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From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds
Due to the more complicated population dynamics of the NSGA-II, none of the existing runtime guarantees for this algorithm is accompanied by a non-trivial lower bound.
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
Very recently, the first mathematical runtime analyses for the NSGA-II, the most common multi-objective evolutionary algorithm, have been conducted.
A First Runtime Analysis of the NSGA-II on a Multimodal Problem
Very recently, the first mathematical runtime analyses of the multi-objective evolutionary optimizer NSGA-II have been conducted.
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data
While multilingual pretrained language models (LMs) fine-tuned on a single language have shown substantial cross-lingual task transfer capabilities, there is still a wide performance gap in semantic parsing tasks when target language supervision is available.
From Audio to Semantics: Approaches to end-to-end spoken language understanding
Conventional spoken language understanding systems consist of two main components: an automatic speech recognition module that converts audio to a transcript, and a natural language understanding module that transforms the resulting text (or top N hypotheses) into a set of domains, intents, and arguments.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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