few-shot learning

Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024 Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024 Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection CoNLL 2024 Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation ACL 2024 CoPL: Contextual Prompt Learning for Vision-Language Understanding AAAI 2024 Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024 Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild AAAI 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 CPopQA: Ranking Cultural Concept Popularity by LLMs NAACL 2024 Cross-Device Collaborative Test-Time Adaptation NeurIPS 2024 Cross-Domain Audio Deepfake Detection: Dataset and Analysis EMNLP 2024 Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition WACV 2024 Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024 Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024 Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish COLING 2024 Cross-Lingual Metaphor Detection for Low-Resource Languages NAACL 2024 Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering AAAI 2024 Cross-Task Generalization Abilities of Large Language Models NAACL 2024 CrossTune: Black-Box Few-Shot Classification with Label Enhancement COLING 2024 CSSWiki: A Chinese Sentence Simplification Dataset with Linguistic and Content Operations COLING 2024 D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NeurIPS 2024 DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation AAAI 2024 Data Augmentation for Object Detection via Controllable Diffusion Models WACV 2024 Data-Efficient Graph Learning AAAI 2024 DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024