191 citations · 336 across the 4 of their papers we have counts for
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Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jake Russin, Jason Jo, Randall C. O'Reilly +1
Standard methods in deep learning for natural language processing fail to capture the compositional structure of human language that allows for systematic generalization outside of…
Modularity Matters: Learning Invariant Relational Reasoning Tasks
Jason Jo, Vikas Verma, Yoshua Bengio
We focus on two supervised visual reasoning tasks whose labels encode a semantic relational rule between two or more objects in an image: the MNIST Parity task and the colorized Pe…
Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study
Matteo Fischetti, Jason Jo
Deep Neural Networks (DNNs) are very popular these days, and are the subject of a very intense investigation. A DNN is made by layers of internal units (or neurons), each of which…
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo, Yoshua Bengio
Deep CNNs are known to exhibit the following peculiarity: on the one hand they generalize extremely well to a test set, while on the other hand they are extremely sensitive to so-c…