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— Unverified Object-Level Representation Learning for Few-Shot Image Classification May 28, 2018 Classification Few-Shot Image Classification
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— Unverified On Label-Efficient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers Oct 19, 2021 Active Learning Continual Learning
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— Unverified On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model Apr 28, 2022 Few-Shot Learning In-Context Learning
— Unverified A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness Dec 2, 2023 Few-Shot Learning In-Context Learning
— Unverified On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting Apr 1, 2022 Few-Shot Learning Keyword Spotting
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— Unverified On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization May 29, 2024 Few-Shot Learning Meta-Learning
— Unverified On the low-shot transferability of [V]-Mamba Mar 15, 2024 Few-Shot Learning Mamba
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— Unverified On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence Apr 13, 2023 Few-Shot Learning Scene Classification
— Unverified On The Relationship between Visual Anomaly-free and Anomalous Representations Oct 9, 2024 Anomaly Detection Domain Adaptation
— Unverified On the Role of Neural Collapse in Transfer Learning Dec 30, 2021 Clustering Few-Shot Learning
— Unverified On the Role of Pre-training for Meta Few-Shot Learning Jan 1, 2021 Disentanglement Few-Shot Learning
— Unverified On the Subspace Structure of Gradient-Based Meta-Learning Jul 8, 2022 Few-Shot Learning image-classification
— Unverified On the Utility of Active Instance Selection for Few-Shot Learning Oct 16, 2020 Active Learning Few-Shot Learning
— Unverified Ontology-enhanced Prompt-tuning for Few-shot Learning Jan 27, 2022 Event Extraction Few-Shot Learning
— Unverified On Transfer in Classification: How Well do Subsets of Classes Generalize? Mar 6, 2024 Few-Shot Learning Transfer Learning
— Unverified OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification Dec 1, 2020 Few-Shot Learning General Classification
— Unverified OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data Feb 20, 2024 Few-Shot Learning Hallucination
— Unverified Open-Ended Content-Style Recombination Via Leakage Filtering Sep 28, 2018 Few-Shot Learning Metric Learning
— Unverified Open Long-Tailed Recognition in a Dynamic World Aug 17, 2022 Active Learning Classification
— Unverified Open Set Chinese Character Recognition using Multi-typed Attributes Aug 27, 2018 Attribute Few-Shot Learning
— Unverified 