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Picture for Vlad Niculae

Vlad Niculae

INRIA Saclay - Ile de France, LTCI

Sparse Communication via Mixed Distributions


Aug 05, 2021
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins


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Sparse Continuous Distributions and Fenchel-Young Losses


Aug 04, 2021
André F. T. Martins, Marcos Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae

* arXiv admin note: text overlap with arXiv:2006.07214 

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Learning Binary Trees via Sparse Relaxation


Oct 09, 2020
Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae


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Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning


Oct 05, 2020
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins

* EMNLP 2020 

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Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity


Jul 03, 2020
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins


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Sparse and Continuous Attention Mechanisms


Jun 12, 2020
André F. T. Martins, Marcos Treviso, António Farinhas, Vlad Niculae, Mário A. T. Figueiredo, Pedro M. Q. Aguiar


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Sparse and Structured Visual Attention


Feb 13, 2020
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André Martins

* 15 pages, 5 figures 

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LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction


Jan 13, 2020
Vlad Niculae, André F. T. Martins

* 43 pages, 5 tables, 4 figures 

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Adaptively Sparse Transformers


Sep 06, 2019
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins

* Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019, Hong Kong, China 

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Notes on Latent Structure Models and SPIGOT


Jul 24, 2019
André F. T. Martins, Vlad Niculae

* 7 pages 

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Sparse Sequence-to-Sequence Models


May 14, 2019
Ben Peters, Vlad Niculae, André F. T. Martins

* Accepted to ACL 2019 

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Learning with Fenchel-Young Losses


Jan 08, 2019
Mathieu Blondel, André F. T. Martins, Vlad Niculae

* Extended version of arXiv:1805.09717 

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Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms


Oct 05, 2018
Mathieu Blondel, André F. T. Martins, Vlad Niculae


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Towards Dynamic Computation Graphs via Sparse Latent Structure


Sep 03, 2018
Vlad Niculae, André F. T. Martins, Claire Cardie

* EMNLP 2018; 9 pages (incl. appendix) 

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SparseMAP: Differentiable Sparse Structured Inference


Jun 20, 2018
Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie

* Published in ICML 2018. 14 pages, including appendix 

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Multi-output Polynomial Networks and Factorization Machines


Nov 04, 2017
Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda

* Published at NIPS 2017. 17 pages, including appendix 

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A Regularized Framework for Sparse and Structured Neural Attention


Nov 03, 2017
Vlad Niculae, Mathieu Blondel

* Published in NIPS 2017. 23 pages, including appendix 

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Argument Mining with Structured SVMs and RNNs


Apr 23, 2017
Vlad Niculae, Joonsuk Park, Claire Cardie

* Accepted for publication at ACL 2017. 11 pages, 5 figures. Code at https://github.com/vene/marseille and data at http://joonsuk.org/ 

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Conversational Markers of Constructive Discussions


Apr 25, 2016
Vlad Niculae, Cristian Danescu-Niculescu-Mizil

* To appear at NAACL-HLT 2016. 11pp, 5 fig. Data and other info available at http://vene.ro/constructive/ 

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Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions


Feb 06, 2016
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee

* 12 pages, 10 figures, to appear in Proceedings of WWW 2016, data and more at https://chenhaot.com/pages/changemyview.html (v2 made a minor correction on submission rules in ChangeMyView.) 

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Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game


Jun 15, 2015
Vlad Niculae, Srijan Kumar, Jordan Boyd-Graber, Cristian Danescu-Niculescu-Mizil

* To appear at ACL 2015. 10pp, 4 fig. Data and other info available at http://vene.ro/betrayal/ 

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QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns


Apr 06, 2015
Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec

* To appear in the Proceedings of WWW 2015. 11pp, 10 fig. Interactive visualization, data, and other info available at http://snap.stanford.edu/quotus/ 

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API design for machine learning software: experiences from the scikit-learn project


Sep 01, 2013
Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake Vanderplas, Arnaud Joly, Brian Holt, Gaël Varoquaux

* European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (2013) 

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