Accepted Papers

• Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks

Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alex M. Bronstein and Avi Mendelson

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• Random Search and Reproducibility for Neural Architecture Search

Liam Li and Ameet Talwalkar

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• A simple dynamic bandit algorithm for hyper-parameter tuning

Xuedong Shang, Emilie Kaufmann and Michal Valko

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• Alpha MAML: Adaptive Model-Agnostic Meta-Learning

Harkirat Singh Behl, Atılım Güneş Baydin and Philip Torr

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• MFITS: Bayesian active learning with support for continuous fidelity parameters and variable cost

Nicolas Knudde, Ivo Couckuyt and Tom Dhaene

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• Toward Instance-aware Neural Architecture Search

An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei and Min Sun

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• Learning the Learning Rate for Gradient Descent by Gradient Descent

Orchid Majumder, Michele Donini and Pratik Chaudhari

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• Accelerating the Nelder - Mead Method with Predictive Parallel Evaluation

Yoshihiko Ozaki, Shuhei Watanabe and Masaki Onishi

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• Explainability Constraints for Bayesian Optimization

Michael Li and Ryan Adams

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• Graduated Optimisation of Black-Box Functions

Weijia Shao, Christian Geißler and Fikret Sivrikaya

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• Bayesian Optimization over Sets

Jungtaek Kim, Michael McCourt, Saehoon Kim, Tackgeun You and Seungjin Choi

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• From Switchable Normalization to Dynamic Normalization

Ping Luo, Zhanglin Peng, Wenqi Shao and Ruimao Zhang

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• Efficient Forward Architecture Search

Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz and Debadeepta Dey

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• Evolving Rewards to Automate Reinforcement Learning

Aleksandra Faust, Anthony Francis and Dar Mehta

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• AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri and Corinna Cortes

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• Improving Automated Variational Inference with Normalizing Flows

Stefan Webb, J. P. Chen, Martin Jankowiak and Noah Goodman

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• Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Matilde Gargiani, Aaron Klein, Stefan Falkner and Frank Hutter

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• Meta-learning of textual representations

Jorge Madrid and Hugo Escalante

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• ASCAI: Adaptive Sampling for acquiring Compact AI

Mojan Javaheripi, Mohammad Samragh, Tara Javidi and Farinaz Koushanfar

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• Fast AutoAugment

Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim and Sungwoong Kim

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• Meta-Learning Acquisition Functions for Bayesian Optimization

Michael Volpp, Lukas Fröhlich, Andreas Doerr, Stefan Falkner, Frank Hutter and Christian Daniel

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• Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar

Iddo Drori, Yamuna Krishnamurthy, Raoni Paula Lourenco, Remi Rampin, Kyunghyun Cho, Claudio Silva and Juliana Freire

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• Neural Architecture Search Over a Graph Search Space

Stanisław Jastrzębski, Quentin De Laroussilhe, Mingxing Tan, Xiao Ma, Neil Houlsby and Andrea Gesmundo

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• Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents

Zalán Borsos, Andrey Khorlin and Andrea Gesmundo

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• Evolutionary-Neural Hybrid Agents for Architecture Search

Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Stanisław Jastrzębski, Mingxing Tan and Andrea Gesmundo

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• Improving Neural Architecture Search Image Classifiers via Ensemble Learning

Vladimir Macko, Charles Weill, Hanna Mazzawi and Javier Gonzalvo‎

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• Generative Teaching Networks: Machine learning algorithms that automatically generate training data

Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth Stanley and Jeff Clune

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• An Open Source AutoML Benchmark

Erin Ledell, Pieter Gijsbers, Joaquin Vanschoren, Janek Thomas, Bernd Bischl and Sebastien Poirier

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• Automating Multi-Label Classification Extending ML-Plan

Marcel Wever, Felix Mohr, Alexander Hetzer and Eyke Hüllermeier

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• A Boosting Tree Based AutoML System for Lifelong Machine Learning

Zheng Xiong, Wenpeng Zhang, Jiyan Jiang and Wenwu Zhu

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