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Deep Active Learning for Text Classification with Diverse
  Interpretations

Deep Active Learning for Text Classification with Diverse Interpretations

15 August 2021
Qiang Liu
Yanqiao Zhu
Zhaocheng Liu
Yufeng Zhang
Shu Wu
    AI4CE
ArXivPDFHTML

Papers citing "Deep Active Learning for Text Classification with Diverse Interpretations"

5 / 5 papers shown
Title
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling
Boyang Li
Zhiling Lan
M. Papka
OffRL
23
0
0
24 Mar 2024
Are Good Explainers Secretly Human-in-the-Loop Active Learners?
Are Good Explainers Secretly Human-in-the-Loop Active Learners?
Emma Nguyen
Abhishek Ghose
9
1
0
24 Jun 2023
TrustAL: Trustworthy Active Learning using Knowledge Distillation
TrustAL: Trustworthy Active Learning using Knowledge Distillation
Beong-woo Kwak
Youngwook Kim
Yu Jin Kim
Seung-won Hwang
Jinyoung Yeo
8
7
0
26 Jan 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1