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DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable
  Kendall's Rank Correlation

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation

28 July 2023
Kai Zheng
Huishuai Zhang
Weiran Huang
ArXivPDFHTML

Papers citing "DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation"

4 / 4 papers shown
Title
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
79
3
0
17 Jan 2025
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
166
340
0
09 Mar 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
629
0
17 Oct 2019
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
314
11,681
0
09 Mar 2017
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