few-shot learning

Few-Shot Visual Relationship Co-Localization ICCV 2021 FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary EACL 2021 FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation EMNLP 2021 Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021 FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition ICCV 2021 FLEX: Unifying Evaluation for Few-Shot NLP NeurIPS 2021 FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction AAAI 2021 ForumSum: A Multi-Speaker Conversation Summarization Dataset EMNLP 2021 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021 Function Contrastive Learning of Transferable Meta-Representations ICML 2021 Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition WACV 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting ICCV 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 Generative Compositional Augmentations for Scene Graph Prediction ICCV 2021 Generative vs. Discriminative: Rethinking The Meta-Continual Learning NeurIPS 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 Gradient-based Hyperparameter Optimization Over Long Horizons NeurIPS 2021 H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction ICCV 2021 Hallucination Improves Few-Shot Object Detection CVPR 2021 Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NeurIPS 2021