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Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning

Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning

13 April 2023
Xinyun Zhang
Lanqing Hong
    OODD
ArXivPDFHTML

Papers citing "Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning"

3 / 3 papers shown
Title
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
208
322
0
16 Jan 2021
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
167
24
0
20 Mar 2020
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
243
11,677
0
09 Mar 2017
1