Active Learning at the ImageNet Scale

Active Learning at the ImageNet Scale

25 November 2021

Ping Yeh-Chiang

Papers citing "Active Learning at the ImageNet Scale"

12 / 12 papers shown

Title
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 160 1 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 39 0 0 29 Mar 2024
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 37 0 0 07 Jul 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 26 20 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 51 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 13 0 0 28 Sep 2022
GALAXY: Graph-based Active Learning at the Extreme Jifan Zhang Julian Katz-Samuels Robert D. Nowak 24 31 0 03 Feb 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 255 4,781 0 24 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015