Active Learning Helps Pretrained Models Learn the Intended Task

Active Learning Helps Pretrained Models Learn the Intended Task

18 April 2022

Salil Deshpande

Noah D. Goodman

Papers citing "Active Learning Helps Pretrained Models Learn the Intended Task"

18 / 18 papers shown

Title
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG Ayana Niwa Hayate Iso 36 4 0 27 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 45 1 0 13 Feb 2024
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 30 39 0 23 May 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
Task Ambiguity in Humans and Language Models Alex Tamkin Kunal Handa Ava Shrestha Noah D. Goodman UQLM 44 22 0 20 Dec 2022
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis Jiahao Lu Chong Yin Kenny Erleben M. B. Nielsen S. Darkner 24 1 0 28 Oct 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 33 65 0 18 Oct 2022
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 338 5,785 0 29 Apr 2021
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models Alex Tamkin Miles Brundage Jack Clark Deep Ganguli AILaw ELM 200 259 0 04 Feb 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 168 196 0 16 Oct 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018