few-shot learning

Glocal Energy-Based Learning for Few-Shot Open-Set Recognition CVPR 2023 Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages EMNLP 2023 Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models ICCV 2023 Graph of Circuits with GNN for Exploring the Optimal Design Space NeurIPS 2023 GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction AAAI 2023 Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023 Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023 GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence EMNLP 2023 Handwritten Text Generation From Visual Archetypes CVPR 2023 Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks ICLR 2023 Hard Sample Aware Prompt-Tuning ACL 2023 Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting EMNLP 2023 Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs ICLR 2023 Hierarchical Dense Correlation Distillation for Few-Shot Segmentation CVPR 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NeurIPS 2023 Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion ICLR 2023 Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification ACL 2023 High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation AAAI 2023 Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023 HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023 HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models CVPR 2023 How Do In-Context Examples Affect Compositional Generalization? ACL 2023 How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023 How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023 Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023