episodic training

From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification CVPR 2026 Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025 When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach CVPR 2025 Any-Way Meta Learning AAAI 2024 Episodic Multi-Task Learning with Heterogeneous Neural Processes NeurIPS 2023 ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning AAAI 2023 Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Interspeech 2023 CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification CVPR 2022 Embedding Adaptation Network with Transformer for Few-Shot Action Recognition ACML 2022 On the Episodic Difficulty of Few-shot Learning ACML 2022 Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection NeurIPS 2022 Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021 Data Augmentation for Meta-Learning ICML 2021 Memory Efficient Meta-Learning with Large Images NeurIPS 2021 Mining Latent Classes for Few-Shot Segmentation ICCV 2021 Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021 Uniform Sampling over Episode Difficulty NeurIPS 2021 A Closer Look at the Training Strategy for Modern Meta-Learning NeurIPS 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 One-Shot Learning for Long-Tail Visual Relation Detection AAAI 2020 SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Episodic Training for Domain Generalization ICCV 2019 Few-Shot Learning With Global Class Representations ICCV 2019 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal CVPR 2019