SAP AI Research
Current projects and news of machine learning research at SAP
Common Sense — Still not Common in AI
Common Sense — Still not Common in AI
Tassilo Klein, Moin Nabi (SAP AI Research)
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Oleksiy Ostapenko, Tassilo Klein, Moin Nabi (ML Research)
Solving the Big Data Challenge? Deep Few-Shot Learning from a Multimodal Perspective
Solving the Big Data Challenge? Deep Few-Shot Learning from a Multimodal Perspective
Frederik Pahde, Tassilo Klein, Moin Nabi, Oleksiy Ostapenko, Patrick Jaehnichen (ML Research Berlin)
Chargrid: Towards Understanding 2D Documents
Chargrid: Towards Understanding 2D Documents
Anoop Katti, Christian Reisswig, Johannes Höhne, Cordula Guder, Sebastian Brarda, Steffen Bickel, and Jean Baptiste Faddoul
VizWiz: Computer Vision Researchers Join Forces for Social Good
VizWiz: Computer Vision Researchers Join Forces for Social Good
Denis Dushi, Sandro Pezzelle, Tassilo Klein, and Moin Nabi
TDNN: Building AES Models with Limited Training Data
TDNN: Building AES Models with Limited Training Data
Kai Hui (Deep Learning Center of Excellence Berlin)
Building Bridges, Fostering Collaborations: The Second SAP Leonardo Machine Learning Research…
Building Bridges, Fostering Collaborations: The Second SAP Leonardo Machine Learning Research…
September 7th, 2018 — Munich, Germany — Technical University of Munich
Predicting with Uncertainty: Using Age Prediction Models to detect Brain Abnormalities
Predicting with Uncertainty: Using Age Prediction Models to detect Brain Abnormalities
Benjamín Gutiérrez Becker (ML Research Partner from Technische Universität München)
SAP Leonardo Machine Learning at ECCV 2018
SAP Leonardo Machine Learning at ECCV 2018
Computer vision experts will gather this month in Munich, Germany for the 15th European Conference on Computer Vision (ECCV), taking place…
Insights from ACL 2018
Insights from ACL 2018
Daniel Dahlmeier, Rohit Kumar Gupta, Markus Kohler, and Richa Namballa
Building Models that Learn to Discover Structure and Relations
Building Models that Learn to Discover Structure and Relations
Thomas Kipf, Ethan Fetaya, Jackson Wang, Max Welling, Rich Zemel (ML Research Partners from University of Amsterdam)
Insights from ICLR 2018
Insights from ICLR 2018
Tassilo Klein, Shachar Klaiman, Konrad Schenk, Marius Lehne and Steven Jaeger
Human-Machine Collaborative Learning
Human-Machine Collaborative Learning
Vadim Tschernezki, Moin Nabi and Tassilo Klein (ML Research Berlin)
ML-powered Sales Pipeline Assessment
ML-powered Sales Pipeline Assessment
Verena Eitle and Tassilo Klein (ML Research Berlin)
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov and Ivan Titov (ML Research Partners from University of Edinburgh/University of Amsterdam)