Jeffrey Willette

According to our database, Jeffrey Willette authored at least 9 papers between 2021 and 2023.

Collaborative distances:

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

2023

SEA: Sparse Linear Attention with Estimated Attention Mask.

Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang

CoRR, 2023

Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation.

Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2023

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders.

Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Universal Mini-Batch Consistency for Set Encoding Functions.

Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang

CoRR, 2022

Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty.

Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

MPViT: Multi-Path Vision Transformer for Dense Prediction.

Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty.

Jeffrey Ryan Willette, Haebeom Lee, Juho Lee, Sung Ju Hwang

CoRR, 2021

Improving Uncertainty Calibration via Prior Augmented Data.

Jeffrey Willette, Juho Lee, Sung Ju Hwang

CoRR, 2021

Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding.

Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021