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Jeffrey Willette
Jeffrey Willette
KAIST, PhD Candidate
Adresse e-mail validée de kaist.ac.kr - Page d'accueil
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MPViT: Multi-path vision transformer for dense prediction
Y Lee, J Kim, J Willette, SJ Hwang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3412022
Exploring the role of mean teachers in self-supervised masked auto-encoders
Y Lee, J Willette, J Kim, J Lee, SJ Hwang
arXiv preprint arXiv:2210.02077, 2022
122022
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
A Bruno, J Willette, J Lee, SJ Hwang
Advances in Neural Information Processing Systems 34, 21365-21374, 2021
9*2021
SEA: Sparse Linear Attention with Estimated Attention Mask
H Lee, J Kim, J Willette, SJ Hwang
arXiv preprint arXiv:2310.01777, 2023
42023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
J Willette, S Lee, B Andreis, K Kawaguchi, J Lee, SJ Hwang
International Conference on Machine Learning 40, 2023
22023
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
JR Willette, HB Lee, J Lee, SJ Hwang
arXiv preprint arXiv:2110.06381, 2021
22021
Training-Free Exponential Context Extension via Cascading KV Cache
J Willette, H Lee, Y Lee, M Jeon, SJ Hwang
arXiv preprint arXiv:2406.17808, 2024
1*2024
Visualizing the loss landscape of Self-supervised Vision Transformer
Y Lee, J Willette, J Kim, SJ Hwang
NeurIPS 2023 Workshop: Self Supervised Learning (Theory and Practice), 2023
2023
Improving Uncertainty Calibration via Prior Augmented Data
J Willette, J Lee, SJ Hwang
arXiv preprint arXiv:2102.10803, 2021
2021
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