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Deep Active Learning with a Neural Architecture Search

Deep Active Learning with a Neural Architecture Search

19 November 2018
Yonatan Geifman
Ran El-Yaniv
    AI4CE
ArXivPDFHTML

Papers citing "Deep Active Learning with a Neural Architecture Search"

8 / 8 papers shown
Title
Causal Discovery via Bayesian Optimization
Bao Duong
Sunil Gupta
Thin Nguyen
53
0
0
28 Jan 2025
High Dimensional Level Set Estimation with Bayesian Neural Network
High Dimensional Level Set Estimation with Bayesian Neural Network
Huong Ha
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
43
9
0
17 Dec 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
50
1,423
0
02 Aug 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman
Ran El-Yaniv
CVBM
OOD
24
305
0
26 Jan 2019
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
42
601
0
28 May 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
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
289
9,167
0
06 Jun 2015
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