Summary of On the Rates Of Convergence For Learning with Convolutional Neural Networks, by Yunfei Yang et al.
On the rates of convergence for learning with convolutional neural networksby Yunfei Yang, Han Feng,…
On the rates of convergence for learning with convolutional neural networksby Yunfei Yang, Han Feng,…
Determined Multi-Label Learning via Similarity-Based Promptby Meng Wei, Zhongnian Li, Peng Ying, Yong Zhou, Xinzheng…
AKBR: Learning Adaptive Kernel-based Representations for Graph Classificationby Feifei Qian, Lixin Cui, Ming Li, Yue…
SSHPool: The Separated Subgraph-based Hierarchical Poolingby Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Ziyu…
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networksby Hongyin ZhuFirst submitted to arxiv on: 24…
Data-centric Prediction Explanation via Kernelized Stein Discrepancyby Mahtab Sarvmaili, Hassan Sajjad, Ga WuFirst submitted to…
Group Benefits Instances Selection for Data Purificationby Zhenhuang Cai, Chuanyi Zhang, Dan Huang, Yuanbo Chen,…
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs,…
A Three-Phases SFT Hybrid Model Integrated Strong Prior Module and Data Overlap Estimation in the…
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streamsby Cristiano Mesquita Garcia, Alessandro Lameiras Koerich,…