Vlad Niculae

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 60

Top Topics

Machine Translation

Latent Structure

Online Discussion

Natural Language

Top Venues

Publications

Saul Santos, Vlad Niculae, Daniel C. McNamee, André F. T. Martins
Sparse and Structured Hopfield Networks. CoRR (2024)
Sergey Troshin, Vlad Niculae, Antske Fokkens
ARM: Efficient Guided Decoding with Autoregressive Reward Models. CoRR (2024)
Wafaa Mohammed, Vlad Niculae
On Measuring Context Utilization in Document-Level MT Systems. EACL (Findings) (2024)
Wafaa Mohammed, Vlad Niculae
On Measuring Context Utilization in Document-Level MT Systems. CoRR (2024)
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
DAG Learning on the Permutahedron. ICLR (2023)
David Stap, Vlad Niculae, Christof Monz
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. CoRR (2023)
Ali Araabi, Vlad Niculae, Christof Monz
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables. CoRR (2023)
Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins
Discrete Latent Structure in Neural Networks. CoRR (2023)
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
DAG Learning on the Permutahedron. CoRR (2023)
Sergey Troshin, Vlad Niculae
Wrapped β-Gaussians with compact support for exact probabilistic modeling on manifolds. Trans. Mach. Learn. Res. 2023 (2023)
David Stap, Vlad Niculae, Christof Monz
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. EMNLP (Findings) (2023)
Evgeniia Tokarchuk, Vlad Niculae
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation. CoRR (2023)
Vlad Niculae
Two derivations of Principal Component Analysis on datasets of distributions. CoRR (2023)
Ali Araabi, Christof Monz, Vlad Niculae
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? AMTA (2022)
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 (2022)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Modeling Structure with Undirected Neural Networks. CoRR (2022)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Modeling Structure with Undirected Neural Networks. ICML (2022)
Evgeniia Tokarchuk, Vlad Niculae
On Target Representation in Continuous-output Neural Machine Translation. RepL4NLP@ACL (2022)
Ali Araabi, Christof Monz, Vlad Niculae
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? CoRR (2022)
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
Sparse Communication via Mixed Distributions. ICLR (2022)
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
Sparse Communication via Mixed Distributions. CoRR (2021)
Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
Learning Binary Decision Trees by Argmin Differentiation. ICML (2021)
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 (2021)
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins
Sparse And Structured Visual Attention. ICIP (2021)
Mathieu Blondel, André F. T. Martins, Vlad Niculae
Learning with Fenchel-Young losses. J. Mach. Learn. Res. 21 (2020)
Vlad Niculae, André F. T. Martins
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. ICML (2020)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. CoRR (2020)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. EMNLP (1) (2020)
Vlad Niculae, André F. T. Martins
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. CoRR (2020)
Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
Learning Binary Trees via Sparse Relaxation. CoRR (2020)
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. CoRR (2020)
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins
Sparse and Structured Visual Attention. CoRR (2020)
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 (2020)
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. NeurIPS (2020)
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)
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins
Adaptively Sparse Transformers. EMNLP/IJCNLP (1) (2019)
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins
Adaptively Sparse Transformers. CoRR (2019)
Mathieu Blondel, André F. T. Martins, Vlad Niculae
Learning with Fenchel-Young Losses. CoRR (2019)
Ben Peters, Vlad Niculae, André F. T. Martins
Sparse Sequence-to-Sequence Models. CoRR (2019)
Mathieu Blondel, André F. T. Martins, Vlad Niculae
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. AISTATS (2019)
André F. T. Martins, Vlad Niculae
Notes on Latent Structure Models and SPIGOT. CoRR (2019)
Ben Peters, Vlad Niculae, André F. T. Martins
Sparse Sequence-to-Sequence Models. ACL (1) (2019)
André F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia, Vlad Niculae
Latent Structure Models for Natural Language Processing. ACL (4) (2019)
Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie
SparseMAP: Differentiable Sparse Structured Inference. ICML (2018)
Vlad Niculae, André F. T. Martins, Claire Cardie
Towards Dynamic Computation Graphs via Sparse Latent Structure. EMNLP (2018)
Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie
SparseMAP: Differentiable Sparse Structured Inference. CoRR (2018)
Ben Peters, Vlad Niculae, André F. T. Martins
Interpretable Structure Induction via Sparse Attention. BlackboxNLP@EMNLP (2018)
Vlad Niculae, André F. T. Martins, Claire Cardie
Towards Dynamic Computation Graphs via Sparse Latent Structure. CoRR (2018)
Mathieu Blondel, André F. T. Martins, Vlad Niculae
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. CoRR (2018)
Vlad Niculae, Joonsuk Park, Claire Cardie
Argument Mining with Structured SVMs and RNNs. CoRR (2017)
Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda
Multi-output Polynomial Networks and Factorization Machines. CoRR (2017)
Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda
Multi-output Polynomial Networks and Factorization Machines. NIPS (2017)
Vlad Niculae, Joonsuk Park, Claire Cardie
Argument Mining with Structured SVMs and RNNs. ACL (1) (2017)
Vlad Niculae, Mathieu Blondel
A Regularized Framework for Sparse and Structured Neural Attention. NIPS (2017)
Vlad Niculae, Mathieu Blondel
A Regularized Framework for Sparse and Structured Neural Attention. CoRR (2017)
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)
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. CoRR (2016)
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. WWW (2016)
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
Conversational Markers of Constructive Discussions. HLT-NAACL (2016)
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
Conversational Markers of Constructive Discussions. CoRR (2016)
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)
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)
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 (2015)
Marcos Zampieri, Alina Maria Ciobanu, Vlad Niculae, Liviu P. Dinu
AMBRA: A Ranking Approach to Temporal Text Classification. SemEval@NAACL-HLT (2015)
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 (2015)
Liviu P. Dinu, Alina Maria Ciobanu, Ioana Chitoran, Vlad Niculae
Using a machine learning model to assess the complexity of stress systems. LREC (2014)
Vlad Niculae, Marcos Zampieri, Liviu P. Dinu, Alina Maria Ciobanu
Temporal Text Ranking and Automatic Dating of Texts. EACL (2014)
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
Brighter than Gold: Figurative Language in User Generated Comparisons. EMNLP (2014)
Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
Romanian Syllabication Using Machine Learning. TSD (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
API design for machine learning software: experiences from the scikit-learn project. CoRR (2013)
Alina Maria Ciobanu, Anca Dinu, Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
Temporal classification for historical Romanian texts. LaTeCH@ACL (2013)
Vlad Niculae
Comparison pattern matching and creative simile recognition. JSSP (2013)
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)
Liviu P. Dinu, Octavia-Maria Sulea, Vlad Niculae
Sequence Tagging for Verb Conjugation in Romanian. RANLP (2013)
Vlad Niculae, Octavian Popescu
Determining is-a relationships for Textual Entailment. JSSP (2013)
Vlad Niculae, Victoria Yaneva
Computational considerations of comparisons and similes. ACL (Student Research Workshop) (2013)
Liviu Petrisor Dinu, Vlad Niculae, Octavia-Maria Sulea
Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs. EACL (2012)
Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
Dealing with the Grey Sheep of the Romanian Gender System, the Neuter. COLING (Demos) (2012)
Iulia Danaila, Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
String Distances for Near-duplicate Detection. Polibits 45 (2012)
Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System. LREC (2012)
Liviu Petrisor Dinu, Emil Ionescu, Vlad Niculae, Octavia-Maria Sulea
Can Alternations Be Learned? A Machine Learning Approach To Romanian Verb Conjugation. RANLP (2011)