ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.07200
  4. Cited By
A Broader Study of Cross-Domain Few-Shot Learning

A Broader Study of Cross-Domain Few-Shot Learning

16 December 2019
Yunhui Guo
Noel Codella
Leonid Karlinsky
James V. Codella
John R. Smith
Kate Saenko
Tajana Simunic
Rogerio Feris
ArXivPDFHTML

Papers citing "A Broader Study of Cross-Domain Few-Shot Learning"

11 / 11 papers shown
Title
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer
  Learning in Gridded Geo-Spatial Processes
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger
M. Neun
Henry Martin
Pedro Herruzo
M. Spanring
...
Fei Tang
A. Gruca
Michael K Kopp
David P. Kreil
Sepp Hochreiter
38
19
0
31 Mar 2022
Self-Supervised Class-Cognizant Few-Shot Classification
Self-Supervised Class-Cognizant Few-Shot Classification
Ojas Kishore Shirekar
Hadi Jamali Rad
SSL
27
4
0
15 Feb 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning
  Across Visual Domains
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Yuan-Chia Cheng
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
27
1
0
27 Dec 2021
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
21
50
0
10 Dec 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
G. Klambauer
Sepp Hochreiter
OOD
17
44
0
13 Oct 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot
  Classification
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
15
50
0
19 Jun 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping-Chia Huang
Winston H. Hsu
13
14
0
19 May 2020
Feature Transformation Ensemble Model with Batch Spectral Regularization
  for Cross-Domain Few-Shot Classification
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification
Bingyu Liu
Z. Zhao
Zhenpeng Li
Jianan Jiang
Yuhong Guo
Jieping Ye
10
31
0
18 May 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
38
1,926
0
11 Apr 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
281
11,677
0
09 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
86
233
0
28 Feb 2017
1