ICML Submissions

Automated Learning Rate Scheduler for Large-batch Training
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin Vechev
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Oral
- Readers: Everyone
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv, Amitai Armon
- May 20, 2021 (edited Jul 14, 2021)
- 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
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Ranking Architectures by Feature Extraction Capabilities
Debadeepta Dey, Shital Shah, Sebastien Bubeck
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Neural Fixed-Point Acceleration for Convex Optimization
Shobha Venkataraman, Brandon Amos
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Sequential Automated Machine Learning: Bandits-driven Exploration using a Collaborative Filtering Representation
Maxime Heuillet, Benoit Debaque, Audrey Durand
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Mutation is all you need
Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
- May 20, 2021 (edited Jul 14, 2021)
- 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
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
Parikshit Ram, Alexander G. Gray, Horst Samulowitz
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
AutoML Adoption in ML Software
Koen Van der Blom, Alex Serban, Holger Hoos, Joost Visser
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Multimodal AutoML on Structured Tables with Text Fields
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola
- May 20, 2021 (edited Jul 14, 2021)
- 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
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Towards Model Selection using Learning Curve Cross-Validation
Felix Mohr, Jan N. van Rijn
- May 20, 2021 (edited Jul 14, 2021)
- 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
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
GPy-ABCD: A Configurable Automatic Bayesian Covariance Discovery Implementation
Thomas Fletcher, Alan Bundy, Kwabena Nuamah
- May 20, 2021 (edited Jul 14, 2021)
- 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
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Discovering Weight Initializers with Meta Learning
Dmitry Baranchuk, Artem Babenko
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Oral
- Readers: Everyone
A resource-efficient method for repeated HPO and NAS problems
Giovanni Zappella, David Salinas, Cedric Archambeau
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Andrej Risteski, Divyansh Pareek
- Jun 02, 2021 (edited Jul 14, 2021)
- INNF+ 2021 poster
- Readers: Everyone
Unsupervised Skill-Discovery and Skill-Learning in Minecraft
Juan José Nieto, Roger Creus Castanyer, Xavier Giro-i-Nieto
- Jun 13, 2021 (edited Jul 14, 2021)
- URL 2021 Poster
- Readers: Everyone
Reward-Free Policy Space Compression for Reinforcement Learning
Mirco Mutti, Stefano Del Col, Marcello Restelli
- Jun 13, 2021 (edited Jul 13, 2021)
- URL 2021 Poster
- Readers: Everyone
Learning to Explore Multiple Environments without Rewards
Mirco Mutti, Mattia Mancassola, Marcello Restelli
- Jun 13, 2021 (edited Jul 13, 2021)
- URL 2021 Poster
- Readers: Everyone
The Importance of Non-Markovianity in Maximum State Entropy Exploration
Mirco Mutti, Riccardo De Santi, Marcello Restelli
- Jun 13, 2021 (edited Jul 13, 2021)
- URL 2021 Poster
- Readers: Everyone