“A universal performance metric for RL” Oren Neumann
Goethe University Frankfurt, Frankfurt am Main, Germany
“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
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
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