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2020 – today
- 2024
[c15]Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu:
Revealing Vision-Language Integration in the Brain with Multimodal Networks. ICML 2024- [c14]Christopher Wang, Adam Uri Yaari, Aaditya Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt, Pranav Misra, Joseph R. Madsen, Scellig Stone, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu:
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli. NeurIPS 2024 - [i10]Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu:
Revealing Vision-Language Integration in the Brain with Multimodal Networks. CoRR abs/2406.14481 (2024) - [i9]Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen-Ling Kuo, Ignacio Cases, Andrei Barbu, Christopher J. Cueva:
Baba Is AI: Break the Rules to Beat the Benchmark. CoRR abs/2407.13729 (2024) - 2023
- [c13]Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu:
BrainBERT: Self-supervised representation learning for intracranial recordings. ICLR 2023 - [i8]Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu:
BrainBERT: Self-supervised representation learning for intracranial recordings. CoRR abs/2302.14367 (2023) - 2022
- [c12]Emily Cheng, Yen-Ling Kuo, Josefina Correa, Boris Katz, Ignacio Cases, Andrei Barbu:
Quantifying the Emergence of Symbolic Communication. CogSci 2022 - [c11]Adam Uri Yaari, Jan DeWitt, Henry Hu, Bennett Stankovits, Sue Felshin, Yevgeni Berzak, Helena Aparicio, Boris Katz, Ignacio Cases, Andrei Barbu:
The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank. EMNLP 2022: 9531-9539 - [c10]Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish:
Continual Learning In Environments With Polynomial Mixing Times. NeurIPS 2022 - 2021
- [i7]Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish:
Continual Learning In Environments With Polynomial Mixing Times. CoRR abs/2112.07066 (2021) - 2020
- [c9]Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro:
On the Role of Weight Sharing During Deep Option Learning. AAAI 2020: 5519-5526
2010 – 2019
- 2019
- [c8]Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Posing Fair Generalization Tasks for Natural Language Inference. EMNLP/IJCNLP (1) 2019: 4484-4494 - [c7]Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro:
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. ICLR (Poster) 2019 - [c6]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:
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) 2019: 3631-3648 - [i6]Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger:
Routing Networks and the Challenges of Modular and Compositional Computation. CoRR abs/1904.12774 (2019) - [i5]Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Posing Fair Generalization Tasks for Natural Language Inference. CoRR abs/1911.00811 (2019) - [i4]Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro:
On the Role of Weight Sharing During Deep Option Learning. CoRR abs/1912.13408 (2019) - 2018
- [i3]Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro:
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. CoRR abs/1810.11910 (2018) - [i2]Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences. CoRR abs/1810.13033 (2018) - 2017
- [i1]Ignacio Cases, Minh-Thang Luong, Christopher Potts:
On the Effective Use of Pretraining for Natural Language Inference. CoRR abs/1710.02076 (2017) - 2016
- [c5]Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff:
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. EMNLP 2016: 44-54 - 2014
- [c4]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:
Discovering Conceptual Metaphors using Source Domain Spaces. CogALex@COLING 2014: 210-220 - [c3]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:
A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors. LREC 2014: 2495-2500 - [c2]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:
Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings. LREC 2014: 2800-2805 - 2013
- [c1]George Aaron Broadwell
, Umit Boz, Ignacio Cases, Tomek Strzalkowski, Laurie Feldman, Sarah M. Taylor, Samira Shaikh, Ting Liu, Kit Cho, Nick Webb:
Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora. SBP 2013: 102-110
Coauthor Index
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