Summary of Some Best Practices in Operator Learning, by Dustin Enyeart and Guang Lin
Some Best Practices in Operator Learningby Dustin Enyeart, Guang LinFirst submitted to arxiv on: 9…
Summary of Batchtopk Sparse Autoencoders, by Bart Bussmann et al.
BatchTopK Sparse Autoencodersby Bart Bussmann, Patrick Leask, Neel NandaFirst submitted to arxiv on: 9 Dec…
Summary of Nonmyopic Global Optimisation Via Approximate Dynamic Programming, by Filippo Airaldi et al.
Nonmyopic Global Optimisation via Approximate Dynamic Programmingby Filippo Airaldi, Bart De Schutter, Azita DabiriFirst submitted…
Summary of Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning, by Yiran Wang et al.
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learningby Yiran Wang, Chenshu Liu, Yunfan Li, Sanae…
Summary of Hyperparameter Tuning Through Pessimistic Bilevel Optimization, by Meltem Apaydin Ustun et al.
Hyperparameter Tuning Through Pessimistic Bilevel Optimizationby Meltem Apaydin Ustun, Liang Xu, Bo Zeng, Xiaoning QianFirst…
Summary of Beyond Algorithm Hyperparameters: on Preprocessing Hyperparameters and Associated Pitfalls in Machine Learning Applications, by Christina Sauer et al.
Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applicationsby Christina Sauer,…
Summary of Scaling Law For Language Models Training Considering Batch Size, by Xian Shuai et al.
Scaling Law for Language Models Training Considering Batch Sizeby Xian Shuai, Yiding Wang, Yimeng Wu,…
Summary of Explainable Fault and Severity Classification For Rolling Element Bearings Using Kolmogorov-arnold Networks, by Spyros Rigas et al.
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksby Spyros Rigas, Michalis…
Summary of Initialization Using Update Approximation Is a Silver Bullet For Extremely Efficient Low-rank Fine-tuning, by Kaustubh Ponkshe et al.
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuningby Kaustubh Ponkshe,…
Summary of Exponential Moving Average Of Weights in Deep Learning: Dynamics and Benefits, by Daniel Morales-brotons et al.
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefitsby Daniel Morales-Brotons, Thijs Vogels,…