(TBA)
Past Awards
- ACDL 2023:
- “A universal performance metric for RL”
Oren Neumann
Goethe University Frankfurt, Frankfurt am Main, Germany
- “A universal performance metric for RL”
- ACDL 2022:
- “Current challenges for applying Machine Learning in life cycle toxicity assessment”
Kerstin von Borries
Technical University of Denmark – DTU, Denmark - “Generalization error rates for Kernel Ridge Regression”
Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborovà
Ecole Polytechnique Federale de Lausanne – EPFL, Switzerland
- “Current challenges for applying Machine Learning in life cycle toxicity assessment”
- ACDL 2021:
“Feature Selection in Neural Networks via Rank Aggregation”
Aris Anagnostopoulos, Andrea Mastropietro
Department of Computer, Control and Management Engineering, Sapienza University of Rome - ACDL 2020:
“Neural Ensemble Search for Performant and Calibrated Predictions”
Arber Zela, Sheheryar Zaidi, Thomas Elsken, Chris Holmes, Frank Hutter, Yee Whye Teh
University of Freiburg, University of Oxford, Bosch Center of Artificial Intelligence - ACDL 2019:
“Lung Tumors in CT Scans — Detection and Content Based Retrieval”
Roman Gurevich, Tal Heletz and Ilia Kravets
Yandex-Data School of Data Science, Israel - ACDL 2018:
“Adversarial Feature Augmentation for Unsupervised Domain Adaptation”
Riccardo Volpi*, Pietro Moreiro, Silvio Savarese, Vittorio Murino
Italian Institute of Technology, Italy
