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Neural Fine-Tuning Search for Few-Shot Learning

Neural Fine-Tuning Search for Few-Shot Learning

15 June 2023
Panagiotis Eustratiadis
L. Dudziak
Da Li
Timothy M. Hospedales
ArXivPDFHTML

Papers citing "Neural Fine-Tuning Search for Few-Shot Learning"

6 / 6 papers shown
Title
Unleashing the Power of Meta-tuning for Few-shot Generalization Through
  Sparse Interpolated Experts
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
32
1
0
13 Mar 2024
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
292
5,761
0
29 Apr 2021
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons
Parham Noorzad
Andrii Skliar
G. Mariani
Dushyant Mehta
Chris Lott
Tijmen Blankevoort
137
43
0
16 Dec 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
328
0
22 Jul 2020
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
164
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
11,659
0
09 Mar 2017
1