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Vlad Niculae
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Books and Theses
- 2018
- [b1]Vlad Niculae:
Learning Deep Models with Linguistically-Inspired Structure. Cornell University, USA, 2018
Journal Articles
- 2023
- [j4]Sergey Troshin, Vlad Niculae:
Wrapped β-Gaussians with compact support for exact probabilistic modeling on manifolds. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j3]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. J. Mach. Learn. Res. 23: 257:1-257:74 (2022) - 2020
- [j2]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning with Fenchel-Young losses. J. Mach. Learn. Res. 21: 35:1-35:69 (2020) - 2012
- [j1]Iulia Danaila, Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea:
String Distances for Near-duplicate Detection. Polibits 45: 21-25 (2012)
Conference and Workshop Papers
- 2024
- [c42]Wafaa Mohammed, Vlad Niculae:
On Measuring Context Utilization in Document-Level MT Systems. EACL (Findings) 2024: 1633-1643 - 2023
- [c41]David Stap, Vlad Niculae, Christof Monz:
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. EMNLP (Findings) 2023: 14973-14987 - [c40]Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae:
DAG Learning on the Permutahedron. ICLR 2023 - 2022
- [c39]Ali Araabi, Christof Monz, Vlad Niculae:
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? AMTA 2022: 117-130 - [c38]António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. ICLR 2022 - [c37]Tsvetomila Mihaylova
, Vlad Niculae, André F. T. Martins:
Modeling Structure with Undirected Neural Networks. ICML 2022: 15544-15560 - [c36]Evgeniia Tokarchuk
, Vlad Niculae:
On Target Representation in Continuous-output Neural Machine Translation. RepL4NLP@ACL 2022: 227-235 - 2021
- [c35]Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse And Structured Visual Attention. ICIP 2021: 379-383 - [c34]Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae:
Learning Binary Decision Trees by Argmin Differentiation. ICML 2021: 12298-12309 - 2020
- [c33]Tsvetomila Mihaylova
, Vlad Niculae, André F. T. Martins:
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. EMNLP (1) 2020: 2186-2202 - [c32]Vlad Niculae, André F. T. Martins:
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. ICML 2020: 7348-7359 - [c31]Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. NeurIPS 2020 - [c30]André F. T. Martins, António Farinhas, Marcos V. Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Sparse and Continuous Attention Mechanisms. NeurIPS 2020 - 2019
- [c29]André F. T. Martins, Tsvetomila Mihaylova
, Nikita Nangia, Vlad Niculae:
Latent Structure Models for Natural Language Processing. ACL (4) 2019: 1-5 - [c28]Ben Peters, Vlad Niculae, André F. T. Martins:
Sparse Sequence-to-Sequence Models. ACL (1) 2019: 1504-1519 - [c27]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. AISTATS 2019: 606-615 - [c26]Gonçalo M. Correia, Vlad Niculae, André F. T. Martins:
Adaptively Sparse Transformers. EMNLP/IJCNLP (1) 2019: 2174-2184 - 2018
- [c25]Ben Peters, Vlad Niculae, André F. T. Martins:
Interpretable Structure Induction via Sparse Attention. BlackboxNLP@EMNLP 2018: 365-367 - [c24]Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. EMNLP 2018: 905-911 - [c23]Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie:
SparseMAP: Differentiable Sparse Structured Inference. ICML 2018: 3796-3805 - 2017
- [c22]Vlad Niculae, Joonsuk Park, Claire Cardie:
Argument Mining with Structured SVMs and RNNs. ACL (1) 2017: 985-995 - [c21]Vlad Niculae, Mathieu Blondel:
A Regularized Framework for Sparse and Structured Neural Attention. NIPS 2017: 3338-3348 - [c20]Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda:
Multi-output Polynomial Networks and Factorization Machines. NIPS 2017: 3349-3359 - 2016
- [c19]Vlad Niculae, Cristian Danescu-Niculescu-Mizil:
Conversational Markers of Constructive Discussions. HLT-NAACL 2016: 568-578 - [c18]Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
:
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. WWW 2016: 613-624 - 2015
- [c17]Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil:
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. ACL (1) 2015: 1650-1659 - [c16]Marcos Zampieri, Alina Maria Ciobanu, Vlad Niculae, Liviu P. Dinu:
AMBRA: A Ranking Approach to Temporal Text Classification. SemEval@NAACL-HLT 2015: 851-855 - [c15]Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
:
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. WWW 2015: 798-808 - 2014
- [c14]Vlad Niculae, Marcos Zampieri, Liviu P. Dinu, Alina Maria Ciobanu:
Temporal Text Ranking and Automatic Dating of Texts. EACL 2014: 17-21 - [c13]Vlad Niculae, Cristian Danescu-Niculescu-Mizil:
Brighter than Gold: Figurative Language in User Generated Comparisons. EMNLP 2014: 2008-2018 - [c12]Liviu P. Dinu, Alina Maria Ciobanu, Ioana Chitoran, Vlad Niculae:
Using a machine learning model to assess the complexity of stress systems. LREC 2014: 331-336 - 2013
- [c11]Vlad Niculae, Victoria Yaneva:
Computational considerations of comparisons and similes. ACL (Student Research Workshop) 2013: 89-95 - [c10]Vlad Niculae:
Comparison pattern matching and creative simile recognition. JSSP 2013: 110-114 - [c9]Vlad Niculae, Octavian Popescu:
Determining is-a relationships for Textual Entailment. JSSP 2013: 115-120 - [c8]Alina Maria Ciobanu, Anca Dinu, Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea:
Temporal classification for historical Romanian texts. LaTeCH@ACL 2013: 102-106 - [c7]Alina Maria Ciobanu, Liviu P. Dinu, Octavia-Maria Sulea, Anca Dinu, Vlad Niculae:
Temporal Text Classification for Romanian Novels set in the Past. RANLP 2013: 136-140 - [c6]Liviu P. Dinu, Octavia-Maria Sulea, Vlad Niculae:
Sequence Tagging for Verb Conjugation in Romanian. RANLP 2013: 215-220 - [c5]Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea:
Romanian Syllabication Using Machine Learning. TSD 2013: 450-456 - 2012
- [c4]Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea:
Dealing with the Grey Sheep of the Romanian Gender System, the Neuter. COLING (Demos) 2012: 119-124 - [c3]Liviu Petrisor Dinu, Vlad Niculae, Octavia-Maria Sulea:
Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs. EACL 2012: 524-528 - [c2]Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea:
The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System. LREC 2012: 907-910 - 2011
- [c1]Liviu Petrisor Dinu, Emil Ionescu, Vlad Niculae, Octavia-Maria Sulea:
Can Alternations Be Learned? A Machine Learning Approach To Romanian Verb Conjugation. RANLP 2011: 539-544
Editorship
- 2019
- [e1]André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer:
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-10-9 [contents]
Informal and Other Publications
- 2024
- [i35]Wafaa Mohammed, Vlad Niculae:
On Measuring Context Utilization in Document-Level MT Systems. CoRR abs/2402.01404 (2024) - [i34]Saul Santos, Vlad Niculae, Daniel C. McNamee
, André F. T. Martins:
Sparse and Structured Hopfield Networks. CoRR abs/2402.13725 (2024) - [i33]Sergey Troshin, Vlad Niculae, Antske Fokkens:
ARM: Efficient Guided Decoding with Autoregressive Reward Models. CoRR abs/2407.04615 (2024) - 2023
- [i32]Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins:
Discrete Latent Structure in Neural Networks. CoRR abs/2301.07473 (2023) - [i31]Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae:
DAG Learning on the Permutahedron. CoRR abs/2301.11898 (2023) - [i30]David Stap, Vlad Niculae, Christof Monz:
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. CoRR abs/2305.11550 (2023) - [i29]Vlad Niculae:
Two derivations of Principal Component Analysis on datasets of distributions. CoRR abs/2306.13503 (2023) - [i28]Ali Araabi, Vlad Niculae, Christof Monz:
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables. CoRR abs/2307.12835 (2023) - [i27]Evgeniia Tokarchuk, Vlad Niculae:
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation. CoRR abs/2310.20620 (2023) - 2022
- [i26]Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Modeling Structure with Undirected Neural Networks. CoRR abs/2202.03760 (2022) - [i25]Ali Araabi, Christof Monz, Vlad Niculae:
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? CoRR abs/2208.05225 (2022) - 2021
- [i24]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. CoRR abs/2108.01988 (2021) - [i23]António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. CoRR abs/2108.02658 (2021) - 2020
- [i22]Vlad Niculae, André F. T. Martins:
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. CoRR abs/2001.04437 (2020) - [i21]Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse and Structured Visual Attention. CoRR abs/2002.05556 (2020) - [i20]André F. T. Martins, Marcos V. Treviso, António Farinhas, Vlad Niculae, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Sparse and Continuous Attention Mechanisms. CoRR abs/2006.07214 (2020) - [i19]Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. CoRR abs/2007.01919 (2020) - [i18]Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. CoRR abs/2010.02357 (2020) - [i17]Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae:
Learning Binary Trees via Sparse Relaxation. CoRR abs/2010.04627 (2020) - 2019
- [i16]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning with Fenchel-Young Losses. CoRR abs/1901.02324 (2019) - [i15]Ben Peters, Vlad Niculae, André F. T. Martins:
Sparse Sequence-to-Sequence Models. CoRR abs/1905.05702 (2019) - [i14]André F. T. Martins, Vlad Niculae:
Notes on Latent Structure Models and SPIGOT. CoRR abs/1907.10348 (2019) - [i13]Gonçalo M. Correia, Vlad Niculae, André F. T. Martins:
Adaptively Sparse Transformers. CoRR abs/1909.00015 (2019) - 2018
- [i12]Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie:
SparseMAP: Differentiable Sparse Structured Inference. CoRR abs/1802.04223 (2018) - [i11]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. CoRR abs/1805.09717 (2018) - [i10]Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. CoRR abs/1809.00653 (2018) - 2017
- [i9]Vlad Niculae, Joonsuk Park, Claire Cardie:
Argument Mining with Structured SVMs and RNNs. CoRR abs/1704.06869 (2017) - [i8]Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda:
Multi-output Polynomial Networks and Factorization Machines. CoRR abs/1705.07603 (2017) - [i7]Vlad Niculae, Mathieu Blondel:
A Regularized Framework for Sparse and Structured Neural Attention. CoRR abs/1705.07704 (2017) - 2016
- [i6]Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie:
Cornell Belief and Sentiment System at TAC 2016. TAC 2016 - [i5]Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee:
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. CoRR abs/1602.01103 (2016) - [i4]Vlad Niculae, Cristian Danescu-Niculescu-Mizil:
Conversational Markers of Constructive Discussions. CoRR abs/1604.07407 (2016) - 2015
- [i3]Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. CoRR abs/1504.01383 (2015) - [i2]Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil:
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. CoRR abs/1506.04744 (2015) - 2013
- [i1]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:
API design for machine learning software: experiences from the scikit-learn project. CoRR abs/1309.0238 (2013)
Coauthor Index
aka: Liviu Petrisor Dinu
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