Ariadna Quattoni

According to our database1, Ariadna Quattoni authored at least 39 papers between 2004 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Align and Augment: Generative Data Augmentation for Compositional Generalization.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Entity Disambiguation on a Tight Labeling Budget.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Analyzing Text Representations by Measuring Task Alignment.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?
CoRR, 2022

Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment.
CoRR, 2022

Measuring Alignment Bias in Neural Seq2seq Semantic Parsers.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

2021
Minimizing Annotation Effort via Max-Volume Spectral Sampling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
A comparison between CNNs and WFAs for Sequence Classification.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

2019
Interpolated Spectral NGram Language Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Prepositional Phrase Attachment over Word Embedding Products.
Proceedings of the 15th International Conference on Parsing Technologies, 2017

InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Maximum Matching Algorithm for Basis Selection in Spectral Learning.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Structured Prediction with Output Embeddings for Semantic Image Annotation.
Proceedings of the NAACL HLT 2016, 2016

Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

2015
Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification.
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

Semantic Tuples for Evaluation of Image to Sentence Generation.
Proceedings of the Fourth Workshop on Vision and Language, 2015

2014
Spectral learning of weighted automata - A forward-backward perspective.
Mach. Learn., 2014

Spectral Regularization for Max-Margin Sequence Tagging.
Proceedings of the 31th International Conference on Machine Learning, 2014

Learning Task-specific Bilexical Embeddings.
Proceedings of the COLING 2014, 2014

2013
Spectral Learning of Sequence Taggers over Continuous Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Unsupervised Spectral Learning of Finite State Transducers.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Joint Model for 2D and 3D Pose Estimation from a Single Image.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Latent Variable Ranking Model for Content-Based Retrieval.
Proceedings of the Advances in Information Retrieval, 2012

Spectral Learning for Non-Deterministic Dependency Parsing.
Proceedings of the EACL 2012, 2012

2011
A Spectral Learning Algorithm for Finite State Transducers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2009
Transfer learning algorithms for image classification.
PhD thesis, 2009

An efficient projection for <i>l</i><sub>1</sub>,<sub>infinity</sub> regularization.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Recognizing indoor scenes.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Transfer learning for image classification with sparse prototype representations.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Hidden Conditional Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Learning Visual Representations using Images with Captions.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Latent-Dynamic Discriminative Models for Continuous Gesture Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Load-Sensitive Routing with Directional Antennas.
Proceedings of the IEEE 17th International Symposium on Personal, 2006

Hidden Conditional Random Fields for Gesture Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2004
Conditional Random Fields for Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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