Active Learning at the ImageNet Scale

25 November 2021

Papers citing "Active Learning at the ImageNet Scale"

9 / 9 papers shown

Title
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 77 0 0 10 Nov 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 29 0 0 29 Mar 2024
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 22 0 0 07 Jul 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 13 18 0 14 Feb 2023
Is margin all you need? An extensive empirical study of active learning on tabular data Dara Bahri Heinrich Jiang Tal Schuster Afshin Rostamizadeh LMTD 30 10 0 07 Oct 2022
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data Yuqi Zhu M. Tnani Timo Jahnz Klaus Diepold 9 0 0 28 Sep 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015