ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.06646
  4. Cited By
NADS: Neural Architecture Distribution Search for Uncertainty Awareness

NADS: Neural Architecture Distribution Search for Uncertainty Awareness

11 June 2020
Randy Ardywibowo
Shahin Boluki
Xinyu Gong
Zhangyang Wang
Xiaoning Qian
    UQCV
ArXivPDFHTML

Papers citing "NADS: Neural Architecture Distribution Search for Uncertainty Awareness"

8 / 8 papers shown
Title
Unsupervised Domain Adaptation Architecture Search with Self-Training
  for Land Cover Mapping
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
Clifford Broni-Bediako
Junshi Xia
Naoto Yokoya
AI4CE
38
3
0
23 Apr 2024
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
44
17
0
15 Nov 2022
Inter-layer Transition in Neural Architecture Search
Inter-layer Transition in Neural Architecture Search
Benteng Ma
Jing Zhang
Yong-quan Xia
Dacheng Tao
39
4
0
30 Nov 2020
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation
Xinyu Gong
Wuyang Chen
Yi Ding
Ye Yuan
Xianming Liu
Qian Zhang
Yuan Li
Zhangyang Wang
33
20
0
16 Aug 2020
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Yijun Bian
Qingquan Song
Mengnan Du
Jun Yao
Huanhuan Chen
Xia Hu
24
14
0
01 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
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
1