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2020 – today
- 2024
[c7]Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko:
PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin. LREC/COLING 2024: 12749-12760- [c6]Brian DuSell, David Chiang:
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns. ICLR 2024 - [i9]Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko:
PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin. CoRR abs/2404.16341 (2024) - [i8]Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell:
The Foundations of Tokenization: Statistical and Computational Concerns. CoRR abs/2407.11606 (2024) - 2023
- [c5]Brian DuSell, David Chiang:
The Surprising Computational Power of Nondeterministic Stack RNNs. ICLR 2023 - [i7]Brian DuSell:
Nondeterministic Stacks in Neural Networks. CoRR abs/2304.12955 (2023) - [i6]Brian DuSell, David Chiang:
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns. CoRR abs/2310.01749 (2023) - 2022
- [c4]Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang:
Algorithms for Weighted Pushdown Automata. EMNLP 2022: 9669-9680 - [c3]Brian DuSell, David Chiang:
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks. ICLR 2022 - [i5]Brian DuSell, David Chiang:
The Surprising Computational Power of Nondeterministic Stack RNNs. CoRR abs/2210.01343 (2022) - [i4]Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang:
Algorithms for Weighted Pushdown Automata. CoRR abs/2210.06884 (2022) - 2021
- [i3]Brian DuSell, David Chiang:
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks. CoRR abs/2109.01982 (2021) - 2020
- [c2]Brian DuSell, David Chiang:
Learning Context-free Languages with Nondeterministic Stack RNNs. CoNLL 2020: 507-519 - [i2]Brian DuSell, David Chiang:
Learning Context-Free Languages with Nondeterministic Stack RNNs. CoRR abs/2010.04674 (2020)
2010 – 2019
- 2019
- [c1]Kenton Murray, Brian DuSell, David Chiang:
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. NGT@EMNLP-IJCNLP 2019: 297-301 - [i1]Kenton Murray, Brian DuSell, David Chiang:
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. CoRR abs/1910.07134 (2019)
Coauthor Index
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last updated on 2024-08-25 20:08 CEST by the dblp team
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