Towards Inferential Reproducibility of Machine Learning Research

8 February 2023

Papers citing "Towards Inferential Reproducibility of Machine Learning Research"

8 / 8 papers shown

Title
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 47 76 0 22 Jun 2021
Accounting for Variance in Machine Learning Benchmarks Xavier Bouthillier Pierre Delaunay Mirko Bronzi Assya Trofimov Brennan Nichyporuk ... Dmitriy Serdyuk Tal Arbel C. Pal Gaël Varoquaux Pascal Vincent 53 149 0 01 Mar 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 97 681 0 06 Nov 2020
The Scientific Method in the Science of Machine Learning Jessica Zosa Forde Michela Paganini 30 35 0 24 Apr 2019
Competence-based Curriculum Learning for Neural Machine Translation Emmanouil Antonios Platanios Otilia Stretcu Graham Neubig Barnabás Póczós Tom Michael Mitchell 47 340 0 23 Mar 2019
A Call for Clarity in Reporting BLEU Scores Matt Post 81 2,941 0 23 Apr 2018
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets Rotem Dror G. Baumer Marina Bogomolov Roi Reichart 39 77 0 27 Sep 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 98 1,940 0 19 Sep 2017