Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise

16 October 2020

Papers citing "Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise"

4 / 4 papers shown

Title
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees M. Ponti L. Oliveira Mathias Esteban Valentina Garcia J. Román Luis Argerich TDI 22 4 0 20 Oct 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses Alexander Veicht Cédric Renggli Diogo Barradas AAML 25 7 0 08 Mar 2022
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 26 23 0 13 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,469 0 23 Jan 2020