few-shot learning

“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems EMNLP 2021 Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning ICCV 2021 It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners NAACL 2021 Kernel Methods in Hyperbolic Spaces ICCV 2021 Knowledge-Adaptation Priors NeurIPS 2021 Knowledge Guided Metric Learning for Few-Shot Text Classification NAACL 2021 Known unknowns: Learning novel concepts using reasoning-by-elimination UAI 2021 Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting CVPR 2021 Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction EMNLP 2021 Language Models are Few-Shot Butlers EMNLP 2021 Language Models are Few-shot Multilingual Learners EMNLP 2021 Language Models for Lexical Inference in Context EACL 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021 Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021 Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework EMNLP 2021 Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition ACL 2021 Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021 Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021 Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021 Learning Intact Features by Erasing-Inpainting for Few-shot Classification AAAI 2021