Summary of Bayes-optimal Classifiers Under Group Fairness, by Xianli Zeng and Edgar Dobriban and Guang Cheng
Bayes-Optimal Classifiers under Group Fairnessby Xianli Zeng, Edgar Dobriban, Guang ChengFirst submitted to arxiv on:…
Summary of A Proximal Algorithm For Sampling, by Jiaming Liang et al.
A Proximal Algorithm for Samplingby Jiaming Liang, Yongxin ChenFirst submitted to arxiv on: 28 Feb…
Summary of Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions, by Nina Deliu et al.
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventionsby Nina Deliu, Joseph Jay Williams, Bibhas…
Summary of Ethereum Fraud Detection with Heterogeneous Graph Neural Networks, by Hiroki Kanezashi et al.
Ethereum Fraud Detection with Heterogeneous Graph Neural Networksby Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro…
Summary of Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in Cnns, by Xiaohan Ding et al.
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNsby Xiaohan Ding, Xiangyu…
Summary of Efficient Test-time Model Adaptation Without Forgetting, by Shuaicheng Niu and Jiaxiang Wu and Yifan Zhang and Yaofo Chen and Shijian Zheng and Peilin Zhao and Mingkui Tan
Efficient Test-Time Model Adaptation without Forgettingby Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian…
Summary of The Self-optimal-transport Feature Transform, by Daniel Shalam and Simon Korman
The Self-Optimal-Transport Feature Transformby Daniel Shalam, Simon KormanFirst submitted to arxiv on: 6 Apr 2022CategoriesMain:…
Summary of Learning Convolutional Neural Networks in the Frequency Domain, by Hengyue Pan and Yixin Chen and Xin Niu and Wenbo Zhou and Dongsheng Li
Learning Convolutional Neural Networks in the Frequency Domainby Hengyue Pan, Yixin Chen, Xin Niu, Wenbo…
Summary of Cross-view Transformers For Real-time Map-view Semantic Segmentation, by Brady Zhou et al.
Cross-view Transformers for real-time Map-view Semantic Segmentationby Brady Zhou, Philipp KrähenbühlFirst submitted to arxiv on:…
Summary of Adaptive Fairness-aware Online Meta-learning For Changing Environments, by Chen Zhao et al.
Adaptive Fairness-Aware Online Meta-Learning for Changing Environmentsby Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang,…