Piero Molino
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An intriguing failing of convolutional neural networks and the coordconv solution
R Liu, J Lehman, P Molino, F Petroski Such, E Frank, A Sergeev, ...
Advances in neural information processing systems 31, 2018
Plug and play language models: A simple approach to controlled text generation
S Dathathri, A Madotto, J Lan, J Hung, E Frank, P Molino, J Yosinski, ...
arXiv preprint arXiv:1912.02164, 2019
Introducing serendipity in a content-based recommender system
L Iaquinta, M De Gemmis, P Lops, G Semeraro, M Filannino, P Molino
2008 eighth international conference on hybrid intelligent systems, 168-173, 2008
Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models
J Zhang, Y Wang, P Molino, L Li, DS Ebert
IEEE transactions on visualization and computer graphics 25 (1), 364-373, 2018
Meta-graph: Few shot link prediction via meta learning
AJ Bose, A Jain, P Molino, WL Hamilton
arXiv preprint arXiv:1912.09867, 2019
Ludwig: a type-based declarative deep learning toolbox
P Molino, Y Dudin, SS Miryala
arXiv preprint arXiv:1909.07930, 2019
Joint contextual modeling for asr correction and language understanding
Y Weng, SS Miryala, C Khatri, R Wang, H Zheng, P Molino, M Namazifar, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Can a recommender system induce serendipitous encounters
L Iaquinta, M de Gemmis, P Lops, G Semeraro, P Molino
E-commerce, 1-17, 2010
Collaborative multi-agent dialogue model training via reinforcement learning
A Papangelis, YC Wang, P Molino, G Tur
arXiv preprint arXiv:1907.05507, 2019
Social question answering: Textual, user, and network features for best answer prediction
P Molino, LM Aiello, P Lops
ACM Transactions on Information Systems (TOIS) 35 (1), 1-40, 2016
Cota: Improving the speed and accuracy of customer support through ranking and deep networks
P Molino, H Zheng, YC Wang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Exploration based language learning for text-based games
A Madotto, M Namazifar, J Huizinga, P Molino, A Ecoffet, H Zheng, ...
arXiv preprint arXiv:2001.08868, 2020
Plato dialogue system: A flexible conversational ai research platform
A Papangelis, M Namazifar, C Khatri, YC Wang, P Molino, G Tur
arXiv preprint arXiv:2001.06463, 2020
Flexibly-structured model for task-oriented dialogues
L Shu, P Molino, M Namazifar, H Xu, B Liu, H Zheng, G Tur
arXiv preprint arXiv:1908.02402, 2019
Exploiting distributional semantic models in question answering
P Molino, P Basile, A Caputo, P Lops, G Semeraro
2012 IEEE Sixth International Conference on Semantic Computing, 146-153, 2012
Declarative machine learning systems
P Molino, C Ré
Communications of the ACM 65 (1), 42-49, 2021
Playing with knowledge: A virtual player for “Who Wants to Be a Millionaire?” that leverages question answering techniques
P Molino, P Lops, G Semeraro, M de Gemmis, P Basile
Artificial Intelligence 222, 157-181, 2015
Personalized benchmarking with the ludwig benchmarking toolkit
A Narayan, P Molino, K Goel, W Neiswanger, C Re
arXiv preprint arXiv:2111.04260, 2021
Modeling multi-action policy for task-oriented dialogues
L Shu, H Xu, B Liu, P Molino
arXiv preprint arXiv:1908.11546, 2019
Parallax: Visualizing and understanding the semantics of embedding spaces via algebraic formulae
P Molino, Y Wang, J Zhang
arXiv preprint arXiv:1905.12099, 2019
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