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conftrace_

few-shot learning

3,578 papers

FSL FEWSHOT FEW-SHOT

Papers

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation ACL 2022 Continual Training of Language Models for Few-Shot Learning EMNLP 2022 Continued Pretraining for Better Zero- and Few-Shot Promptability EMNLP 2022 Continuous-Time Meta-Learning with Forward Mode Differentiation ICLR 2022 Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022 Contrastive Learning for Prompt-based Few-shot Language Learners NAACL 2022 ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification AAAI 2022 Controllable Dialogue Simulation with In-context Learning EMNLP 2022 ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval EMNLP 2022 COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition COLING 2022 CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation EMNLP 2022 Co-training Improves Prompt-based Learning for Large Language Models ICML 2022 “Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds EMNLP 2022 CPL: Counterfactual Prompt Learning for Vision and Language Models EMNLP 2022 Cross-Domain Few-Shot Graph Classification AAAI 2022 Cross-Domain Few-Shot Learning With Task-Specific Adapters CVPR 2022 Cross-lingual Few-Shot Learning on Unseen Languages AACL 2022 CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3 SemEval 2022 CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking AACL 2022 Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation IJCAI 2022 Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models ACL 2022 Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue ACL 2022 Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective COLING 2022 Data Augmentation for Intent Classification with Off-the-shelf Large Language Models ACL 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers NeurIPS 2022