Skyler Seto

According to our database, Skyler Seto authored at least 24 papers between 2015 and 2025.

Collaborative distances:

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

2025

Assessing the Role of Data Quality in Training Bilingual Language Models.

Skyler Seto, Maartje ter Hoeve, Maureen de Seyssel, David Grangier

CoRR, June, 2025

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.

Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind

CoRR, May, 2025

Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks.

Maureen de Seyssel, Jie Chi, Skyler Seto, Maartje ter Hoeve, Masha Fedzechkina, Natalie Schluter

CoRR, May, 2025

Analyze the Neurons, not the Embeddings: Understanding When and Where LLM Representations Align with Humans.

Masha Fedzechkina, Eleonora Gualdoni, Sinead Williamson, Katherine Metcalf, Skyler Seto, Barry-John Theobald

CoRR, February, 2025

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging.

Pierre Ablin, Angelos Katharopoulos, Skyler Seto, David Grangier

CoRR, February, 2025

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling.

David Grangier, Simin Fan, Skyler Seto, Pierre Ablin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models.

Anirudh Sundar, Sinead Williamson, Katherine Metcalf, Barry-John Theobald, Skyler Seto, Masha Fedzechkina

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Training Bilingual LMs with Data Constraints in the Targeted Language.

Skyler Seto, Maartje ter Hoeve, Richard He Bai, Natalie Schluter, David Grangier

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Learning Spatially-Aware Language and Audio Embedding.

Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia

CoRR, 2024

REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation.

Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning Spatially-Aware Language and Audio Embeddings.

Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP.

Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Joshua M. Susskind

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?

Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung, Skyler Seto, Tatiana Likhomanenko, Stephen Shum, Ahmed Hussen Abdelaziz, Shinji Watanabe, Barry-John Theobald

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization.

Yong Lin, Skyler Seto, Maartje ter Hoeve, Katherine Metcalf, Barry-John Theobald, Xuan Wang, Yizhe Zhang, Chen Huang, Tong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning.

Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

On the Role of LIP Articulation in Visual Speech Perception.

Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Understanding the Robustness of Multi-Exit Models under Common Corruptions.

Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald

CoRR, 2022

Towards a Perceptual Model for Estimating the Quality of Visual Speech.

Zakaria Aldeneh, Masha Fedzechkina, Skyler Seto, Katherine Metcalf, Miguel Sarabia, Nicholas Apostoloff, Barry-John Theobald

CoRR, 2022

FORML: Learning to Reweight Data for Fairness.

Bobby Yan, Skyler Seto, Nicholas Apostoloff

CoRR, 2022

2021

HALO: Learning to Prune Neural Networks with Shrinkage.

Skyler Seto, Martin T. Wells, Wenyu Zhang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training.

Skyler Seto, Martin T. Wells, Wenyu Zhang

CoRR, 2020

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context.

Wenyu Zhang, Skyler Seto, Devesh K. Jha

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2015

Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition.

Skyler Seto, Wenyu Zhang, Yichen Zhou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015