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Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time
  Adaptation in Prostate Cancer Detection

Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection

17 July 2024
Mahdi Gilany
Mohamed Harmanani
P. Wilson
Minh-Son To
A. Jamzad
Fahimeh Fooladgar
Brian Wodlinger
Purang Abolmaesumi
Parvin Mousavi
    OOD
ArXivPDFHTML

Papers citing "Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection"

12 / 12 papers shown
Title
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer
  Detection in High Frequency Ultrasound
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
P. Wilson
Mahdi Gilany
A. Jamzad
Fahimeh Fooladgar
Minh-Son To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
53
12
0
01 Nov 2022
Towards Confident Detection of Prostate Cancer using High Resolution
  Micro-ultrasound
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound
Mahdi Gilany
P. Wilson
A. Jamzad
Fahimeh Fooladgar
Minh-Son To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
30
11
0
21 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
78
333
0
06 Apr 2022
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTA
OOD
65
82
0
30 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
172
1,428
0
14 Dec 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
363
6,797
0
13 Jun 2020
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
95
1,241
0
20 Nov 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
164
1,691
0
06 Jun 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OOD
VLM
34
487
0
16 Jan 2019
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
228
3,654
0
22 Mar 2018
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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