Ignacio Cases

According to our database, Ignacio Cases authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BrainBERT: Self-supervised representation learning for intracranial recordings.

Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Continual Learning In Environments With Polynomial Mixing Times.

Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank.

Adam Uri Yaari, Jan DeWitt, Henry Hu, Bennett Stankovits, Sue Felshin, Yevgeni Berzak, Helena Aparicio, Boris Katz, Ignacio Cases, Andrei Barbu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Quantifying the Emergence of Symbolic Communication.

Emily Cheng, Yen-Ling Kuo, Josefina Correa, Boris Katz, Ignacio Cases, Andrei Barbu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

On the Role of Weight Sharing During Deep Option Learning.

Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Routing Networks and the Challenges of Modular and Compositional Computation.

Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger

CoRR, 2019

Recursive Routing Networks: Learning to Compose Modules for Language Understanding.

Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro

Proceedings of the 7th International Conference on Learning Representations, 2019

Posing Fair Generalization Tasks for Natural Language Inference.

Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts

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

2018

Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences.

Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts

CoRR, 2018

2017

On the Effective Use of Pretraining for Natural Language Inference.

Ignacio Cases, Minh-Thang Luong, Christopher Potts

CoRR, 2017

2016

Distinguishing Past, On-going, and Future Events: The EventStatus Corpus.

Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors.

Samira Shaikh, Tomek Strzalkowski, Ting Liu, George Aaron Broadwell, Boris Yamrom, Sarah M. Taylor, Laurie Feldman, Kit Cho, Umit Boz, Ignacio Cases, Yuliya Peshkova, Ching-Sheng Lin

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings.

Ting Liu, Kit Cho, George Aaron Broadwell, Samira Shaikh, Tomek Strzalkowski, John Lien, Sarah M. Taylor, Laurie Feldman, Boris Yamrom, Nick Webb, Umit Boz, Ignacio Cases, Ching-Sheng Lin

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Discovering Conceptual Metaphors using Source Domain Spaces.

Samira Shaikh, Tomek Strzalkowski, Kit Cho, Ting Liu, George Aaron Broadwell, Laurie Feldman, Sarah M. Taylor, Boris Yamrom, Ching-Sheng Lin, Ning Sa, Ignacio Cases, Yuliya Peshkova, Kyle Elliot

Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon, 2014

2013

Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora.

George Aaron Broadwell, Umit Boz, Ignacio Cases, Tomek Strzalkowski, Laurie Feldman, Sarah M. Taylor, Samira Shaikh, Ting Liu, Kit Cho, Nick Webb

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013