On the Reproducibility of Neural Network Predictions

On the Reproducibility of Neural Network Predictions

5 February 2021

Srinadh Bhojanapalli

Kimberly Wilber

Sanjiv Kumar

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Papers citing "On the Reproducibility of Neural Network Predictions"

18 / 18 papers shown

Title
Improving Chain-of-Thought Efficiency for Autoregressive Image Generation Zeqi Gu Markos Georgopoulos Xiaoliang Dai Marjan Ghazvininejad Chu Wang ... Zecheng He Zijian He Jiawei Zhou Abe Davis Jialiang Wang LRM 132 0 0 07 Oct 2025
Measuring and Mitigating Local Instability in Deep Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Arghya Datta Subhrangshu Nandi Jingcheng Xu Greg Ver Steeg He Xie Anoop Kumar Aram Galstyan 210 3 0 18 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational MeasuresACM Computing Surveys (ACM Comput. Surv.), 2023 Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 501 104 0 10 May 2023
Maintaining Stability and Plasticity for Predictive Churn Reduction George Adam B. Haibe-Kains Anna Goldenberg 193 1 0 06 May 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-ThresholdingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Chunyan Xiong Meng Lu Xiaotong Yu JIAN-PENG Cao Zhong Chen D. Guo X. Qu MLT 302 1 0 14 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and DistributionsInternational Conference on Learning Representations (ICLR), 2023 Keller Jordan OOD 344 19 0 04 Apr 2023
Measuring the Instability of Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yupei Du D. Nguyen 233 6 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 224 47 0 12 Sep 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 141 6 0 20 May 2022
Predicting on the Edge: Identifying Where a Larger Model Does Better Taman Narayan Heinrich Jiang Sen Zhao Surinder Kumar 163 7 0 15 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations G. Shamir Dong Lin HAI OffRL 163 8 0 14 Feb 2022
Reproducibility in Optimization: Theoretical Framework and LimitsNeural Information Processing Systems (NeurIPS), 2022 Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 233 25 0 09 Feb 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone DecompositionsInternational Conference on Machine Learning (ICML), 2022 Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 466 32 0 02 Feb 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure PerspectiveInternational Conference on Machine Learning (ICML), 2021 J.N. Zhang Haochuan Li S. Sra Ali Jadbabaie 206 13 0 12 Oct 2021
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument soundsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021 Xuan Shi Erica Cooper Junichi Yamagishi 161 9 0 24 Jul 2021
Assessing Generalization of SGD via DisagreementInternational Conference on Learning Representations (ICLR), 2021 Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 300 131 0 25 Jun 2021
Churn Reduction via DistillationInternational Conference on Learning Representations (ICLR), 2021 Heinrich Jiang Harikrishna Narasimhan Dara Bahri Andrew Cotter Afshin Rostamizadeh 225 18 0 04 Jun 2021
Synthesizing Irreproducibility in Deep Networks R. Snapp G. Shamir OOD 166 11 0 21 Feb 2021