few-shot classification

Data Augmentation for Meta-Learning ICML 2021 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NeurIPS 2021 Effectively Leveraging Attributes for Visual Similarity ICCV 2021 Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Intact Features by Erasing-Inpainting for Few-shot Classification AAAI 2021 Memory Efficient Meta-Learning with Large Images NeurIPS 2021 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning ICLR 2021 Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning ICCV 2021 On the Importance of Distractors for Few-Shot Classification ICCV 2021 Re-ranking for image retrieval and transductive few-shot classification NeurIPS 2021 Self-supervised Network Evolution for Few-shot Classification IJCAI 2021 Stochastic Whitening Batch Normalization CVPR 2021 The Functional Correspondence Problem ICCV 2021 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NeurIPS 2021 Universal Representation Learning From Multiple Domains for Few-Shot Classification ICCV 2021 Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models ICLR 2021 Variational Feature Disentangling for Fine-Grained Few-Shot Classification ICCV 2021 Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation ICLR 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 Differentially Private Meta-Learning ICLR 2020 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients ICLR 2020