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. 2403.01966
  4. Cited By
Enhancing Information Maximization with Distance-Aware Contrastive
  Learning for Source-Free Cross-Domain Few-Shot Learning

Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning

4 March 2024
Huali Xu
Li Liu
Shuaifeng Zhi
Shaojing Fu
Z. Su
Ming-Ming Cheng
Yongxiang Liu
ArXivPDFHTML

Papers citing "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning"

6 / 6 papers shown
Title
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Ivan Montoya Sanchez
Shaswata Mitra
Aritran Piplai
Sudip Mittal
46
0
0
25 Apr 2025
Few-Shot Vision-Language Action-Incremental Policy Learning
Few-Shot Vision-Language Action-Incremental Policy Learning
Mingchen Song
Xiang Deng
Guoqiang Zhong
Qi Lv
Jia Wan
Yinchuan Li
Jianye Hao
Weili Guan
41
0
0
22 Apr 2025
Towards Few-Shot Learning in the Open World: A Review and Beyond
Towards Few-Shot Learning in the Open World: A Review and Beyond
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
54
1
0
19 Aug 2024
Dual Adaptive Representation Alignment for Cross-domain Few-shot
  Learning
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
44
19
0
18 Jun 2023
Exploring Effective Factors for Improving Visual In-Context Learning
Exploring Effective Factors for Improving Visual In-Context Learning
Yanpeng Sun
Qiang Chen
Jian Wang
Jingdong Wang
Zechao Li
LRM
VLM
43
24
0
10 Apr 2023
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
338
11,684
0
09 Mar 2017
1