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Wed 11 Nov 2020 17:37 - 17:38 at Virtual room 2 - ML Model Building

Deep learning is being incorporated in many modern software systems. Deep learning approaches train a deep neural network (DNN) model using training examples, and then use the DNN model for prediction. While the structure of a DNN model as layers is observable, the model is treated in its entirety as a monolithic component. To change the logic implemented by the model, e.g. to add/remove logic that recognizes inputs belonging to a certain class, or to replace the logic with an alternative, the training examples need to be changed and the DNN needs to be retrained using the new set of examples. We argue that decomposing a DNN into DNN modules— akin to decomposing a monolithic software code into modules—can bring the benefits of modularity to deep learning. In this work, we develop a methodology for decomposing DNNs for multi-class problems into DNN modules. For four canonical problems, namely MNIST, EMNIST, FMNIST, and KMNIST, we demonstrate that such decomposition enables reuse of DNN modules to create different DNNs, enables replacement of one DNN module in a DNN with another without needing to retrain. The DNN models formed by composing DNN modules are at least as good as traditional monolithic DNNs in terms of test accuracy for our problems.

Wed 11 Nov
Times are displayed in time zone: (UTC) Coordinated Universal Time change

17:30 - 17:32
Talk
Research Papers
Jose CambroneroMassachusetts Institute of Technology, USA, Jürgen CitoTU Wien and MIT, Martin RinardMassachusetts Institute of Technology, USA
DOI
17:33 - 17:34
Talk
Visions and Reflections
Anh Nguyen-DucUniversity of South Eastern Norway, Pekka AbrahamssonUniversity of Jyväskylä
DOI
17:35 - 17:36
Talk
Research Papers
SiminChen University of Texas at Dallas, USA, Soroush BateniUniversity of Texas at Dallas, USA, Sampath GrandhiUniversity of Texas at Dallas, USA, Xiaodi LiUniversity of Texas at Dallas, USA, Cong LiuUniversity of Texas at Dallas, USA, Wei YangUniversity of Texas at Dallas, USA
DOI
17:37 - 17:38
Talk
Research Papers
Rangeet PanIowa State University, USA, Hridesh RajanIowa State University, USA
DOI Media Attached
17:39 - 17:40
Talk
Student Research Competition
Joshua GisiNorth Dakota State University, USA
DOI
17:41 - 18:00
Talk
Paper Presentations
Jose CambroneroMassachusetts Institute of Technology, USA, Rangeet PanIowa State University, USA, Simin Chen, Wei YangUniversity of Texas at Dallas, USA, M: John-Paul OreNorth Carolina State University