ICML 2021 Workshop AutoML Submissions

On-the-fly learning of adaptive strategies with bandit algorithms
Rashid Bakirov, Damien Fay, Bogdan Gabrys
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Adaptation-Agnostic Meta-Training
Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-lai Chung
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Automated Learning Rate Scheduler for Large-batch Training
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin Vechev
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Oral
- Readers: Everyone
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv, Amitai Armon
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Incorporating domain knowledge into neural-guided search via in situ priors and constraints
Brenden K Petersen, Claudio Santiago, Mikel Landajuela
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Ranking Architectures by Feature Extraction Capabilities
Debadeepta Dey, Shital Shah, Sebastien Bubeck
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Neural Fixed-Point Acceleration for Convex Optimization
Shobha Venkataraman, Brandon Amos
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Replacing the Ex-Def Baseline in AutoML by Naive AutoML
Felix Mohr, Marcel Wever
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
PonderNet: Learning to Ponder
Andrea Banino, Jan Balaguer, Charles Blundell
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
LRTuner: A Learning Rate Tuner for Deep Neural Networks
Nikhil Iyer, Thejas Venkatesh, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Sequential Automated Machine Learning: Bandits-driven Exploration using a Collaborative Filtering Representation
Maxime Heuillet, Benoit Debaque, Audrey Durand
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Meta Learning the Step Size in Policy Gradient Methods
Luca Sabbioni, Francesco Corda, Marcello Restelli
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Mutation is all you need
Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
Sergio Izquierdo, Julia Guerrero-Viu, Sven Hauns, Guilherme Miotto, Simon Schrodi, André Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter
- Published: 14 Jul 2021, Last Modified: 22 Oct 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
Parikshit Ram, Alexander G. Gray, Horst Samulowitz
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
AutoML Adoption in ML Software
Koen Van der Blom, Alex Serban, Holger Hoos, Joost Visser
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Multimodal AutoML on Structured Tables with Text Fields
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Oral
- Readers: Everyone
Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio
Julien Niklas Siems, Aaron Klein, Cedric Archambeau, Maren Mahsereci
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Towards Model Selection using Learning Curve Cross-Validation
Felix Mohr, Jan N. van Rijn
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito Pedregosa Palmes, Adi Botea
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
GPy-ABCD: A Configurable Automatic Bayesian Covariance Discovery Implementation
Thomas Fletcher, Alan Bundy, Kwabena Nuamah
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed A Aly, Ganesh Venkatesh, Maximilian Balandat
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone
Discovering Weight Initializers with Meta Learning
Dmitry Baranchuk, Artem Babenko
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Oral
- Readers: Everyone