Disentangling Model Multiplicity in Deep Learning

17 June 2022

Papers citing "Disentangling Model Multiplicity in Deep Learning"

6 / 6 papers shown

Title
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 61 2 0 28 Jan 2025
On Hardware-efficient Inference in Probabilistic Circuits Lingyun Yao Martin Trapp Jelin Leslin Gaurav Singh Peng Zhang Karthekeyan Periasamy M. Andraud TPM 28 0 0 22 May 2024
Algorithmic Arbitrariness in Content Moderation Juan Felipe Gomez Caio Vieira Machado Lucas Monteiro Paes Flavio du Pin Calmon 36 9 0 26 Feb 2024
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 255 316 0 11 Sep 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016