Search Results for author: Dan Padnos

Found 3 papers, 0 papers with code

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

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

SenseBERT: Driving Some Sense into BERT

no code implementations ACL 2020 Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham

The ability to learn from large unlabeled corpora has allowed neural language models to advance the frontier in natural language understanding.

Language Modelling Natural Language Understanding +1

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