few-shot learning

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022 Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning AISTATS 2022 WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models Interspeech 2022 Weak-shot Semantic Segmentation via Dual Similarity Transfer NeurIPS 2022 What Makes Data-to-Text Generation Hard for Pretrained Language Models? EMNLP 2022 What Makes for Effective Few-Shot Point Cloud Classification? WACV 2022 What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022 When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework AAAI 2022 Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022 XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation CVPR 2022 Zero- and Few-Shot NLP with Pretrained Language Models ACL 2022 ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot ICCV 2021 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ACL 2021 Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach WACV 2021 Adaptive Nearest Neighbor Machine Translation ACL 2021 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning WACV 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021 A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection ICCV 2021 Airbert: In-Domain Pretraining for Vision-and-Language Navigation ICCV 2021 A large-scale benchmark for few-shot program induction and synthesis ICML 2021 A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning ICCV 2021 Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021