Thomas Elsken

According to our database1, Thomas Elsken authored at least 19 papers between 1997 and 2023.

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

2023
Neural Architecture Search for Dense Prediction Tasks in Computer Vision.
Int. J. Comput. Vis., July, 2023

Neural Architecture Search: Insights from 1000 Papers.
CoRR, 2023

Transfer NAS with Meta-learned Bayesian Surrogates.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision.
CoRR, 2022

2021
Efficient and practical neural architecture search.
PhD thesis, 2021

Bag of Tricks for Neural Architecture Search.
CoRR, 2021

Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization.
CoRR, 2021

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Automated design of error-resilient and hardware-efficient deep neural networks.
Neural Comput. Appl., 2020

Neural Ensemble Search for Performant and Calibrated Predictions.
CoRR, 2020

Understanding and Robustifying Differentiable Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Meta-Learning of Neural Architectures for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Neural Architecture Search: A Survey.
J. Mach. Learn. Res., 2019

Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution.
Proceedings of the 7th International Conference on Learning Representations, 2019

Neural Architecture Search.
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2018
Multi-objective Architecture Search for CNNs.
CoRR, 2018

Simple and efficient architecture search for Convolutional Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

1999
Smaller nets may perform better: special transfer functions.
Neural Networks, 1999

1997
Even on Finite Test Sets Smaller Nets may Perform Better.
Neural Networks, 1997


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