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Volume 188: International Conference on Automated Machine Learning, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA
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Editors: Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett
Non-Uniform Adversarially Robust Pruning
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:1/1-16
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:2/1-24
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:3/1-39
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:4/1-16
Automated Super-Network Generation for Scalable Neural Architecture Search
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:5/1-15
Opening the Black Box: Automated Software Analysis for Algorithm Selection
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:6/1-18
Automatic Termination for Hyperparameter Optimization
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:7/1-21
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:8/1-17
Tackling Neural Architecture Search With Quality Diversity Optimization
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:9/1-30
A Tree-Structured Multi-Task Model Recommender
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:10/1-12
BERT-Sort: A Zero-shot MLM Semantic Encoder on Ordinal Features for AutoML
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:11/1-26
On the Optimality Gap of Warm-Started Hyperparameter Optimization
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:12/1-14
What to expect of hardware metric predictors in NAS
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:13/1-15
Bayesian Generational Population-Based Training
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:14/1-27
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:15/1-18
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:16/1-23
DIFER: Differentiable Automated Feature Engineering
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:17/1-17
When, where, and how to add new neurons to ANNs
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:18/1-12
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:19/1-18
Differentiable Architecture Search for Reinforcement Learning
; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:20/1-17
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