ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion

26 June 2023

Papers citing "ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion"

10 / 10 papers shown

Title
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 45 0 0 10 Feb 2025
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 25 42 0 31 Jul 2023
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 13 8 0 02 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation Gihyun Kwon Jong Chul Ye DiffM 147 154 0 30 Sep 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee S. Hwang 35 9 0 20 May 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,584 0 10 Nov 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 158 339 0 09 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 0 17 Oct 2019
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014