
Neural sequence models are widely used to model time-series data. Equally ubiquitous is the usage of beam search (BS) as an approximate inference algorithm to decode output sequenc…
cs.CV2016★ 30 cited
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee, Senthil Purushwalkam, Michael Cogswell +3
Many practical perception systems exist within larger processes that include interactions with users or additional components capable of evaluating the quality of predicted solutio…