Few-Shot Learning

Supervised Masked Knowledge Distillation for Few-Shot Transformers CVPR 2023 Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation ICLR 2023 Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023 SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains EACL 2023 TabLLM: Few-shot Classification of Tabular Data with Large Language Models AISTATS 2023 TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding EMNLP 2023 TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation ACL 2023 Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition ACL 2023 Task-aware Adaptive Learning for Cross-domain Few-shot Learning ICCV 2023 Task Residual for Tuning Vision-Language Models CVPR 2023 Teaching Small Language Models to Reason ACL 2023 Text Classification via Large Language Models EMNLP 2023 The Art of Prompting: Event Detection based on Type Specific Prompts ACL 2023 The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation ICCV 2023 The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification NeurIPS 2023 The Unreasonable Effectiveness of Few-shot Learning for Machine Translation ICML 2023 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023 Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient? WACV 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Towards Professional Level Crowd Annotation of Expert Domain Data CVPR 2023 Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection Interspeech 2023 Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement CVPR 2023 Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models EMNLP 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023 Turning a CLIP Model Into a Scene Text Detector CVPR 2023