Summary of Adagmlp: Adaboosting Gnn-to-mlp Knowledge Distillation, by Weigang Lu et al.
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillationby Weigang Lu, Ziyu Guan, Wei Zhao, Yaming YangFirst submitted to…
Summary of Adversarial Training Via Adaptive Knowledge Amalgamation Of An Ensemble Of Teachers, by Shayan Mohajer Hamidi et al.
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachersby Shayan Mohajer Hamidi, Linfeng…
Summary of Geomask3d: Geometrically Informed Mask Selection For Self-supervised Point Cloud Learning in 3d, by Ali Bahri et al.
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3Dby Ali Bahri, Moslem…
Summary of Distilling Diffusion Models Into Conditional Gans, by Minguk Kang et al.
Distilling Diffusion Models into Conditional GANsby Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha…
Summary of Why Does Knowledge Distillation Work? Rethink Its Attention and Fidelity Mechanism, by Chenqi Guo et al.
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanismby Chenqi Guo, Shiwei Zhong,…
Summary of Noisy Node Classification by Bi-level Optimization Based Multi-teacher Distillation, By Yujing Liu et al.
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillationby Yujing Liu, Zongqian Wu, Zhengyu Lu,…
Summary of Reffakd: Resource-efficient Autoencoder-based Knowledge Distillation, by Divyang Doshi and Jung-eun Kim
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillationby Divyang Doshi, Jung-Eun KimFirst submitted to arxiv on: 15 Apr…
Summary of Improve Knowledge Distillation Via Label Revision and Data Selection, by Weichao Lan et al.
Improve Knowledge Distillation via Label Revision and Data Selectionby Weichao Lan, Yiu-ming Cheung, Qing Xu,…
Summary of Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures For Brain-computer Interfaces, by Yejia Liu et al.
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfacesby Yejia Liu, Shijin Duan,…
Summary of Flykd: Graph Knowledge Distillation on the Fly with Curriculum Learning, by Eugene Ku
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learningby Eugene KuFirst submitted to arxiv…