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Our AutoML Conference 2024 Publications

Methods Track

Sukthanker, Rhea Sanjay; Krishnakumar, Arjun; Safari, Mahmoud; Hutter, Frank

Weight-Entanglement Meets Gradient-Based Neural Architecture Search Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024.

Grazzi, Riccardo; Siems, Julien; Schrodi, Simon; Brox, Thomas; Hutter, Frank

Is Mamba Capable of In-Context Learning? Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024.

Bergman, Eddie; Purucker, Lennart; Hutter, Frank

Don’t Waste Your Time: Early Stopping Cross-Validation Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024.

ABCD Track

Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif

HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024, (Runner up for the best paper award).

Salinas, David; Erickson, Nick

TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024.

Watanabe, Shuhei; Mallik, Neeratyoy; Bergman, Edward; Hutter, Frank

Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024.

Workshop Track

Bordne, Philipp; Hasan, M. Asif; Bergman, Eddie; Awad, Noor; Biedenkapp, André

CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Strack, Lukas; Safari, Mahmoud; Hutter, Frank

Towards Efficient Search for Customized Activation Functions With Gradient Descent Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Geburek, Anton Merlin; Mallik, Neeratyoy; Stoll, Danny; Bouthillier, Xavier; Hutter, Frank

LMEMs for post-hoc analysis of HPO Benchmarking Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Robertson, Jake; Hollmann, Noah; Awad, Noor; Hutter, Frank

FairPFN: Transformers Can do Counterfactual Fairness Conference

Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Rapant, Ivo; Purucker, Lennart; Ferreira, Fabio; Arango, Sebastian Pineda; Kadra, Arlind; Grabocka, Josif; Hutter, Frank

Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Karakasli, Goktug; Adriaensen, Steven; Hutter, Frank

NOSBench-101: Towards Reproducible Neural Optimizer Search Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Helli, Kai; Schnurr, David; Hollmann, Noah; Müller, Samuel; Hutter, Frank

Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Carstensen, Timur; Elsken, Thomas; Rapp, Martin

In-Context Learning for Latency Estimation Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Krishnakumar, Arjun; Jha, Abhash Kumar; Moradian, Shakiba; Rapp, Martin; Hutter, Frank

LoRA-DARTS: Low Rank Adaptation for Differentiable Architecture Search Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Rakotoarison, Herilalaina; Adriaensen, Steven; Mallik, Neeratyoy; Garibov, Samir; Bergman, Edward; Hutter, Frank

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Viering, Tom Julian; Adriaensen, Steven; Rakotoarison, Herilalaina; Hutter, Frank

From Epoch to Sample Size: Developing New Data-driven Priors for Learning Curve Prior-Fitted Networks Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Birinxhiku, Lum; Stoll, Danny; Schrodi, Simon; Hutter, Frank

Beyond Graph-Based Modeling for Hierarchical Neural Architecture Search Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Blauth, Simon; Bürger, Tobias; Häringer, Zacharias; Franke, Jörg K. H.; Hutter, Frank

Fast Optimizer Benchmark Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Maier, Jannis; Möller, Felix; Purucker, Lennart

Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.