Summary of Trajectory-based Multi-objective Hyperparameter Optimization For Model Retraining, by Wenyu Wang et al.
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retrainingby Wenyu Wang, Zheyi Fan, Szu Hui NgFirst submitted…
Summary of Don’t Waste Your Time: Early Stopping Cross-validation, by Edward Bergman et al.
Don’t Waste Your Time: Early Stopping Cross-Validationby Edward Bergman, Lennart Purucker, Frank HutterFirst submitted to…
Summary of Scalable Bayesian Inference in the Era Of Deep Learning: From Gaussian Processes to Deep Neural Networks, by Javier Antoran
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural…
Summary of Uncertainty Quantification For Iterative Algorithms in Linear Models with Application to Early Stopping, by Pierre C. Bellec and Kai Tan
Uncertainty quantification for iterative algorithms in linear models with application to early stoppingby Pierre C.…
Summary of Post-hoc Reversal: Are We Selecting Models Prematurely?, by Rishabh Ranjan et al.
Post-Hoc Reversal: Are We Selecting Models Prematurely?by Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin,…
Summary of Convergence Of Continuous Normalizing Flows For Learning Probability Distributions, by Yuan Gao et al.
Convergence of Continuous Normalizing Flows for Learning Probability Distributionsby Yuan Gao, Jian Huang, Yuling Jiao,…
Summary of Tackling Noisy Labels with Network Parameter Additive Decomposition, by Jingyi Wang et al.
Tackling Noisy Labels with Network Parameter Additive Decompositionby Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao…
Summary of Fedspu: Personalized Federated Learning For Resource-constrained Devices with Stochastic Parameter Update, by Ziru Niu et al.
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Updateby Ziru Niu, Hai Dong,…
Summary of Tune Without Validation: Searching For Learning Rate and Weight Decay on Training Sets, by Lorenzo Brigato and Stavroula Mougiakakou
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Setsby Lorenzo Brigato,…
Summary of Improve Generalization Ability Of Deep Wide Residual Network with a Suitable Scaling Factor, by Songtao Tian et al.
Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factorby Songtao Tian,…