About Me
I am currently a PhD student at KAIST, studying at the Machine Learning and Artificial Intelligence Lab under Professor Sung Ju Hwang. My research interests include:
- Large Language Models
- Efficient Transformers
- Self-Supervised Learning
- Permutation Invariant Neural Networks
- Computer Vision
- Bayesian Deep Learning
Conference Publications
[c6] SEA: Sparse Linear Attention with Estimated Attention Mask
- Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang (*: equal contribution)
- [ICLR 2024] [Open Review] [arxiv] [bibtex]
[w1] Visulizing the Loss Landscape of Self-Supervised Vision Transformers
- Youngwan Lee, Jeffrey Willette, Jonghee Kim, Sung Ju Hwang
- [NeurIPS 2023 - SSL Theory and Practice (workshop)] [Presentation]
[c5] 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 (*: equal contribution)
- [ICML 2023] [Open Review] [arxiv] [bibtex]
[c4] Exploring the Role of Mean Teachers in Self-Supervised Masked Auto-Encoders
- Youngwan Lee*, Jeffrey Willette*, Jonghee Kim, Juho Lee, Sung Ju Hwang (*:equal contribution)
- [ICLR 2023] [Open Review] [arxiv] [bibtex]
[c3] MPViT: Multi-Path Vision Transformer for Dense Prediction
[c2] Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
- Jeffrey Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang
- [ICLR 2022] [Open Review] [arxiv] [bibtex]
[c1] MiniBatch Consistent Slot Set Encoder for Scalable Set Encoding
- Bruno Andreis, Jeffrey Willette, Juho Lee, Sung Ju Hwang
- [NeurIPS 2021] [Open Review] [arxiv] [bibtex]