few-shot learning

Learning Meta-Class Memory for Few-Shot Semantic Segmentation ICCV 2021 Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021 Learning Prototype Representations Across Few-Shot Tasks for Event Detection EMNLP 2021 Learning To Count Everything CVPR 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NeurIPS 2021 Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021 Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs IJCAI 2021 Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021 Learning to learn with Gaussian processes UAI 2021 Learning Visually Guided Latent Actions for Assistive Teleoperation L4DC 2021 Learning where to learn: Gradient sparsity in meta and continual learning NeurIPS 2021 Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension EMNLP 2021 `Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021 Lexicon Learning for Few Shot Sequence Modeling ACL 2021 Linear Semantics in Generative Adversarial Networks CVPR 2021 Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction EMNLP 2021 MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification IJCAI 2021 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization MLHC 2021 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization NAACL 2021 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning ICLR 2021 Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021 Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ICCV 2021