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One Representation to Rule Them All: Identifying Out-of-Support Examples
  in Few-shot Learning with Generic Representations

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations

2 June 2021
Henry Kvinge
Scott Howland
Nico Courts
Lauren A. Phillips
John Buckheit
Zach New
Elliott Skomski
J. H. Lee
Sandeep Tiwari
J. Hibler
Court D. Corley
Nathan Oken Hodas
    OODD
    OOD
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Papers citing "One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations"

2 / 2 papers shown
Title
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
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
276
5,661
0
05 Dec 2016
1