Accepted Papers: Main Track

Best Paper Award

  • [Best Paper Award] Automatic Termination for Hyperparameter Optimization
    Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau
    OpenReview PDF Video

Main Track Papers

  • Automated Super-Network Generation for Scalable Neural Architecture Search
    Juan Pablo Munoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain
    OpenReview PDF Video Teaser

  • BERT-Sort: A Zero-shot MLM Semantic Encoder on Ordinal Features for AutoML
    Mehdi Bahrami, Wei-Peng Chen, Lei Liu, Mukul Prasad
    OpenReview PDF Video Teaser

  • Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
    Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum
    OpenReview PDF Video Teaser

  • AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks
    Duc N.M Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
    OpenReview PDF Video Teaser

  • Bayesian Generational Population-Based Training
    Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael Osborne
    OpenReview PDF Video Teaser

  • Tackling Neural Architecture Search With Quality Diversity Optimization
    Lennart Schneider, Florian Pfisterer, Paul Kent, Juergen Branke, Bernd Bischl, Janek Thomas
    OpenReview PDF Video Teaser

  • YAHPO Gym – An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
    Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
    OpenReview PDF Video Teaser

  • Non-Uniform Adversarially Robust Pruning
    Qi Zhao, Tim Königl, Christian Wressnegger
    OpenReview PDF Video Teaser

  • When, where, and how to add new neurons to ANNs
    Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson
    OpenReview PDF Video Teaser

  • ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation
    Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
    OpenReview PDF Video Teaser

  • Opening the Black Box: Automated Software Analysis for Algorithm Selection
    Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger Hoos
    OpenReview PDF Video Teaser

  • Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
    David Salinas, Matthias Seeger, Aaron Klein, Valerio Perrone, Martin Wistuba, Cedric Archambeau
    OpenReview PDF Video Teaser

  • LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
    Kenan Šehić, Alexandre Gramfort, Joseph Salmon, Luigi Nardi
    OpenReview PDF Video Teaser

  • DIFER: Differentiable Automated Feature Engineering
    Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
    OpenReview PDF Video Teaser

  • Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
    Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
    OpenReview PDF Video Teaser

  • On the Optimality Gap of Warm-Started Hyperparameter Optimization
    Parikshit Ram
    OpenReview PDF Video Teaser

  • A Tree-Structured Multi-Task Model Recommender
    Lijun Zhang, Xiao Liu, Hui Guan
    OpenReview PDF Video Teaser

  • What to expect of hardware metric predictors in NAS
    Kevin Alexander Laube, Maximus Mutschler, Andreas Zell
    OpenReview PDF Video Teaser

  • Differentiable Architecture Search for Reinforcement Learning
    Yingjie Miao, Xingyou Song, John D Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
    OpenReview PDF Video Teaser