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Riemannian Geometric-based Meta LearningAAAI Conference on Artificial Intelligence (AAAI), 2025 |
 Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot AutonomyThe international journal of robotics research (IJRR), 2024 |
 Hacking Task Confounder in Meta-LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 |
 Learning to Learn from APIs: Black-Box Data-Free Meta-LearningInternational Conference on Machine Learning (ICML), 2023 |
 Architecture, Dataset and Model-Scale Agnostic Data-free Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2023 |
 Task-Agnostic Learning to Accomplish New TasksIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022 |
 Kernel Relative-prototype Spectral Filtering for Few-shot LearningEuropean Conference on Computer Vision (ECCV), 2022 |
 Prototype Completion for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 Deep Metric Learning for Few-Shot Image Classification: A Review of
Recent DevelopmentsPattern Recognition (Pattern Recogn.), 2021 |
 Meta-learning of Pooling Layers for Character RecognitionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2021 |
