Jason Jo

According to our database, Jason Jo authored at least 9 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies.

Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics.

Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Compositional Generalization by Factorizing Alignment and Translation.

Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Compositional generalization in a deep seq2seq model by separating syntax and semantics.

Jake Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

CoRR, 2019

2018

Modularity Matters: Learning Invariant Relational Reasoning Tasks.

Jason Jo, Vikas Verma, Yoshua Bengio

CoRR, 2018

Deep neural networks and mixed integer linear optimization.

Matteo Fischetti, Jason Jo

Constraints An Int. J., 2018

2017

Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study.

Matteo Fischetti, Jason Jo

CoRR, 2017

Measuring the tendency of CNNs to Learn Surface Statistical Regularities.

Jason Jo, Yoshua Bengio

CoRR, 2017

2013

Iterative Hard Thresholding for Weighted Sparse Approximation.

Jason Jo

CoRR, 2013