Accepted Papers

  • Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure

Zhijie Deng, Yucen Luo and Jun Zhu

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  • AutoHAS: Efficient Hyperparameter and Architecture Search

Xuanyi Dong, Mingxing Tan, Adams Yu, Daiyi Peng, Bogdan Gabrys and Quoc Le

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  • Tensorizing Neural Architecture Search in the Supernet

Hansi Yang, Quanming Yao and James T. Kwok

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  • Simulation-based Scoring for Model-based Asynchronous Hyperparameter and Neural Architecture Search

Matthias Seeger, Aaron Klein, Thibaut Lienart and Louis Tiao

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  • Making Differentiable Architecture Search less local

Erik Bodin, Federico Tomasi and Zhenwen Dai

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  • Width transfer: on the (in)variance of width optimization

Ting-Wu Chin, Diana Marculescu and Ari Morcos

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  • How Powerful are Performance Predictors in Neural Architecture Search?

Colin White, Arber Zela, Binxin Ru, Yang Liu and Frank Hutter

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  • On Adversarial Robustness: A Neural Architecture Search perspective

Chaitanya Devaguptapu, Gaurav Mittal, Devansh Agarwal and Vineeth N Balasubramanian

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  • A multi-objective perspective on jointly tuning hardware and hyperparameters

David Salinas, Valerio Perrone, Cedric Archambeau and Olivier Cruchant

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  • HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search

Niv Nayman, Yonathan Aflalo, Asaf Noy and Lihi Zelnik

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  • Cost-aware Adversarial Best Arm Identification

Nikita Ivkin, Zohar Karnin, Valerio Perrone and Giovanni Zappella

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  • MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders

Daniel Dimanov, Emili Balaguer-Ballester, Shahin Rostami and Colin Singleton

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  • Overfitting in Bayesian Optimization: an empirical study and early-stopping solution

Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger and Cedric Archambeau

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  • How does Weight Sharing Help in Neural Architecture Search?

Yuge Zhang, Quanlu Zhang and Yaming Yang

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  • AlphaNet: Improved Training of Supernet with Alpha-Divergence

Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu and Vikas Chandra

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  • One-Shot Neural Architecture Search Via Compressive Sensing

Minsu Cho, Mohammadreza Soltani and Chinmay Hegde

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  • Rethinking NAS Operations for Diverse Tasks

Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Re and Ameet Talwalkar

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  • Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search

Sebastian Musslick

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  • Flexible Multi-task Networks by Learning Parameter Allocation

Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gabor Bartok and Jesse Berent

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