Summary of Toward Global Convergence Of Gradient Em For Over-parameterized Gaussian Mixture Models, by Weihang Xu et al.
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Modelsby Weihang Xu, Maryam Fazel,…
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Modelsby Weihang Xu, Maryam Fazel,…
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing modelby Xueying Long,…
A Bayesian Solution To The Imitation Gapby Risto Vuorio, Mattie Fellows, Cong Lu, ClĂ©mence Grislain,…
From Efficient Multimodal Models to World Models: A Surveyby Xinji Mai, Zeng Tao, Junxiong Lin,…
Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniquesby Abraham G Taye,…
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasksby Ibrahim Abdelaziz,…
Multi-Species Object Detection in Drone Imagery for Population Monitoring of Endangered Animalsby Sowmya SankaranFirst submitted…
A Simple Attention-Based Mechanism for Bimodal Emotion Classificationby Mazen Elabd, Sardar JafFirst submitted to arxiv…
RepAct: The Re-parameterizable Adaptive Activation Functionby Xian Wu, Qingchuan Tao, Shuang WangFirst submitted to arxiv…
Towards Secure and Efficient Data Scheduling for Vehicular Social Networksby Youhua Xia, Tiehua Zhang, Jiong…