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Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided
  Mixture Density Networks

Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks

16 May 2018
Sungjoon Choi
Sanghoon Hong
Kyungjae Lee
Sungbin Lim
    OOD
ArXivPDFHTML

Papers citing "Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks"

4 / 4 papers shown
Title
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for
  Robotic Assistants
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants
Jeongeun Park
Taerim Yoon
Jejoon Hong
Youngjae Yu
Matthew K. X. J. Pan
Sungjoon Choi
38
13
0
19 Sep 2022
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern
  Estimation
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation
Jeongeun Park
Seungyoung Shin
Sangheum Hwang
Sungjoon Choi
15
5
0
02 Nov 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti
Mahdi S. Hosseini
FedML
16
75
0
23 Oct 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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