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. 2107.00358
  4. Cited By
Cross-domain Few-shot Learning with Task-specific Adapters

Cross-domain Few-shot Learning with Task-specific Adapters

1 July 2021
Weihong Li
Xialei Liu
Hakan Bilen
    OOD
ArXivPDFHTML

Papers citing "Cross-domain Few-shot Learning with Task-specific Adapters"

15 / 65 papers shown
Title
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
22
16
0
06 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
25
3
0
22 Dec 2022
Federated Learning for Inference at Anytime and Anywhere
Federated Learning for Inference at Anytime and Anywhere
Zicheng Liu
Da Li
Javier Fernandez-Marques
Stefanos Laskaridis
Yan Gao
L. Dudziak
Stan Z. Li
S. Hu
Timothy M. Hospedales
FedML
16
5
0
08 Dec 2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and
  Inter-Image Attention Design
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design
Yikai Yan
Chaoyue Niu
Fan Wu
Qinya Li
Shaojie Tang
Chengfei Lyu
Guihai Chen
11
0
0
11 Nov 2022
Universal Deep Image Compression via Content-Adaptive Optimization with
  Adapters
Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
Koki Tsubota
Hiroaki Akutsu
Kiyoharu Aizawa
11
17
0
02 Nov 2022
Schedule-Robust Online Continual Learning
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
24
4
0
11 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
34
9
0
10 Oct 2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
Dustin Carrión-Ojeda
Hong Chen
Adrian El Baz
Sergio Escalera
Chaoyu Guan
Isabelle M Guyon
I. Ullah
Xin Eric Wang
Wenwu Zhu
VLM
10
6
0
31 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu
Shuaifeng Zhi
Li Liu
24
4
0
17 Aug 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image
  Classification
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Massimiliano Patacchiola
J. Bronskill
Aliaksandra Shysheya
Katja Hofmann
Sebastian Nowozin
Richard E. Turner
VLM
16
9
0
20 Jun 2022
Channel Importance Matters in Few-Shot Image Classification
Channel Importance Matters in Few-Shot Image Classification
Xu Luo
Jing Xu
Zenglin Xu
VLM
14
42
0
16 Jun 2022
Feature Extractor Stacking for Cross-domain Few-shot Learning
Feature Extractor Stacking for Cross-domain Few-shot Learning
Hongyu Wang
Eibe Frank
Bernhard Pfahringer
Michael Mayo
G. Holmes
13
4
0
12 May 2022
Deep Metric Learning for Few-Shot Image Classification: A Review of
  Recent Developments
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
33
115
0
17 May 2021
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
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
Previous
12