Summary of Boosting Deep Ensembles with Learning Rate Tuning, by Hongpeng Jin et al.
Boosting Deep Ensembles with Learning Rate Tuningby Hongpeng Jin, Yanzhao WuFirst submitted to arxiv on:…
Boosting Deep Ensembles with Learning Rate Tuningby Hongpeng Jin, Yanzhao WuFirst submitted to arxiv on:…
Exploring the design space of deep-learning-based weather forecasting systemsby Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris…
MEMS Gyroscope Multi-Feature Calibration Using Machine Learning Techniqueby Yaoyao Long, Zhenming Liu, Cong Hao, Farrokh…
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methodsby Lise Le Boudec, Emmanuel…
Dynamic metastability in the self-attention modelby Borjan Geshkovski, Hugo Koubbi, Yury Polyanskiy, Philippe RigolletFirst submitted…
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networksby Mathilde Papillon, Guillermo Bernárdez, Claudio…
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aidby Hemank Lamba, Anton Abilov,…
Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic tracesby Giovanni…
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsingby Mengze Hong, Di Jiang, Yuanfeng Song, Chen…
Unsupervised Model Diagnosisby Yinong Oliver Wang, Eileen Li, Jinqi Luo, Zhaoning Wang, Fernando De la…