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Few-Shot Learning

1,840 papers

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Papers

Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023 OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models ACL 2023 Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension EMNLP 2023 PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023 Perception Test: A Diagnostic Benchmark for Multimodal Video Models NeurIPS 2023 PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models EMNLP 2023 POE: Process of Elimination for Multiple Choice Reasoning EMNLP 2023 Polarity Is All You Need to Learn and Transfer Faster ICML 2023 Pre-Finetuning for Few-Shot Emotional Speech Recognition Interspeech 2023 Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification EMNLP 2023 ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification CVPR 2023 Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation AAAI 2023 Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners AAAI 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 Prompted LLMs as Chatbot Modules for Long Open-domain Conversation ACL 2023 Prompted Opinion Summarization with GPT-3.5 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 Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning EMNLP 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 Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore ICLR 2023