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Volume 256: International Conference on Automated Machine Learning, 9-12 September 2024, Sorbonne Université, Paris, France
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Editors: Katharina Eggensperger, Roman Garnett, Joaquin Vanschoren, Marius Lindauer, Jacob R. Gardner
Is Mamba Capable of In-Context Learning?
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:1/1-26
HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:2/1-24
Speeding up NAS with Adaptive Subset Selection
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:3/1-23
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:4/1-14
Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:5/1-33
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:6/1-26
Improving Transfer Learning by means of Ensemble Learning and Swarm Intelligence-based Neuroevolution
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:7/1-25
Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:8/1-21
Don’t Waste Your Time: Early Stopping Cross-Validation
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:9/1-31
Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:10/1-20
ASML: A Scalable and Efficient AutoML Solution for Data Streams
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:11/1-26
Weight-Entanglement Meets Gradient-Based Neural Architecture Search
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:12/1-25
Training and Cross-Validating Machine Learning Pipelines with Limited Memory
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:13/1-25
Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:14/1-18
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:15/1-35
Automated Deep Learning for load forecasting
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:16/1-28
Introducing HoNCAML: Holistic No-Code Auto Machine Learning
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:17/1-27
HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:18/1-31
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
; Proceedings of the Third International Conference on Automated Machine Learning, PMLR 256:19/1-30
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