On the Importance of Adaptive Data Collection for Extremely Imbalanced
Pairwise Tasks

On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks

10 October 2020

Stephen Mussmann

Robin Jia

Papers citing "On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks"

8 / 8 papers shown

Title
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 33 65 0 18 Oct 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 27 26 0 10 May 2022
Question Answering Infused Pre-training of General-Purpose Contextualized Representations Robin Jia M. Lewis Luke Zettlemoyer 18 28 0 15 Jun 2021
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations Arjit Jain Sunita Sarawagi Prithviraj Sen 22 24 0 08 Apr 2021
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 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