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We consider learning of submodular functions from data.
An analysis of approximations for maximizing submodular set functions—i
George L Nemhauser, Laurence A Wolsey, and Marshall L Fisher · 1978
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Object detection with discriminatively trained part-based models
Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan · 2010
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Multi-document summarization via budgeted maximization of submodular functions
Hui Lin and Jeff Bilmes · 2010
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Learning submodular functions
Maria-Florina Balcan and Nicholas J. A. Harvey · 2011
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Learning mixtures of submodular shells with application to document summarization
Hui Lin and Jeff Bilmes · 2012
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Semi-supervised learning using greedy max-cut
Jun Wang, Tony Jebara, and Shih-Fu Chang · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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From map to marginals: Variational inference in bayesian submodular models
Josip Djolonga and Andreas Krause · 2014
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Expectation-maximization for learning determinantal point processes
Jennifer A Gillenwater, Alex Kulesza, Emily Fox, and Ben Taskar · 2014
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Learning mixtures of submodular functions for image collection summarization
Sebastian Tschiatschek, Rishabh K Iyer, Haochen Wei, and Jeff A Bilmes · 2014
Cited alongside, same era.
A tight linear time (1/2)-approximation for unconstrained submodular maximization
Niv Buchbinder, Moran Feldman, Joseph Seffi, and Roy Schwartz · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Gurobi optimizer reference manual, 2016
Inc. Gurobi Optimization · 2016
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Learning probabilistic submodular diversity models via noise contrastive estimation
Sebastian Tschiatschek, Josip Djolonga, and Andreas Krause · 2016
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Video summarization with long short-term memory
Ke Zhang, Wei-Lun Chao, Fei Sha, and Kristen Grauman · 2016
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Learning combinatorial optimization algorithms over graphs
Elias Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, and Le Song · 2017
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Deepsetnet: Predicting sets with deep neural networks
S Hamid Rezatofighi, Anton Milan, Ehsan Abbasnejad, Anthony Dick, Ian Reid, et al · 2017
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Deep sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Ruslan R Salakhutdinov, and Alexander J Smola · 2017
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Cited alongside, same era.
Deep submodular functions: Definitions and learning
Brian W Dolhansky and Jeff A Bilmes · 2016
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Differentiable submodular maximization
Sebastian Tschiatschek, Aytunc Sahin, and Andreas Krause · 2018
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