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Mean Embeddings with Test-Time Data Augmentation for Ensembling of
  Representations

Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations

15 June 2021
Arsenii Ashukha
Andrei Atanov
Dmitry Vetrov
    OOD
    FedML
ArXivPDFHTML

Papers citing "Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations"

7 / 7 papers shown
Title
Improving Black-box Robustness with In-Context Rewriting
Improving Black-box Robustness with In-Context Rewriting
Kyle O'Brien
Nathan Ng
Isha Puri
Jorge Mendez
Hamid Palangi
Yoon Kim
Marzyeh Ghassemi
Tom Hartvigsen
41
6
0
13 Feb 2024
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
24
9
0
19 Jul 2023
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
22
5
0
09 Dec 2022
Synergy with Translation Artifacts for Training and Inference in
  Multilingual Tasks
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks
Jaehoon Oh
Jongwoo Ko
Se-Young Yun
29
8
0
18 Oct 2022
Continual Learning with Foundation Models: An Empirical Study of Latent
  Replay
Continual Learning with Foundation Models: An Empirical Study of Latent Replay
O. Ostapenko
Timothée Lesort
P. Rodríguez
Md Rifat Arefin
Arthur Douillard
Irina Rish
Laurent Charlin
18
49
0
30 Apr 2022
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
51
22
0
19 Oct 2020
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
268
5,635
0
05 Dec 2016
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