TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation

11 June 2021

Wenjing Yang

Bo Han

Papers citing "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation"

8 / 8 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 85 0 0 27 Apr 2025
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 49 6 0 28 Jul 2024
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 30 1 0 07 Jul 2023
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 79 117 0 20 Mar 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Mingming Gong P. Stojanov Biwei Huang Qingsong Liu Clark Glymour OOD 43 64 0 09 Feb 2020
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data Yabin Zhang Hui Tang K. Jia 55 94 0 28 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017