1 code implementation • 3 Sep 2022 • Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen
However, these CL methods fail to be directly adapted to multi-label image classification due to the difficulty in defining the positive and negative instances to contrast a given anchor image in multi-label scenario, let the label missing one alone, implying that borrowing a commonly-used way from contrastive multi-class learning to define them will incur a lot of false negative instances unfavorable for learning.
no code implementations • ICLR 2018 • Lisha Li, Kevin Jamieson, Afshin Rostamizadeh, Katya Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
Modern machine learning models are characterized by large hyperparameter search spaces and prohibitively expensive training costs.
17 code implementations • 21 Mar 2016 • Lisha Li, Kevin Jamieson, Giulia Desalvo, Afshin Rostamizadeh, Ameet Talwalkar
Performance of machine learning algorithms depends critically on identifying a good set of hyperparameters.