few-shot image classification

F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification AAAI 2026 Cooperative Meta-Learning with Gradient Augmentation UAI 2024 Improving Hyperbolic Representations via Gromov-Wasserstein Regularization ECCV 2024 Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP EMNLP 2024 Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification AAAI 2023 CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023 Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models ICCV 2023 A Closer Look at Prototype Classifier for Few-shot Image Classification NeurIPS 2022 Enhancing Few-Shot Image Classification With Unlabelled Examples WACV 2022 Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022 Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions NAACL 2022 Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021 argmax centroid NeurIPS 2021 Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021 Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier ICCV 2021 Mixture-Based Feature Space Learning for Few-Shot Image Classification ICCV 2021 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020