Boosting classification reliability of NLP transformer models in the long run

20 February 2023

Papers citing "Boosting classification reliability of NLP transformer models in the long run"

9 / 9 papers shown

Title
Temporal Effects on Pre-trained Models for Language Processing Tasks Oshin Agarwal A. Nenkova VLM 88 57 0 24 Nov 2021
Time Waits for No One! Analysis and Challenges of Temporal Misalignment Kelvin Luu Daniel Khashabi Suchin Gururangan Karishma Mandyam Noah A. Smith 78 90 0 14 Nov 2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media Paul Röttger J. Pierrehumbert 68 67 0 16 Apr 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 212 1,222 0 02 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 177 1,433 0 14 Dec 2020
Neural Unsupervised Domain Adaptation in NLP---A Survey Alan Ramponi Barbara Plank OOD 97 259 0 31 May 2020
FinBERT: Financial Sentiment Analysis with Pre-trained Language Models Dogu Araci AIFin 115 645 0 27 Aug 2019
SciBERT: A Pretrained Language Model for Scientific Text Iz Beltagy Kyle Lo Arman Cohan 132 2,969 0 26 Mar 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 156 5,659 0 25 Jan 2019