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Few-Shot Learning

2,681 papers

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Papers

In-Context Learning for Text Classification with Many Labels EMNLP 2023 Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning AAAI 2023 Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition ACL 2023 Instruction Induction: From Few Examples to Natural Language Task Descriptions ACL 2023 Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ACL 2023 Interval Bound Interpolation for Few-shot Learning with Few Tasks ICML 2023 Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics MIDL 2023 Is ChatGPT a General-Purpose Natural Language Processing Task Solver? EMNLP 2023 Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction ACL 2023 Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training ICCV 2023 IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION? ICLR 2023 JASMINE: Arabic GPT Models for Few-Shot Learning EMNLP 2023 K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification EACL 2023 KnowComp Submission for WMT23 Word-Level AutoCompletion Task EMNLP 2023 Knowing What To Label for Few Shot Microscopy Image Cell Segmentation WACV 2023 Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models ICCV 2023 Knowledge Combination To Learn Rotated Detection Without Rotated Annotation CVPR 2023 Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning EMNLP 2023 Language Models are Weak Learners NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning NeurIPS 2023 Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions ACL 2023 Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NeurIPS 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 Large Language Models Can Self-Improve EMNLP 2023 LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models CVPR 2023