Neuron Campaign for Initialization Guided by Information Bottleneck Theory

14 August 2021

Papers citing "Neuron Campaign for Initialization Guided by Information Bottleneck Theory"

6 / 6 papers shown

Title
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 35 16 0 02 Feb 2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning Peng Zhang Yingbo Zhou Ming Hu Xin Fu Xian Wei Mingsong Chen FedML 32 1 0 28 Jan 2023
Gaussian Pre-Activations in Neural Networks: Myth or Reality? Pierre Wolinski Julyan Arbel AI4CE 76 8 0 24 May 2022
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection Xu Chen Qiu Qiu Changshan Li Kunqing Xie AI4TS 21 12 0 23 May 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective Quan Cui Bingchen Zhao Zhao-Min Chen Borui Zhao Renjie Song Jiajun Liang Boyan Zhou Osamu Yoshie 24 18 0 08 Mar 2022
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 93 224 0 24 Oct 2020