Papers accepted to ICLR 2021

We are happy to announce that the following papers were accepted to this year’s International Conference on Learning Representations (ICLR 2021):

• “On Self-Supervised Image Representations for GAN Evaluation” by Stanislav Morozov, Andrey Voynov, Artem Babenko
• “Boost then Convolve: Gradient Boosting Meets Graph Neural Networks” by Sergei Ivanov, Liudmila Prokhorenkova
• “Uncertainty in Gradient Boosting via Ensembles” by Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko
• “Uncertainty Estimation in Autoregressive Structured Prediction” by Andrey Malinin, Mark Gales