Summary of Variational Bayes For Federated Continual Learning, by Dezhong Yao et al.
Variational Bayes for Federated Continual Learningby Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan…
Variational Bayes for Federated Continual Learningby Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan…
Similarity-Navigated Conformal Prediction for Graph Neural Networksby Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang,…
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Modelsby Yongxin Guo, Zhenglin Cheng,…
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillationby Weigang Lu, Ziyu Guan, Wei Zhao, Yaming YangFirst submitted to…
Smooth Pseudo-Labelingby Nikolaos Karaliolios, HervĂ© Le Borgne, Florian ChabotFirst submitted to arxiv on: 23 May…
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaborationby Yang Zhang, Shixin Yang, Chenjia Bai, Fei…
Adaptive Retention & Correction: Test-Time Training for Continual Learningby Haoran Chen, Micah Goldblum, Zuxuan Wu,…
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Visionby Mateusz Pach, Dawid Rymarczyk, Koryna…
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learningby Otmane Sakhi, Imad Aouali, Pierre Alquier,…
Explaining Graph Neural Networks via Structure-aware Interaction Indexby Ngoc Bui, Hieu Trung Nguyen, Viet Anh…