Algorithms · AutoML

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