MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

31 July 2023

Papers citing "MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning"

20 / 20 papers shown

Title
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning Donggyun Kim Chanwoo Kim Seunghoon Hong 22 0 0 21 Apr 2025
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
Rethinking the Sample Relations for Few-Shot Classification Guowei Yin Sheng Huang Luwen Huangfu Yi Zhang Xiaohong Zhang VLM 33 0 0 23 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 89 0 0 22 Jan 2025
Neural Network Diffusion Kaili Wang Dongwen Tang Boya Zeng Yida Yin Zhaopan Xu Yukun Zhou Zelin Zang Trevor Darrell Zhuang Liu Yang You DiffM 43 5 0 03 Jan 2025
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation Jiaqi Ma Guo-Sen Xie Fang Zhao Zechao Li 32 0 0 23 Dec 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 72 0 0 25 Nov 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 18 0 0 08 Oct 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion Yongyuan Liang Tingqiang Xu Kaizhe Hu Guangqi Jiang Furong Huang Huazhe Xu LM&Ro VGen DiffM 29 2 0 15 Jul 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
GPN: Generative Point-based NeRF Haipeng Wang 3DPC 25 0 0 12 Apr 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 33 8 0 27 Mar 2024
Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang Jinze Zhao Peihao Wang Zhangyang Wang Yingbin Liang 16 2 0 03 Dec 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 17 3 0 06 Nov 2023
Meta-Learning with Self-Improving Momentum Target Jihoon Tack Jongjin Park Hankook Lee Jaeho Lee Jinwoo Shin LRM 55 12 0 11 Oct 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,330 0 24 Jan 2022
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 202 627 0 17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 634 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017