Automatic Rule Induction for Interpretable Semi-Supervised Learning

18 May 2022

Papers citing "Automatic Rule Induction for Interpretable Semi-Supervised Learning"

6 / 6 papers shown

Title
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 22 7 0 30 Aug 2022
RuleBert: Teaching Soft Rules to Pre-trained Language Models Mohammed Saeed N. Ahmadi Preslav Nakov Paolo Papotti LRM 245 31 0 24 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning Tu Vu Minh-Thang Luong Quoc V. Le Grady Simon Mohit Iyyer 115 60 0 13 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020