Arber Zela

Orcid: 0000-0003-4731-1511

According to our database1, Arber Zela authored at least 26 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Ensembling Finetuned Language Models for Text Classification.
CoRR, 2024

GAMformer: In-Context Learning for Generalized Additive Models.
CoRR, 2024

Dynamic Post-Hoc Neural Ensemblers.
CoRR, 2024

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models.
CoRR, 2024

Multi-objective Differentiable Neural Architecture Search.
CoRR, 2024

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

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

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multi-headed Neural Ensemble Search.
CoRR, 2021

Bag of Tricks for Neural Architecture Search.
CoRR, 2021

How Powerful are Performance Predictors in Neural Architecture Search?
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

How Powerful are Performance Predictors in Neural Architecture Search?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.
CoRR, 2020

NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.
CoRR, 2020

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

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

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

2019
AutoDispNet: Improving Disparity Estimation With AutoML.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search.
CoRR, 2018


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