Summary of Iot-based 3d Pose Estimation and Motion Optimization For Athletes: Application Of C3d and Openpose, by Fei Ren et al.
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPoseby Fei…
Summary of A Regularized Lstm Method For Detecting Fake News Articles, by Tanjina Sultana Camelia et al.
A Regularized LSTM Method for Detecting Fake News Articlesby Tanjina Sultana Camelia, Faizur Rahman Fahim,…
Summary of Large Language Models For Constructing and Optimizing Machine Learning Workflows: a Survey, by Yang Gu et al.
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Surveyby Yang Gu, Hengyu…
Summary of Stability and Generalization For Distributed Sgda, by Miaoxi Zhu et al.
Stability and Generalization for Distributed SGDAby Miaoxi Zhu, Yan Sun, Li Shen, Bo Du, Dacheng…
Summary of Rethinking Structure Learning For Graph Neural Networks, by Yilun Zheng et al.
Rethinking Structure Learning For Graph Neural Networksby Yilun Zheng, Zhuofan Zhang, Ziming Wang, Xiang Li,…
Summary of Efficient Adaptive Optimization Via Subset-norm and Subspace-momentum: Fast, Memory-reduced Training with Convergence Guarantees, by Thien Hang Nguyen et al.
Efficient Adaptive Optimization via Subset-Norm and Subspace-Momentum: Fast, Memory-Reduced Training with Convergence Guaranteesby Thien Hang…
Summary of Scientific Machine Learning in Ecological Systems: a Study on the Predator-prey Dynamics, by Ranabir Devgupta et al.
Scientific machine learning in ecological systems: A study on the predator-prey dynamicsby Ranabir Devgupta, Raj…
Summary of Towards Equitable Asd Diagnostics: a Comparative Study Of Machine and Deep Learning Models Using Behavioral and Facial Data, by Mohammed Aledhari et al.
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral…
Summary of Continuous-time Analysis Of Adaptive Optimization and Normalization, by Rhys Gould et al.
Continuous-Time Analysis of Adaptive Optimization and Normalizationby Rhys Gould, Hidenori TanakaFirst submitted to arxiv on:…
Summary of Theoretically Informed Selection Of Latent Activation in Autoencoder Based Recommender Systems, by Aviad Susman
Theoretically informed selection of latent activation in autoencoder based recommender systemsby Aviad SusmanFirst submitted to…