Search Results for author: Dan Padnos

Found 3 papers, 0 papers with code

Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation

no code implementations30 Jun 2020 Yoel Zeldes, Dan Padnos, Or Sharir, Barak Peleg

We introduce a simple and efficient method, called Auxiliary Tuning, for adapting a pre-trained Language Model to a novel task; we demonstrate this approach on the task of conditional text generation.

Conditional Text Generation Language Modelling

Exemplar Guided Active Learning

no code implementations NeurIPS 2020 Jason Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz

The challenge is that we are not informed which labels are common and which are rare, and the true label distribution may exhibit extreme skew.

Active Learning Word Sense Disambiguation

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