Making Risk Minimization Tolerant to Label Noise

14 March 2014

Papers citing "Making Risk Minimization Tolerant to Label Noise"

7 / 7 papers shown

Title
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 94 1 0 27 Feb 2025
LLM-Powered Preference Elicitation in Combinatorial Assignment Ermis Soumalias Yanchen Jiang Kehang Zhu Michael J. Curry Sven Seuken David C. Parkes 79 0 0 14 Feb 2025
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 79 2 0 29 May 2024
Learning Deep Networks from Noisy Labels with Dropout Regularization Ishan Jindal M. Nokleby Xuewen Chen NoLa 47 184 0 09 May 2017
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 67 243 0 05 Mar 2013
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 130 273 0 24 Sep 2011
Identifying Mislabeled Training Data C. Brodley M. Friedl 88 968 0 01 Jun 2011