few-shot learning

Rectifying the Shortcut Learning of Background for Few-Shot Learning NeurIPS 2021 Recurrent Mask Refinement for Few-Shot Medical Image Segmentation ICCV 2021 Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021 Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021 Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NeurIPS 2021 Relational Embedding for Few-Shot Classification ICCV 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning ICLR 2021 Re-ranking for image retrieval and transductive few-shot classification NeurIPS 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021 Revisiting Self-training for Few-shot Learning of Language Model EMNLP 2021 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NeurIPS 2021 RNNP: A Robust Few-Shot Learning Approach WACV 2021 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021 SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction AAAI 2021 Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ACL 2021 Scalable Few-Shot Learning of Robust Biomedical Name Representations NAACL 2021 Scalable Transfer Learning with Expert Models ICLR 2021 Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021 Self-Distillation for Few-Shot Image Captioning WACV 2021 Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021 Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents NAACL 2021 Self-training For Few-shot Transfer Across Extreme Task Differences ICLR 2021