Data-driven approach to multiple-source domain adaptation
P Stojanov, M Gong, J Carbonell… - The 22nd International …, 2019 - proceedings.mlr.press
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
[PDF][PDF] Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong, JG Carbonell, K Zhang - minerva-access.unimelb.edu.au
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
Data-Driven Approach to Multiple-Source Domain Adaptation.
P Stojanov, M Gong, JG Carbonell… - proceedings of machine …, 2019 - scimatic.org
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
[PDF][PDF] Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong, JG Carbonell, K Zhang - cs.cmu.edu
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
Data-Driven Approach to Multiple-Source Domain Adaptation.
P Stojanov, M Gong, JG Carbonell… - Proceedings of Machine …, 2019 - europepmc.org
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong… - … of machine learning …, 2019 - pubmed.ncbi.nlm.nih.gov
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong, J Carbonell… - The 22nd International …, 2019 - proceedings.mlr.press
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
[HTML][HTML] Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong, JG Carbonell… - Proceedings of machine …, 2019 - ncbi.nlm.nih.gov
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong - Proceedings of Machine Learning Research, 2019 - par.nsf.gov
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …
[PDF][PDF] Data-Driven Approach to Multiple-Source Domain Adaptation
P Stojanov, M Gong, JG Carbonell, K Zhang - cs.cmu.edu
A key problem in domain adaptation is determining what to transfer across different
domains. We propose a data-driven method to represent these changes across multiple …
domains. We propose a data-driven method to represent these changes across multiple …