Arlind Kadra

According to our database1, Arlind Kadra authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Tabular Data: Is Attention All You Need?
CoRR, 2024

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Breaking the Paradox of Explainable Deep Learning.
CoRR, 2023

Deep Power Laws for Hyperparameter Optimization.
CoRR, 2023

Scaling Laws for Hyperparameter Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Dynamic and Efficient Gray-Box Hyperparameter Optimization for Deep Learning.
CoRR, 2022

Supervising the Multi-Fidelity Race of Hyperparameter Configurations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
OpenML-Python: an extensible Python API for OpenML.
J. Mach. Learn. Res., 2021

Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data.
CoRR, 2021

Well-tuned Simple Nets Excel on Tabular Datasets.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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