TiDAL: Learning Training Dynamics for Active Learning

• Accepted to ICCV 2023
• https://arxiv.org/abs/2210.06788
• This repository is the official implementation by the authors.
• Watch our poster, slides, or the 5 minute video presentation of this paper for more details.

Prerequisites:

• Linux or macOS
• Python 3.10
• CPU compatible but NVIDIA GPU + CUDA CuDNN is highly recommended.

Installation

Install required Python packages

pip install requirements.txt

Running code

To train the model(s) and evaluate in the paper, run this command:

python main.py -d cifar10 -i 1 -m TiDAL -q Entropy