Variational Information Bottleneck for Effective Low-Resource Fine-Tuning

10 June 2021

Papers citing "Variational Information Bottleneck for Effective Low-Resource Fine-Tuning"

8 / 8 papers shown

Title
Specializing Word Embeddings (for Parsing) by Information Bottleneck Xiang Lisa Li Jason Eisner 28 66 0 01 Oct 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 261 208 0 25 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 237 185 0 03 Sep 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 214 579 0 02 May 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 72 1,167 0 06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 280 4,444 0 18 Apr 2017
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 47 2,352 0 19 Nov 2015
Frustratingly Easy Domain Adaptation Hal Daumé 57 1,795 0 10 Jul 2009