Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. - Arber Zela; Aaron Klein; Stefan Falkner; Frank Hutter (CoRR, 2018)

AutoDispNet: Improving Disparity Estimation With AutoML. - Tonmoy Saikia; Yassine Marrakchi; Arber Zela; Frank Hutter; Thomas Brox (ICCV, 2019)

Understanding and Robustifying Differentiable Architecture Search. - Arber Zela; Thomas Elsken; Tonmoy Saikia; Yassine Marrakchi; Thomas Brox; Frank Hutter (ICLR, 2020)

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search. - Arber Zela; Julien Siems; Frank Hutter (ICLR, 2020)

Neural Ensemble Search for Performant and Calibrated Predictions. - Sheheryar Zaidi; Arber Zela; Thomas Elsken; Chris C. Holmes; Frank Hutter; Yee Whye Teh (CoRR, 2020)

NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. - Julien Siems; Lucas Zimmer; Arber Zela; Jovita Lukasik; Margret Keuper; Frank Hutter (CoRR, 2020)

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. - Jovita Lukasik; David Friede; Arber Zela; Heiner Stuckenschmidt; Frank Hutter; Margret Keuper (CoRR, 2020)

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. - Jovita Lukasik; David Friede; Arber Zela; Frank Hutter; Margret Keuper (IJCNN, 2021)

How Powerful are Performance Predictors in Neural Architecture Search? - Colin White; Arber Zela; Robin Ru; Yang Liu; Frank Hutter (NeurIPS, 2021)

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift. - Sheheryar Zaidi; Arber Zela; Thomas Elsken; Chris C. Holmes; Frank Hutter; Yee Whye Teh (NeurIPS, 2021)

How Powerful are Performance Predictors in Neural Architecture Search? - Colin White; Arber Zela; Binxin Ru; Yang Liu; Frank Hutter (CoRR, 2021)

Bag of Tricks for Neural Architecture Search. - Thomas Elsken; Benedikt Staffler; Arber Zela; Jan Hendrik Metzen; Frank Hutter (CoRR, 2021)

Multi-headed Neural Ensemble Search. - Ashwin Raaghav Narayanan; Arber Zela; Tonmoy Saikia; Thomas Brox; Frank Hutter (CoRR, 2021)

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. - Zhengying Liu; Adrien Pavao; Zhen Xu 007; Sergio Escalera; Fabio Ferreira; Isabelle Guyon; Sirui Hong; Frank Hutter; Rongrong Ji; Júlio C. S. Jacques Júnior; Ge Li; Marius Lindauer; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. - Yash Mehta; Colin White; Arber Zela; Arjun Krishnakumar; Guri Zabergja; Shakiba Moradian; Mahmoud Safari; Kaicheng Yu; Frank Hutter (ICLR, 2022)

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks. - Arber Zela; Julien Niklas Siems; Lucas Zimmer; Jovita Lukasik; Margret Keuper; Frank Hutter (ICLR, 2022)

JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search. - Archit Bansal; Danny Stoll; Maciej Janowski; Arber Zela; Frank Hutter (NeurIPS, 2022)

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. - Arjun Krishnakumar; Colin White; Arber Zela; Renbo Tu; Mahmoud Safari; Frank Hutter (NeurIPS, 2022)

Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - Thomas Elsken; Arber Zela; Jan Hendrik Metzen; Benedikt Staffler; Thomas Brox; Abhinav Valada; Frank Hutter (CoRR, 2022)

Neural Architecture Search: Insights from 1000 Papers. - Colin White; Mahmoud Safari; Rhea Sukthanker; Binxin Ru; Thomas Elsken; Arber Zela; Debadeepta Dey; Frank Hutter (CoRR, 2023)

Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - Rohit Mohan; Thomas Elsken; Arber Zela; Jan Hendrik Metzen; Benedikt Staffler; Thomas Brox; Abhinav Valada; Frank Hutter (Int. J. Comput. Vis., 2023)

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. - Rhea Sukthanker; Arber Zela; Benedikt Staffler; Aaron Klein; Lennart Purucker; Jörg K. H. Franke; Frank Hutter (NeurIPS, 2024)

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. - Rhea Sanjay Sukthanker; Arber Zela; Benedikt Staffler; Jörg K. H. Franke; Frank Hutter (CoRR, 2024)

Dynamic Post-Hoc Neural Ensemblers. - Sebastian Pineda-Arango; Maciej Janowski; Lennart Purucker; Arber Zela; Frank Hutter; Josif Grabocka (CoRR, 2024)

GAMformer: In-Context Learning for Generalized Additive Models. - Andreas Mueller; Julien Siems; Harsha Nori; David Salinas; Arber Zela; Rich Caruana; Frank Hutter (CoRR, 2024)

Ensembling Finetuned Language Models for Text Classification. - Sebastian Pineda-Arango; Maciej Janowski; Lennart Purucker; Arber Zela; Frank Hutter; Josif Grabocka (CoRR, 2024)

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues. - Riccardo Grazzi; Julien Siems; Arber Zela; Jörg K. H. Franke; Frank Hutter; Massimiliano Pontil (ICLR, 2025)

Multi-objective Differentiable Neural Architecture Search. - Rhea Sanjay Sukthanker; Arber Zela; Benedikt Staffler; Samuel Dooley; Josif Grabocka; Frank Hutter (ICLR, 2025)

DeltaProduct: Increasing the Expressivity of DeltaNet Through Products of Householders. - Julien Siems; Timur Carstensen; Arber Zela; Frank Hutter; Massimiliano Pontil; Riccardo Grazzi (CoRR, 2025)

Improving LLM-based Global Optimization with Search Space Partitioning. - Andrej Schwanke; Lyubomir Ivanov; David Salinas; Fabio Ferreira; Aaron Klein; Frank Hutter; Arber Zela (CoRR, 2025)