few-shot learning

HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification EMNLP 2020 Hyperbolic Image Embeddings CVPR 2020 Improved Few-Shot Visual Classification CVPR 2020 Incremental Few-Shot Object Detection CVPR 2020 Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition CVPR 2020 Information Maximization for Few-Shot Learning NeurIPS 2020 Information-theoretic Task Selection for Meta-Reinforcement Learning NeurIPS 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Intent Detection with WikiHow AACL 2020 Interventional Few-Shot Learning NeurIPS 2020 IntKB: A Verifiable Interactive Framework for Knowledge Base Completion COLING 2020 Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization EMNLP 2020 IsOBS: An Information System for Oracle Bone Script EMNLP 2020 KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation EMNLP 2020 Knowledge Graph Transfer Network for Few-Shot Recognition AAAI 2020 Language Models are Few-Shot Learners NeurIPS 2020 Laplacian Regularized Few-Shot Learning ICML 2020 Learning Compositional Rules via Neural Program Synthesis NeurIPS 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Learning Fast Adaptation on Cross-Accented Speech Recognition Interspeech 2020 Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data IJCAI 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020