Jun 14, 2021 · Determinantal beam search has a natural relationship to determinantal point processes (DPPs), models over sets that inherently encode intra-set ...
Determinantal beam search has a natural relationship to determinantal point processes (DPPs), models over sets that inherently encode intra-set interactions. By ...
Aug 1, 2021 · We derive determinantal beam search, a novel generalization of beam search that casts subset selection as the subdeterminant optimization.
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Beam search is a go-to strategy for decoding neural sequence models. The algorithm can naturally be viewed as a subset optimization.
Determinantal beam search is proposed, a reformulation of beam search that offers competitive performance against other diverse set generation strategies in ...
Request PDF | On Jan 1, 2021, Clara Meister and others published Determinantal Beam Search | Find, read and cite all the research you need on ResearchGate.
Beam search is the default decoding strategy for many sequence generation tasks in NLP. The set of approximate K-best items returned.
Determinantal point processes (DPPs) are a technique for sampling that aims to sample a diverse subset of points from a set. We hypothesize that using DPPs for ...
Duration: 11:53
Posted: Sep 27, 2021
Posted: Sep 27, 2021
Mar 1, 2023 · Beam search is the default decoding strategy for many sequence generation tasks in NLP. The set of approximate K-best items returned.