few-shot learning

Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning ICCV 2021 Home Action Genome: Cooperative Compositional Action Understanding CVPR 2021 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021 How Fine-Tuning Allows for Effective Meta-Learning NeurIPS 2021 How Important is the Train-Validation Split in Meta-Learning? ICML 2021 How many data points is a prompt worth? NAACL 2021 How Well Do Self-Supervised Models Transfer? CVPR 2021 HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression EMNLP 2021 Hypercorrelation Squeeze for Few-Shot Segmentation ICCV 2021 IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification ACL 2021 IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning ICLR 2021 Improve Unsupervised Pretraining for Few-Label Transfer ICCV 2021 Improving and Simplifying Pattern Exploiting Training EMNLP 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NeurIPS 2021 Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task EMNLP 2021 Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task WACV 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation NAACL 2021 Incremental Few-Shot Instance Segmentation CVPR 2021 Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System NAACL 2021 Information theoretic meta learning with Gaussian processes UAI 2021 Integrating Pre-trained Model into Rule-based Dialogue Management AAAI 2021 Intriguing Properties of Vision Transformers NeurIPS 2021 Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021