2023 TOP Meta-Learning Journal Review（持续更新中）

2023 年度的顶会已经出炉，在此把关于 Meta-Learning 的部分筛选出来，以供后续学习，整理内容已同步在 Github。

人工智能

AI

paper	authors	code
Towards well-generalizing meta-learning via adversarial task augmentation	Haoqing Wang	url

TPAMI

paper	authors	code
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks	Han-Jia Ye	url
Robust Online Tracking With Meta-Updater	Jie Zhao	url
Clustered Task-Aware Meta-Learning by Learning From Learning Paths	Danni Peng	url
Base and Meta: A New Perspective on Few-Shot Segmentation	Chunbo Lang	url
Meta-DETR: Image-Level Few-Shot Detection With Inter-Class Correlation Exploitation	Gongjie Zhang	url
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning	Yang Shu	url
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition	Sayak Nag	none
MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer	Wenjian Wang	none
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning	Christian Raymond	none
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition	Huseyin Coskun	none
Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments	Zhenshan Bing	none
Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data	Zhi Gao	none
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors	Cuong Nguyen	none

IJCV

paper	authors	code
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning	Wenwen Qiang	none

JMLR

paper	authors	code
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning	Bokun Wang	url

数据库/数据挖掘/内容检索

TODS

TOIS

TKDE

VLDBJ