Summary of Variational Stochastic Gradient Descent For Deep Neural Networks, by Haotian Chen et al.
Variational Stochastic Gradient Descent for Deep Neural Networksby Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub…
Variational Stochastic Gradient Descent for Deep Neural Networksby Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub…
Lecture notes on rough paths and applications to machine learningby Thomas Cass, Cristopher SalviFirst submitted…
MoReVQA: Exploring Modular Reasoning Models for Video Question Answeringby Juhong Min, Shyamal Buch, Arsha Nagrani,…
Spatially Optimized Compact Deep Metric Learning Model for Similarity Searchby Md. Farhadul Islam, Md. Tanzim…
Federated learning model for predicting major postoperative complicationsby Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan…
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbationsby Jane Dwivedi-Yu, Raaz…
Toward Cross-Layer Energy Optimizations in AI Systemsby Jae-Won Chung, Nishil Talati, Mosharaf ChowdhuryFirst submitted to…
Forecasting the Future with Future Technologies: Advancements in Large Meteorological Modelsby Hailong Shu, Yue Wang,…
Causal Unit Selection using Tractable Arithmetic Circuitsby Haiying Huang, Adnan DarwicheFirst submitted to arxiv on:…
Topological Feature Search Method for Multichannel EEG: Application in ADHD classificationby Tianming Cai, Guoying Zhao,…