How to trust unlabeled data? Instance Credibility Inference for Few-Shot
Learning

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

15 July 2020

Li Zhang

Papers citing "How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning"

5 / 5 papers shown

Title
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 14 1 0 13 Apr 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 32 8 0 02 Jan 2023
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 11 2 0 21 Oct 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017