Summary of Federated Impression For Learning with Distributed Heterogeneous Data, by Atrin Arya et al.
Federated Impression for Learning with Distributed Heterogeneous Databy Atrin Arya, Sana Ayromlou, Armin Saadat, Purang…
Summary of Convergence Of Continuous-time Stochastic Gradient Descent with Applications to Linear Deep Neural Networks, by Gabor Lugosi and Eulalia Nualart
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networksby Gabor Lugosi,…
Summary of Manifold Learning Via Foliations and Knowledge Transfer, by E. Tron et al.
Manifold Learning via Foliations and Knowledge Transferby E. Tron, E. FioresiFirst submitted to arxiv on:…
Summary of Multi-modal Instruction-tuning Small-scale Language-and-vision Assistant For Semiconductor Electron Micrograph Analysis, by Sakhinana Sagar Srinivas et al.
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysisby Sakhinana Sagar Srinivas, Geethan Sannidhi,…
Summary of Tuning-free Online Robust Principal Component Analysis Through Implicit Regularization, by Lakshmi Jayalal et al.
Tuning-Free Online Robust Principal Component Analysis through Implicit Regularizationby Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal KalyaniFirst…
Summary of A Unified Contrastive Loss For Self-training, by Aurelien Gauffre et al.
A Unified Contrastive Loss for Self-Trainingby Aurelien Gauffre, Julien Horvat, Massih-Reza AminiFirst submitted to arxiv…
Summary of Three-dimensional, Multimodal Synchrotron Data For Machine Learning Applications, by Calum Green et al.
Three-Dimensional, Multimodal Synchrotron Data for Machine Learning Applicationsby Calum Green, Sharif Ahmed, Shashidhara Marathe, Liam…
Summary of Current Symmetry Group Equivariant Convolution Frameworks For Representation Learning, by Ramzan Basheer and Deepak Mishra
Current Symmetry Group Equivariant Convolution Frameworks for Representation Learningby Ramzan Basheer, Deepak MishraFirst submitted to…
Summary of Learning Personalized Scoping For Graph Neural Networks Under Heterophily, by Gangda Deng et al.
Learning Personalized Scoping for Graph Neural Networks under Heterophilyby Gangda Deng, Hongkuan Zhou, Rajgopal Kannan,…
Summary of What Is the Right Notion Of Distance Between Predict-then-optimize Tasks?, by Paula Rodriguez-diaz et al.
What is the Right Notion of Distance between Predict-then-Optimize Tasks?by Paula Rodriguez-Diaz, Lingkai Kong, Kai…