Summary of Advancing Rvfl Networks: Robust Classification with the Hawkeye Loss Function, by Mushir Akhtar et al.
Advancing RVFL networks: Robust classification with the HawkEye loss functionby Mushir Akhtar, Ritik Mishra, M.…
Summary of Frequency-adaptive Multi-scale Deep Neural Networks, by Jizu Huang et al.
Frequency-adaptive Multi-scale Deep Neural Networksby Jizu Huang, Rukang You, Tao ZhouFirst submitted to arxiv on:…
Summary of Linear Projections Of Teacher Embeddings For Few-class Distillation, by Noel Loo et al.
Linear Projections of Teacher Embeddings for Few-Class Distillationby Noel Loo, Fotis Iliopoulos, Wei Hu, Erik…
Summary of Knowledge Graph Embedding by Normalizing Flows, By Changyi Xiao et al.
Knowledge Graph Embedding by Normalizing Flowsby Changyi Xiao, Xiangnan He, Yixin CaoFirst submitted to arxiv…
Summary of Continuous-time Linear Positional Embedding For Irregular Time Series Forecasting, by Byunghyun Kim and Jae-gil Lee
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecastingby Byunghyun Kim, Jae-Gil LeeFirst submitted to…
Summary of Unified Gradient-based Machine Unlearning with Remain Geometry Enhancement, by Zhehao Huang et al.
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancementby Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran…
Summary of Embed and Emulate: Contrastive Representations For Simulation-based Inference, by Ruoxi Jiang et al.
Embed and Emulate: Contrastive representations for simulation-based inferenceby Ruoxi Jiang, Peter Y. Lu, Rebecca WillettFirst…
Summary of Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings, by Konstantinos Pantazis et al.
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddingsby Konstantinos Pantazis, Michael Trosset, William N.…
Summary of On the Impact Of Feature Heterophily on Link Prediction with Graph Neural Networks, by Jiong Zhu et al.
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networksby Jiong Zhu,…
Summary of Consistent Estimation Of Generative Model Representations in the Data Kernel Perspective Space, by Aranyak Acharyya and Michael W. Trosset and Carey E. Priebe and Hayden S. Helm
Consistent estimation of generative model representations in the data kernel perspective spaceby Aranyak Acharyya, Michael…