few-shot learning

Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer ICLR 2023 Promptagator: Few-shot Dense Retrieval From 8 Examples ICLR 2023 Prompt-aligned Gradient for Prompt Tuning ICCV 2023 Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners AAAI 2023 Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning ACL 2023 Prompt-Based Metric Learning for Few-Shot NER ACL 2023 PromptBoosting: Black-Box Text Classification with Ten Forward Passes ICML 2023 PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners EACL 2023 Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners CVPR 2023 Prompting Large Language Model for Machine Translation: A Case Study ICML 2023 Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering CVPR 2023 Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation EMNLP 2023 PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation EMNLP 2023 PromptNER: Prompt Locating and Typing for Named Entity Recognition ACL 2023 Prompts Can Play Lottery Tickets Well: Achieving Lifelong Information Extraction via Lottery Prompt Tuning ACL 2023 Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models ACL 2023 ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NeurIPS 2023 ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI JMLR 2023 Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning EMNLP 2023 Prototypical Calibration for Few-shot Learning of Language Models ICLR 2023 Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes AAAI 2023 Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation ICCV 2023 Prototypical Variational Autoencoder for 3D Few-shot Object Detection NeurIPS 2023 Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML 2023 QAID: Question Answering Inspired Few-shot Intent Detection ICLR 2023