Disha Shrivastava
Disha Shrivastava
Mila, University of Montreal
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Cited by
Cited by
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark
D Shrivastava, S Chaudhury, D Jayadeva
arXiv preprint arXiv:1708.05840, 2017
A Machine Learning Approach for Evaluating Creative Artifacts
D Shrivastava, SA CG, A Laha, K Sankaranarayanan
SIGKDD Workshop on Machine Learning for Creativity (ML4Creativity), 2017
Transfer Learning by Modeling a Distribution over Policies
D Shrivastava, EG Dhekane, R Islam
ICML Workshop on Multi-Task and Lifelong Reinforcement Learning, 2019
What is deemed computationally creative?
S Agrawal, A Sankaran, A Laha, SA Chemmengath, D Shrivastava, ...
IBM Journal of Research and Development 63 (1), 3: 1-3: 12, 2019
Advances in Computational Creativity Technology
R Goodwin, K Varshney, J Xiong, BJ Wiltgen, AK Goel, LR Varshney, ...
Hypernyms Through Intra-Article Organization in Wikipedia
D Shrivastava, S Kenkre, S Penubothula
arXiv preprint arXiv:1809.00414, 2018
Modeling Topical Coherence in Discourse without Supervision
D Shrivastava, A Mishra, K Sankaranarayanan
arXiv preprint arXiv:1809.00410, 2018
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