Principal Investigator of INTERACT (Interactive Machine Learning for Compositional Models of Natural Language)
a research project funded by the ERC (2020-2025).
Analyzing Text Representations by Measuring Task Alignment,
C. Gonzalez-Gutierrez, A. Primadhanty, F. Cazzaro and A. Quattoni ACL 2023, Toronto, USA.
[pdf]
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing,
F. Cazzaro, D. Locatelli, A. Quattoni and X.Carreras. Findings of ACL: EACL 2023, Dubrovnik, HR.
[pdf]
Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers,
D. Locatelli and A. Quattoni. Proceedings of the Eleventh Joint Conference on Lexical and Computational Semantics (*SEM) 2022, Seattle, WA.
[pdf][github]
Minimizing Annotation Effort via Max-Volume Spectral Sampling,
A. Quattoni and X.Carreras. Findings of ACL: EMNLP 2021, Punta Cana, Dominican Republic.
[pdf][talk]
A comparison between CNNs and WFAs for Sequence Classification,
A. Quattoni and X.Carreras. Workshop SustaiNLP, EMNLP 2020.
[pdf][talk]
Interpolated Spectral NGram Language Models,
A. Quattoni and X.Carreras. ACL 2019.
[pdf][talk]
Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges,
J. Eisner, M. Galle, J. Heinz, A. Quattoni, G. Rabusseau. Workshop on Deep Learning and Formal Languages: Building Bridges, ACL 2019.
[pdf]
Prepositional Phrase Attachment over Word Embedding Products,
P. Madhyastha, C. Carreras, A. Quattoni. IWPT 2017.
[pdf]
A Maximum Matching Algorithm for Basis Selection in Spectral Learning,
A. Quattoni, X. Carreras, M. Galle. AISTATS 2017.
[pdf]
InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas,
G. Ferrero, A. Primadhanty, A. Quattoni. EACL 2017.
[pdf]
Results of the sequence prediction challenge (spice): a competition on learning the next symbol in a sequence,
B. Balle, R. Eyraud, F. Luque, A. Quattoni, S. Verwer. ICGI 2017.
[pdf]
Structured Prediction with Output Embeddings for Semantic Image Annotation,
A. Quattoni, A. Ramisa, P. Madhyastha, E. Simo-Serra, F. Moreno-Noguer. NAACL 2016.
[pdf]
Semantic tuples for evaluation of image sentence generation,
L. Ellebracht, A. Ramisa, P. Madhyastha, J. Cordero-Rama, F. Moreno-Noguer, A. Quattoni. Worshop on Vision and Language 2015.
[pdf]
Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification,
A. Primadhanty, X. Carreras, A. Quattoni. ACL 2015.
[pdf]
Spectral Learning of Weighted Automata: A Forward-Backward Perspective,
B. Balle, X. Carreras, F. Luque, A. Quattoni. MLJ 2014, Special Issue on Grammatical Inference.
[pdf]
Tailoring Word Embeddings For Bilexicl Predictions: An Experimental Comparison,
P. Madhyastha, C. Carreras, A. Quattoni. ICLR 2014.
[pdf]
Spectral Regularization for Max-Margin Sequence Tagging,
A. Quattoni, B. Balle, C. Carreras, A.Globerson. ICML 2014.
[pdf]
Learning Task-Specific Bilexical Embeddings,
P. Madhyastha, C. Carreras, A. Quattoni. COLING 2014.
[pdf]
Unsupervised Learning of Finite State Transducers,
R. Bailly, X. Carreras, A. Quattoni. NIPS 2013.
[pdf]
Unsupervised Spectral Learning of WCFG as Low-rankMatrix Completion,
R. Bailly, X. Carreras, F. Luque, A. Quattoni. EMNLP 2013.
[pdf]
Spectral Learning of Sequence Taggers over Continuos Sequences,
A. Recasens, A. Quattoni. ECML 2013.
[pdf]
A Joint Model for 2D and 3D Pose Estimation from a Single Image,
E. Simo-Serra, A. Quattoni, F. Moreno-Noguer, C. Torras.CVPR 2013.
[pdf]
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning,
B. Balle, A.Quattoni, X. Carreras. ICML 2012.
[pdf]
Spectral Learning for Non-Deterministic Dependency Parsing,
F. Luque, A. Quattoni, B. Balle, X. Carreras. EACL 2012, Best Paper Award.
[pdf]
A Latent Variable Ranking Model for Content-based Retrieval,
A. Quattoni, X. Carreras, A. Torralba. ECIR 2012.
[pdf]
A Spectral Learning Algorithm for Finite State Transducers,
B. Balle, A. Quattoni, X. Carreras. ECML 2011.
[pdf]
An Efficient Projection for L1,Infinity Regularization,
A. Quattoni, X. Carreras, M. Collins, T. Darrell. ICML 2009.
[pdf]
Recognizing Indoor Scenes,
A. Quattoni, A. Torralba. CVPR 2009.
[pdf]
Transfer Learning for Image Classification with Sparse Prototype Representations,
A. Quattoni, M. Collins, T. Darrell. CVPR 2008.
[pdf]
Learning Visual Representations using Images with Captions,
A. Quattoni, M. Collins, T. Darrell. CVPR 2007.
[pdf]
Hidden-state Conditional Random Fields,
A. Quattoni, S. Wang, L.P. Morency, M. Collins, and T. Darrell. IEEE PAMI, 2007
[pdf]
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition,
L.P. Morency, A. Quattoni, T. Darrell. CVPR 2007.
[pdf]
Hidden Conditional Random Fields for Gesture Recognition,
S.Wang, A. Quattoni, L.P. Morency, D. Demirdjian, T. Darrell. CVPR 2006.
[pdf]
Incorporating Semantic Constraints into a Discriminative Categorization and Labeling Model,
A. Quattoni, M. Collins, T. Darrell. Workshop on Semantic Knowledge in Vision, ICCV, 2005.
[pdf]
Conditional Random Fields for Object Recognition,
A. Quattoni, M. Collins, T. Darrell. NIPS 2004.
[pdf]
Technical Reports
Spectral Learning of Transducers Over Continuous Sequences,
A. Recasens, A. Quattoni,
UPC TR 2012 .
Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space,
R. Urtasun, A. Quattoni, N. Lawrence, T. Darrell,
MIT TR 2008 .
[pdf]
A Projected Subgradient Method for Scalable Multi-Task Learning,
A. Quattoni, X. Carreras, M. Collins, T. Darrel,
MIT TR 2008 2008.
[pdf]
Thesis
Transfer Learning Algorithms for Image Classification,
Phd Thesis,
Massachussetts Institure of Technology 2009.
[pdf]
Latent Conditional Random Fields for Object Recognition,
Master Thesis,
Massachussetts Institute of Technology 2005.
[pdf]
