Improving Reproducibility in Machine Learning Research (A Report from
the NeurIPS 2019 Reproducibility Program)

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

27 March 2020

Philippe Vincent-Lamarre

Florence dÁlché-Buc

Hugo Larochelle

Papers citing "Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)"

10 / 60 papers shown

Title
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 76 0 05 Aug 2021
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors Vishnu Banna Akhil Chinnakotla Zhengxin Yan Anirudh Vegesana Naveen Vivek Kruthi Krishnappa Wenxin Jiang Yung-Hsiang Lu George K. Thiruvathukal James C. Davis VLM 30 14 0 02 Jul 2021
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 31 55 0 26 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 37 65 0 23 Jun 2021
Perspectives on Machine Learning from Psychology's Reproducibility Crisis Samuel J. Bell Onno P. Kampman 25 15 0 18 Apr 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions Jennifer J. Sun Tomomi Karigo Dipam Chakraborty Sharada Mohanty Benjamin Wild ... Chen Chen D. Anderson Pietro Perona Yisong Yue Ann Kennedy 36 48 0 06 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 47 181 0 01 Apr 2021
Reproducibility in Evolutionary Computation Manuel López-Ibánez Juergen Branke L. Paquete 13 31 0 05 Feb 2021
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney Kushal Kafle Robik Shrestha Ehsan Abbasnejad Christopher Kanan Anton Van Den Hengel OODD OOD 33 145 0 19 May 2020