few-shot learning

Keyword Spotting with Synthetic Data using Heterogeneous Knowledge Distillation Interspeech 2022 KiPT: Knowledge-injected Prompt Tuning for Event Detection COLING 2022 K-LITE: Learning Transferable Visual Models with External Knowledge NeurIPS 2022 Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains ACL 2022 Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection EMNLP 2022 Knowledge-grounded Dialog State Tracking EMNLP 2022 Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation NAACL 2022 Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding EMNLP 2022 Label Anchored Contrastive Learning for Language Understanding NAACL 2022 Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection EMNLP 2022 Label Hallucination for Few-Shot Classification AAAI 2022 Label Semantics for Few Shot Named Entity Recognition ACL 2022 Label, Verify, Correct: A Simple Few Shot Object Detection Method CVPR 2022 Language Model Pre-Training with Sparse Latent Typing EMNLP 2022 Language Models of Code are Few-Shot Commonsense Learners EMNLP 2022 Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NeurIPS 2022 Large language models are few-shot clinical information extractors EMNLP 2022 Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022 LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification NAACL 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization NeurIPS 2022 Learning Dialogue Representations from Consecutive Utterances NAACL 2022 Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022 Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NeurIPS 2022 Learning from the Tangram to Solve Mini Visual Tasks AAAI 2022