Summary of Consistency Of Compositional Generalization Across Multiple Levels, by Chuanhao Li et al.
Consistency of Compositional Generalization across Multiple Levelsby Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan,…
Summary of Label-template Based Few-shot Text Classification with Contrastive Learning, by Guanghua Hou et al.
Label-template based Few-Shot Text Classification with Contrastive Learningby Guanghua Hou, Shuhui Cao, Deqiang Ouyang, Ning…
Summary of Fedmetamed: Federated Meta-learning For Personalized Medication in Distributed Healthcare Systems, by Jiechao Gao et al.
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systemsby Jiechao Gao, Yuangang LiFirst submitted…
Summary of Learn to Unlearn: Meta-learning-based Knowledge Graph Embedding Unlearning, by Naixing Xu et al.
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearningby Naixing Xu, Qian Li, Xu Wang, Bingchen…
Summary of Relation-aware Meta-learning For Zero-shot Sketch-based Image Retrieval, by Yang Liu et al.
Relation-Aware Meta-Learning for Zero-shot Sketch-Based Image Retrievalby Yang Liu, Jiale Du, Xinbo Gao, Jungong HanFirst…
Summary of Unlocking Transfer Learning For Open-world Few-shot Recognition, by Byeonggeun Kim et al.
Unlocking Transfer Learning for Open-World Few-Shot Recognitionby Byeonggeun Kim, Juntae Lee, Kyuhong Shim, Simyung ChangFirst…
Summary of Adaptive Meta-learning For Robust Deepfake Detection: a Multi-agent Framework to Data Drift and Model Generalization, by Dinesh Srivasthav P et al.
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalizationby…
Summary of Metassc: Enhancing 3d Semantic Scene Completion For Autonomous Driving Through Meta-learning and Long-sequence Modeling, by Yansong Qu et al.
MetaSSC: Enhancing 3D Semantic Scene Completion for Autonomous Driving through Meta-Learning and Long-sequence Modelingby Yansong…
Summary of Integrated Image-text Based on Semi-supervised Learning For Small Sample Instance Segmentation, by Ruting Chi et al.
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentationby Ruting Chi, Zhiyi Huang,…
Summary of Task Consistent Prototype Learning For Incremental Few-shot Semantic Segmentation, by Wenbo Xu et al.
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentationby Wenbo Xu, Yanan Wu, Haoran Jiang,…