Few-Shot Learning

Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context AAAI 2024 Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024 Cooperative Meta-Learning with Gradient Augmentation UAI 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 Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024 D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NeurIPS 2024 Data-Efficient Graph Learning AAAI 2024 DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024 DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning SemEval 2024 Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies COLING 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning EMNLP 2024 Deep Support Vectors NeurIPS 2024 Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024 Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NeurIPS 2024 Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Designing Informative Metrics for Few-Shot Example Selection ACL 2024 Detecting Temporal Ambiguity in Questions EMNLP 2024 Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024