few-shot classification

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification CVPR 2022 Efficient Variance Reduction for Meta-learning ICML 2022 Generating Representative Samples for Few-Shot Classification CVPR 2022 How to Train Your MAML to Excel in Few-Shot Classification ICLR 2022 Integrative Few-Shot Learning for Classification and Segmentation CVPR 2022 Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification CVPR 2022 Label Hallucination for Few-Shot Classification AAAI 2022 Learning Prototype-oriented Set Representations for Meta-Learning ICLR 2022 Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification CVPR 2022 Making Pretrained Language Models Good Long-tailed Learners EMNLP 2022 MAML is a Noisy Contrastive Learner in Classification ICLR 2022 Meta-Learning with Self-Improving Momentum Target NeurIPS 2022 On the Importance of Firth Bias Reduction in Few-Shot Classification ICLR 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 Symmetry-induced Disentanglement on Graphs NeurIPS 2022 Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning ICLR 2022 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 A Multi-Mode Modulator for Multi-Domain Few-Shot Classification ICCV 2021 A Neural Few-Shot Text Classification Reality Check EACL 2021 A Universal Representation Transformer Layer for Few-Shot Image Classification ICLR 2021 Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes ICLR 2021 Class-Wise Metric Scaling for Improved Few-Shot Classification WACV 2021 Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021 Cross-Domain Few-Shot Classification via Adversarial Task Augmentation IJCAI 2021