MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Baoquan, Luo, Chuyao, Yu, Demin, Lin, Huiwei, Li, Xutao, Ye, Yunming, Zhang, Bowen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
by: Lin, Huiwei, et al.
Published: (2023)
by: Lin, Huiwei, et al.
Published: (2023)
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information
by: Liang, Jiajun, et al.
Published: (2024)
by: Liang, Jiajun, et al.
Published: (2024)
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
by: Yu, Demin, et al.
Published: (2023)
by: Yu, Demin, et al.
Published: (2023)
Prototype Optimization with Neural ODE for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2024)
by: Zhang, Baoquan, et al.
Published: (2024)
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
by: Lin, Huiwei
Published: (2024)
by: Lin, Huiwei
Published: (2024)
LG-VQ: Language-Guided Codebook Learning
by: Liang, Guotao, et al.
Published: (2024)
by: Liang, Guotao, et al.
Published: (2024)
Meta-Learning Based Few-Shot Graph-Level Anomaly Detection
by: Li, Liting, et al.
Published: (2025)
by: Li, Liting, et al.
Published: (2025)
Four-hour thunderstorm nowcasting using a deep diffusion model of satellite data
by: Dai, Kuai, et al.
Published: (2024)
by: Dai, Kuai, et al.
Published: (2024)
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
by: Guan, Yunchuan, et al.
Published: (2025)
by: Guan, Yunchuan, et al.
Published: (2025)
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
by: Tang, Jialu, et al.
Published: (2024)
by: Tang, Jialu, et al.
Published: (2024)
Meta-Semantics Augmented Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)
by: Wu, Han, et al.
Published: (2025)
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)
by: Wu, Han, et al.
Published: (2025)
MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification for Health Management with Spatial-Temporal Hypergraph Enhanced Meta-Learning
by: Li, Jingyu, et al.
Published: (2025)
by: Li, Jingyu, et al.
Published: (2025)
Dynamic Indoor Fingerprinting Localization based on Few-Shot Meta-Learning with CSI Images
by: Jiao, Jiyu, et al.
Published: (2024)
by: Jiao, Jiyu, et al.
Published: (2024)
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
by: Ke, Tianjun, et al.
Published: (2023)
by: Ke, Tianjun, et al.
Published: (2023)
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
by: Guan, Yunchuan, et al.
Published: (2024)
by: Guan, Yunchuan, et al.
Published: (2024)
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
by: Yu, Xingtong, et al.
Published: (2024)
by: Yu, Xingtong, et al.
Published: (2024)
Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit
by: Zhang, Chaozhi, et al.
Published: (2024)
by: Zhang, Chaozhi, et al.
Published: (2024)
Quantum Diffusion Models for Few-Shot Learning
by: Wang, Ruhan, et al.
Published: (2024)
by: Wang, Ruhan, et al.
Published: (2024)
Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
by: Rostami, Mohammad, et al.
Published: (2024)
by: Rostami, Mohammad, et al.
Published: (2024)
MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
by: Woehrle, Thomas, et al.
Published: (2024)
by: Woehrle, Thomas, et al.
Published: (2024)
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
by: Zeng, Qiuhao
Published: (2025)
by: Zeng, Qiuhao
Published: (2025)
Boosting Meta-Training with Base Class Information for Few-Shot Learning
by: Jiang, Weihao, et al.
Published: (2024)
by: Jiang, Weihao, et al.
Published: (2024)
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
by: Deng, Bairong, et al.
Published: (2024)
by: Deng, Bairong, et al.
Published: (2024)
Set-based Meta-Interpolation for Few-Task Meta-Learning
by: Lee, Seanie, et al.
Published: (2022)
by: Lee, Seanie, et al.
Published: (2022)
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
by: Vladymyrov, Max, et al.
Published: (2023)
by: Vladymyrov, Max, et al.
Published: (2023)
Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
by: Uddin, Mohammed Mudassir, et al.
Published: (2026)
by: Uddin, Mohammed Mudassir, et al.
Published: (2026)
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
by: Zhang, Baoquan, et al.
Published: (2024)
by: Zhang, Baoquan, et al.
Published: (2024)
Causal-Symbolic Meta-Learning (CSML): Inducing Causal World Models for Few-Shot Generalization
by: S, Mohamed Zayaan
Published: (2025)
by: S, Mohamed Zayaan
Published: (2025)
Boosting Meta-Learning for Few-Shot Text Classification via Label-guided Distance Scaling
by: Gao, Yunlong, et al.
Published: (2026)
by: Gao, Yunlong, et al.
Published: (2026)
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
by: Bhaumik, Kishor Kumar, et al.
Published: (2024)
by: Bhaumik, Kishor Kumar, et al.
Published: (2024)
Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach
by: Li, Xiaozhuang, et al.
Published: (2026)
by: Li, Xiaozhuang, et al.
Published: (2026)
MetaToolAgent: Towards Generalizable Tool Usage in LLMs through Meta-Learning
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
by: Tsoumplekas, Georgios, et al.
Published: (2024)
by: Tsoumplekas, Georgios, et al.
Published: (2024)
Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting
by: Liu, Anxian, et al.
Published: (2025)
by: Liu, Anxian, et al.
Published: (2025)
Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation
by: Zhang, Yilang, et al.
Published: (2026)
by: Zhang, Yilang, et al.
Published: (2026)
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection
by: Xu, Xiongxiao, et al.
Published: (2023)
by: Xu, Xiongxiao, et al.
Published: (2023)
MetaRM: Shifted Distributions Alignment via Meta-Learning
by: Dou, Shihan, et al.
Published: (2024)
by: Dou, Shihan, et al.
Published: (2024)
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
by: Yuan, Yuan, et al.
Published: (2024)
by: Yuan, Yuan, et al.
Published: (2024)
Similar Items
-
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
by: Lin, Huiwei, et al.
Published: (2023) -
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information
by: Liang, Jiajun, et al.
Published: (2024) -
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
by: Yu, Demin, et al.
Published: (2023) -
Prototype Optimization with Neural ODE for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2024) -
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
by: Lin, Huiwei
Published: (2024)