few-shot learning

C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra ICML 2022 Calibrating CNNs for Few-Shot Meta Learning WACV 2022 Can language models learn from explanations in context? EMNLP 2022 Can Yes-No Question-Answering Models be Useful for Few-Shot Metaphor Detection? EMNLP 2022 CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation EMNLP 2022 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models NeurIPS 2022 Channel Importance Matters in Few-Shot Image Classification ICML 2022 CharacterGAN: Few-Shot Keypoint Character Animation and Reposing WACV 2022 CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems AAAI 2022 CISLR: Corpus for Indian Sign Language Recognition EMNLP 2022 CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision EMNLP 2022 ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification ACL 2022 CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing AACL 2022 Classical Sequence Match Is a Competitive Few-Shot One-Class Learner COLING 2022 CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment ACL 2022 Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022 Compositional Task-Oriented Parsing as Abstractive Question Answering NAACL 2022 Conditional Prompt Learning for Vision-Language Models CVPR 2022 CoNeRF: Controllable Neural Radiance Fields CVPR 2022 Constrained Few-Shot Class-Incremental Learning CVPR 2022 CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning ACL 2022 Context-Aware Abbreviation Expansion Using Large Language Models NAACL 2022 Contextual Gradient Scaling for Few-Shot Learning WACV 2022 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NeurIPS 2022 Continual Few-shot Intent Detection COLING 2022