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Skyler Seto
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2020 – today
- 2024
- [c8]Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) 2024: 14044-14072 - [c7]Yong Lin, Skyler Seto, Maartje ter Hoeve, Katherine Metcalf, Barry-John Theobald, Xuan Wang, Yizhe Zhang, Chen Huang, Tong Zhang:
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization. EMNLP (Findings) 2024: 16015-16026 - [c6]Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge:
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. WACV 2024: 2051-2060 - [i15]Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR abs/2401.16380 (2024) - [i14]Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung, Skyler Seto, Tatiana Likhomanenko, Stephen Shum, Ahmed Hussen Abdelaziz, Shinji Watanabe, Barry-John Theobald:
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? CoRR abs/2402.00340 (2024) - [i13]Yong Lin, Skyler Seto, Maartje ter Hoeve, Katherine Metcalf, Barry-John Theobald, Xuan Wang, Yizhe Zhang, Chen Huang, Tong Zhang:
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization. CoRR abs/2409.03650 (2024) - [i12]Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia:
Learning Spatially-Aware Language and Audio Embedding. CoRR abs/2409.11369 (2024) - [i11]David Grangier, Simin Fan, Skyler Seto, Pierre Ablin:
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling. CoRR abs/2410.03735 (2024) - [i10]Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind:
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. CoRR abs/2410.23698 (2024) - [i9]Skyler Seto, Maartje ter Hoeve, He Bai, Natalie Schluter, David Grangier:
Training Bilingual LMs with Data Constraints in the Targeted Language. CoRR abs/2411.12986 (2024) - 2023
- [c5]Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald:
On the Role of LIP Articulation in Visual Speech Perception. ICASSP 2023: 1-5 - [c4]Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer:
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. INTERSPEECH 2023: 3724-3728 - [i8]Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer:
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. CoRR abs/2308.09514 (2023) - [i7]Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge:
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. CoRR abs/2309.03964 (2023) - 2022
- [i6]Bobby Yan, Skyler Seto, Nicholas Apostoloff:
FORML: Learning to Reweight Data for Fairness. CoRR abs/2202.01719 (2022) - [i5]Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald:
Towards a Perceptual Model for Estimating the Quality of Visual Speech. CoRR abs/2203.10117 (2022) - [i4]Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald:
Understanding the Robustness of Multi-Exit Models under Common Corruptions. CoRR abs/2212.01562 (2022) - 2021
- [c3]Skyler Seto, Martin T. Wells, Wenyu Zhang:
HALO: Learning to Prune Neural Networks with Shrinkage. SDM 2021: 558-566 - 2020
- [c2]Wenyu Zhang, Skyler Seto, Devesh K. Jha:
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. IROS 2020: 7131-7138 - [i3]Wenyu Zhang, Skyler Seto, Devesh K. Jha:
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. CoRR abs/2003.11696 (2020) - [i2]Skyler Seto, Martin T. Wells, Wenyu Zhang:
Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training. CoRR abs/2008.10183 (2020)
2010 – 2019
- 2015
- [c1]Skyler Seto, Wenyu Zhang, Yichen Zhou:
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition. SSCI 2015: 1399-1406 - [i1]Skyler Seto, Wenyu Zhang, Yichen Zhou:
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition. CoRR abs/1512.06747 (2015)
Coauthor Index
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