PDF] Reproducibility via Crowdsourced Reverse Engineering: A

Por um escritor misterioso

Descrição

The significant success of reverse-engineering the important accomplishments of DeepMind's Alpha Zero exemplifies the leverage that can be achieved by a concerted effort to reproduce results. The reproducibility of scientific findings are an important hallmark of quality and integrity in research. The scientific method requires hypotheses to be subjected to the most crucial tests, and for the results to be consistent across independent trials. Therefore, a publication is expected to provide sufficient information for an objective evaluation of its methods and claims. This is particularly true for research supported by public funds, where transparency of findings are a form of return on public investment. Unfortunately, many publications fall short of this mark for various reasons, including unavoidable ones such as intellectual property protection and national security of the entity creating those findings. This is a particularly important and documented problem in medical research, and in machine learning. Fortunately for those seeking to overcome these difficulties, the internet makes it easier to share experiments, and allows for crowd-sourced reverse engineering. A case study of this capability in neural networks research is presented in this paper. The significant success of reverse-engineering the important accomplishments of DeepMind's Alpha Zero exemplifies the leverage that can be achieved by a concerted effort to reproduce results.

PDF] Reproducibility via Crowdsourced Reverse Engineering: A

The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

Assessment of network module identification across complex diseases

BARABASI LAB · SCIENCE · PUBLICATIONS

PDF) Crowdsource Drone Imagery – A Powerful Source for the 3D Documentation of Cultural Heritage at Risk

PDF) European Handbook of Crowdsourced Geographic Information

PDF) Exploring Crowdsourced Reverse Engineering

Crowdsourcing in Cognitive and Systems Neuroscience - Brian P. Johnson, Eran Dayan, Nitzan Censor, Leonardo G. Cohen, 2022

Accelerating antiviral drug discovery: lessons from COVID-19

Explainable Deep Learning-Assisted Photochromic Sensor for β-Lactam Antibiotic Identification

de por adulto (o preço varia de acordo com o tamanho do grupo)

PDF] Reproducibility via Crowdsourced Reverse Engineering: A

Sugerir pesquisas

você pode gostar