Vlad Niculae

According to our database1, Vlad Niculae authored at least 55 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Sparse and Structured Hopfield Networks.
CoRR, 2024

On Measuring Context Utilization in Document-Level MT Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation.
CoRR, 2023

Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables.
CoRR, 2023

Two derivations of Principal Component Analysis on datasets of distributions.
CoRR, 2023

Discrete Latent Structure in Neural Networks.
CoRR, 2023

DAG Learning on the Permutahedron.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Sparse Continuous Distributions and Fenchel-Young Losses.
J. Mach. Learn. Res., 2022

On Target Representation in Continuous-output Neural Machine Translation.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Modeling Structure with Undirected Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Sparse Communication via Mixed Distributions.
Proceedings of the Tenth International Conference on Learning Representations, 2022

How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021
Learning Binary Decision Trees by Argmin Differentiation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Sparse And Structured Visual Attention.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Learning with Fenchel-Young losses.
J. Mach. Learn. Res., 2020

Learning Binary Trees via Sparse Relaxation.
CoRR, 2020

Sparse and Continuous Attention Mechanisms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction.
Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Notes on Latent Structure Models and SPIGOT.
CoRR, 2019

Adaptively Sparse Transformers.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Sparse Sequence-to-Sequence Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Latent Structure Models for Natural Language Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, 2019

2018
Learning Deep Models with Linguistically-Inspired Structure.
PhD thesis, 2018

SparseMAP: Differentiable Sparse Structured Inference.
Proceedings of the 35th International Conference on Machine Learning, 2018

Interpretable Structure Induction via Sparse Attention.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Towards Dynamic Computation Graphs via Sparse Latent Structure.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
A Regularized Framework for Sparse and Structured Neural Attention.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-output Polynomial Networks and Factorization Machines.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Argument Mining with Structured SVMs and RNNs.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions.
Proceedings of the 25th International Conference on World Wide Web, 2016

Cornell Belief and Sentiment System at TAC 2016.
Proceedings of the 2016 Text Analysis Conference, 2016

Conversational Markers of Constructive Discussions.
Proceedings of the NAACL HLT 2016, 2016

2015
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns.
Proceedings of the 24th International Conference on World Wide Web, 2015

AMBRA: A Ranking Approach to Temporal Text Classification.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Using a machine learning model to assess the complexity of stress systems.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Brighter than Gold: Figurative Language in User Generated Comparisons.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Temporal Text Ranking and Automatic Dating of Texts.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
API design for machine learning software: experiences from the scikit-learn project.
CoRR, 2013

Romanian Syllabication Using Machine Learning.
Proceedings of the Text, Speech, and Dialogue - 16th International Conference, 2013

Sequence Tagging for Verb Conjugation in Romanian.
Proceedings of the Recent Advances in Natural Language Processing, 2013

Temporal Text Classification for Romanian Novels set in the Past.
Proceedings of the Recent Advances in Natural Language Processing, 2013

Temporal classification for historical Romanian texts.
Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, 2013

Computational considerations of comparisons and similes.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Determining is-a relationships for Textual Entailment.
Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora, 2013

Comparison pattern matching and creative simile recognition.
Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora, 2013

2012
String Distances for Near-duplicate Detection.
Polibits, 2012

The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs.
Proceedings of the EACL 2012, 2012

Dealing with the Grey Sheep of the Romanian Gender System, the Neuter.
Proceedings of the COLING 2012, 2012

2011
Can Alternations Be Learned? A Machine Learning Approach To Romanian Verb Conjugation.
Proceedings of the Recent Advances in Natural Language Processing, 2011


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