Prabhu Teja Sivaprasad

According to our database, Prabhu Teja Sivaprasad authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Choice of Learning Rate for Local SGD.

Lukas Balles, Prabhu Teja Sivaprasad, Cédric Archambeau

Trans. Mach. Learn. Res., 2024

Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need.

Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella

CoRR, 2024

2023

Continual Learning with Low Rank Adaptation.

Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella

CoRR, 2023

2022

PAUMER: Patch Pausing Transformer for Semantic Segmentation.

Evann Courdier, Prabhu Teja Sivaprasad, François Fleuret

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Test time Adaptation through Perturbation Robustness.

Prabhu Teja Sivaprasad, François Fleuret

CoRR, 2021

Uncertainty Reduction for Model Adaptation in Semantic Segmentation.

Prabhu Teja Sivaprasad, François Fleuret

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning.

Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

On the Tunability of Optimizers in Deep Learning.

Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret

CoRR, 2019