D-VAE: A Variational Autoencoder for Directed Acyclic Graphs | Muhan Zhang · Shali Jiang · Zhicheng Cui · Roman Garnett · Yixin Chen |
DATA: Differentiable ArchiTecture Approximation | Jianlong Chang · xinbang zhang · Yiwen Guo · GAOFENG MENG · SHIMING XIANG · Chunhong Pan |
DetNAS: Backbone Search for Object Detection | Yukang Chen · Tong Yang · Xiangyu Zhang · GAOFENG MENG · Xinyu Xiao · Jian Sun |
Discovering Neural Wirings | Mitchell Wortsman · Ali Farhadi · Mohammad Rastegari |
Fast AutoAugment | Sungbin Lim · Ildoo Kim · Taesup Kim · Chiheon Kim · Sungwoong Kim |
Meta-Surrogate Benchmarking for Hyperparameter Optimization | Aaron Klein · Zhenwen Dai · Frank Hutter · Neil Lawrence · Javier Gonzalez |
NAT: Neural Architecture Transformer for Accurate and Compact Architectures | Yong Guo · Yin Zheng · Mingkui Tan · Qi Chen · Jian Chen · Peilin Zhao · Junzhou Huang |
Network Pruning via Transformable Architecture Search | Xuanyi Dong · Yi Yang |
Scalable Global Optimization via Local Bayesian Optimization | David Eriksson · Michael Pearce · Jacob Gardner · Ryan Turner · Matthias Poloczek |
XNAS: Neural Architecture Search with Expert Advice | Niv Nayman · Asaf Noy · Tal Ridnik · Itamar Friedman · Rong Jin · Lihi Zelnik |
Efficient Forward Architecture Search | Hanzhang Hu · John Langford · Rich Caruana · Saurajit Mukherjee · Eric Horvitz · Debadeepta Dey |
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection | Junran Peng · Ming Sun · ZHAO-XIANG ZHANG · Tieniu Tan · Junjie Yan |
Hyperparameter Learning via Distributional Transfer | Ho Chung Law · Peilin Zhao · Leung Sing Chan · Junzhou Huang · Dino Sejdinovic |
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning | Valerio Perrone · Huibin Shen · Matthias Seeger · Cedric Archambeau · Rodolphe Jenatton |
Meta Architecture Search | Albert Shaw · Wei Wei · Weiyang Liu · Le Song · Bo Dai |
Multi-objective Bayesian optimisation with preferences over objectives | Majid Abdolshah · Alistair Shilton · Santu Rana · Sunil Gupta · Svetha Venkatesh |
Practical Two-Step Lookahead Bayesian Optimization | Jian Wu · Peter Frazier |
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration | Robert Kleinberg · Kevin Leyton-Brown · Brendan Lucier · Devon Graham |
Splitting Steepest Descent for Growing Neural Architectures | Lemeng Wu · Dilin Wang · Qiang Liu |
Towards modular and programmable architecture search | Renato Negrinho · Matthew Gormley · Geoffrey Gordon · Darshan Patil · Nghia Le · Daniel Ferreira |