On the Reproducibility of Neural Network Predictions

5 February 2021

Srinadh Bhojanapalli

Sanjiv Kumar

Papers citing "On the Reproducibility of Neural Network Predictions"

24 / 24 papers shown

Title
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 121 17 0 27 Nov 2024
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 52 0 0 02 Oct 2023
Transferring Learning Trajectories of Neural Networks Daiki Chijiwa 23 2 0 23 May 2023
Measuring and Mitigating Local Instability in Deep Neural Networks Arghya Datta Subhrangshu Nandi Jingcheng Xu Greg Ver Steeg He Xie Anoop Kumar Aram Galstyan 20 3 0 18 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 52 64 0 10 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction George Adam B. Haibe-Kains Anna Goldenberg 23 1 0 06 May 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding Chunyan Xiong Meng Lu Xiaotong Yu JIAN-PENG Cao Zhong Chen D. Guo X. Qu MLT 37 0 0 14 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 21 10 0 04 Apr 2023
Measuring the Instability of Fine-Tuning Yupei Du D. Nguyen 20 4 0 15 Feb 2023
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 23 41 0 12 Sep 2022
Quantifying Inherent Randomness in Machine Learning Algorithms Soham Raste Rahul Singh J. Vaughan V. Nair 44 9 0 24 Jun 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 40 5 0 20 May 2022
Predicting on the Edge: Identifying Where a Larger Model Does Better Taman Narayan Heinrich Jiang Sen Zhao Surinder Kumar 23 7 0 15 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations G. Shamir Dong Lin HAI OffRL 25 6 0 14 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 19 22 0 09 Feb 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 77 30 0 02 Feb 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective Ji Zhang Haochuan Li S. Sra Ali Jadbabaie 66 9 0 12 Oct 2021
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds Xuan Shi Erica Cooper Junichi Yamagishi 24 7 0 24 Jul 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 59 108 0 25 Jun 2021
Churn Reduction via Distillation Heinrich Jiang Harikrishna Narasimhan Dara Bahri Andrew Cotter Afshin Rostamizadeh 27 15 0 04 Jun 2021
Synthesizing Irreproducibility in Deep Networks R. Snapp G. Shamir OOD 22 10 0 21 Feb 2021
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 192 473 0 12 Jun 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016