6 citations · 11 across the 2 of their papers we have counts for
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cs.CL2021★ 6 cited
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation
Dan Iter, David Grangier
Domain adaptation of neural networks commonly relies on three training phases: pretraining, selected data training and then fine tuning. Data selection improves target domain gener…
cs.CL2020★ 5 cited
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter, Kelvin Guu, Larry Lansing +1
Recent models for unsupervised representation learning of text have employed a number of techniques to improve contextual word representations but have put little focus on discours…