Nondeterminism and Instability in Neural Network Optimization

8 March 2021

Papers citing "Nondeterminism and Instability in Neural Network Optimization"

10 / 10 papers shown

Title
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 58 64 0 10 May 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 24 11 0 04 Apr 2023
Measuring the Instability of Fine-Tuning Yupei Du D. Nguyen 27 4 0 15 Feb 2023
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 53 2 0 04 Dec 2022
Instability in clinical risk stratification models using deep learning D. Martinez A. Yakubovich Martin G. Seneviratne Á. Lelkes Akshit Tyagi ... N. L. Downing Ron C. Li Keith Morse N. Shah Ming-Jun Chen OOD 31 2 0 20 Nov 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 29 41 0 12 Sep 2022
Metrics reloaded: Recommendations for image analysis validation Lena Maier-Hein Annika Reinke Patrick Godau M. Tizabi Florian Buettner ... Aleksei Tiulpin Sotirios A. Tsaftaris Ben Van Calster Gaël Varoquaux Paul F. Jäger 34 217 0 03 Jun 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 54 94 0 30 May 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 40 5 0 20 May 2022
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 25 75 0 22 Jun 2021