low-shot learning

Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification CVPR 2026 OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP CVPR 2025 Data-Efficient Molecular Generation with Hierarchical Textual Inversion ICML 2024 Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024 PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization NAACL 2024 Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation COLING 2024 Low-shot Object Learning with Mutual Exclusivity Bias NeurIPS 2023 MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding CVPR 2023 PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models CVPR 2023 Towards Professional Level Crowd Annotation of Expert Domain Data CVPR 2023 Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization NeurIPS 2022 FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary EACL 2021 Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs AAAI 2021 Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias CVPR 2021 DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data CVPR 2020 Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019 Cross-Cultural Transfer Learning for Text Classification EMNLP 2019 Low-Shot Learning From Imaginary Data CVPR 2018 Low-Shot Learning With Imprinted Weights CVPR 2018 Low-Shot Learning With Large-Scale Diffusion CVPR 2018 The INaturalist Species Classification and Detection Dataset CVPR 2018