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Ariadna Quattoni
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2020 – today
- 2024
- [c35]Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni:
Align and Augment: Generative Data Augmentation for Compositional Generalization. EACL (1) 2024: 369-383 - [c34]César Gonzalez-Gutiérrez, Ariadna Quattoni:
Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort. NAACL-HLT 2024: 7003-7017 - 2023
- [c33]César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni:
Analyzing Text Representations by Measuring Task Alignment. ACL (2) 2023: 70-81 - [c32]Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni, Xavier Carreras:
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing. EACL (Findings) 2023: 227-238 - [c31]Audi Primadhanty, Ariadna Quattoni:
Entity Disambiguation on a Tight Labeling Budget. EMNLP (Findings) 2023: 7208-7215 - [i7]César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni:
Analyzing Text Representations by Measuring Task Alignment. CoRR abs/2305.19747 (2023) - 2022
- [c30]Davide Locatelli, Ariadna Quattoni:
Measuring Alignment Bias in Neural Seq2seq Semantic Parsers. *SEM@NAACL-HLT 2022: 200-207 - [i6]Davide Locatelli, Ariadna Quattoni:
Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers. CoRR abs/2205.08288 (2022) - [i5]Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni, Xavier Carreras:
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing. CoRR abs/2210.04878 (2022) - [i4]César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni:
Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment. CoRR abs/2210.05721 (2022) - [i3]Francesco Cazzaro, Ariadna Quattoni, Xavier Carreras:
Are Deep Sequence Classifiers Good at Non-Trivial Generalization? CoRR abs/2210.13082 (2022) - 2021
- [c29]Ariadna Quattoni, Xavier Carreras:
Minimizing Annotation Effort via Max-Volume Spectral Sampling. EMNLP (Findings) 2021: 2890-2899 - 2020
- [c28]Ariadna Quattoni, Xavier Carreras:
A comparison between CNNs and WFAs for Sequence Classification. SustaiNLP@EMNLP 2020: 159-163
2010 – 2019
- 2019
- [c27]Ariadna Quattoni, Xavier Carreras:
Interpolated Spectral NGram Language Models. ACL (1) 2019: 5926-5930 - 2017
- [c26]Ariadna Quattoni, Xavier Carreras, Matthias Gallé:
A Maximum Matching Algorithm for Basis Selection in Spectral Learning. AISTATS 2017: 1477-1485 - [c25]Germán Ferrero, Audi Primadhanty, Ariadna Quattoni:
InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas. EACL (Software Demonstrations) 2017: 104-107 - [c24]Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni:
Prepositional Phrase Attachment over Word Embedding Products. IWPT 2017: 32-43 - [i2]Ariadna Quattoni, Xavier Carreras, Matthias Gallé:
A Maximum Matching Algorithm for Basis Selection in Spectral Learning. CoRR abs/1706.02857 (2017) - 2016
- [c23]Borja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer:
Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence. ICGI 2016: 132-136 - [c22]Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. HLT-NAACL 2016: 552-557 - 2015
- [c21]Audi Primadhanty, Xavier Carreras, Ariadna Quattoni:
Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification. ACL (1) 2015: 126-135 - [c20]Lily D. Ellebracht, Arnau Ramisa, Pranava Swaroop Madhyastha, Jose Cordero-Rama, Francesc Moreno-Noguer, Ariadna Quattoni:
Semantic Tuples for Evaluation of Image to Sentence Generation. VL@EMNLP 2015: 18-28 - [c19]Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni:
Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison. ICLR (Workshop) 2015 - [i1]Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. CoRR abs/1509.02130 (2015) - 2014
- [j2]Borja Balle, Xavier Carreras, Franco M. Luque, Ariadna Quattoni:
Spectral learning of weighted automata - A forward-backward perspective. Mach. Learn. 96(1-2): 33-63 (2014) - [c18]Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni:
Learning Task-specific Bilexical Embeddings. COLING 2014: 161-171 - [c17]Ariadna Quattoni, Borja Balle, Xavier Carreras, Amir Globerson:
Spectral Regularization for Max-Margin Sequence Tagging. ICML 2014: 1710-1718 - 2013
- [c16]Edgar Simo-Serra, Ariadna Quattoni, Carme Torras, Francesc Moreno-Noguer:
A Joint Model for 2D and 3D Pose Estimation from a Single Image. CVPR 2013: 3634-3641 - [c15]Raphaël Bailly, Xavier Carreras, Franco M. Luque, Ariadna Quattoni:
Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion. EMNLP 2013: 624-635 - [c14]Raphaël Bailly, Xavier Carreras, Ariadna Quattoni:
Unsupervised Spectral Learning of Finite State Transducers. NIPS 2013: 800-808 - [c13]Adrià Recasens, Ariadna Quattoni:
Spectral Learning of Sequence Taggers over Continuous Sequences. ECML/PKDD (1) 2013: 289-304 - 2012
- [c12]Franco M. Luque, Ariadna Quattoni, Borja Balle, Xavier Carreras:
Spectral Learning for Non-Deterministic Dependency Parsing. EACL 2012: 409-419 - [c11]Ariadna Quattoni, Xavier Carreras, Antonio Torralba:
A Latent Variable Ranking Model for Content-Based Retrieval. ECIR 2012: 340-351 - [c10]Borja Balle, Ariadna Quattoni, Xavier Carreras:
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning. ICML 2012 - 2011
- [c9]Borja Balle, Ariadna Quattoni, Xavier Carreras:
A Spectral Learning Algorithm for Finite State Transducers. ECML/PKDD (1) 2011: 156-171
2000 – 2009
- 2009
- [b1]Ariadna Quattoni:
Transfer learning algorithms for image classification. Massachusetts Institute of Technology, Cambridge, MA, USA, 2009 - [c8]Ariadna Quattoni, Antonio Torralba:
Recognizing indoor scenes. CVPR 2009: 413-420 - [c7]Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell:
An efficient projection for l1,infinity regularization. ICML 2009: 857-864 - 2008
- [c6]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Transfer learning for image classification with sparse prototype representations. CVPR 2008 - 2007
- [j1]Ariadna Quattoni, Sy Bor Wang, Louis-Philippe Morency, Michael Collins, Trevor Darrell:
Hidden Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1848-1852 (2007) - [c5]Louis-Philippe Morency, Ariadna Quattoni, Trevor Darrell:
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition. CVPR 2007 - [c4]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Learning Visual Representations using Images with Captions. CVPR 2007 - 2006
- [c3]Sy Bor Wang, Ariadna Quattoni, Louis-Philippe Morency, David Demirdjian, Trevor Darrell:
Hidden Conditional Random Fields for Gesture Recognition. CVPR (2) 2006: 1521-1527 - [c2]Sivaram Cheekiralla, Ariadna Quattoni, Daniel W. Engels:
Load-Sensitive Routing with Directional Antennas. PIMRC 2006: 1-5 - 2004
- [c1]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Conditional Random Fields for Object Recognition. NIPS 2004: 1097-1104
Coauthor Index
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