Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. - Andreis Bruno; Jeffrey Willette; Juho Lee 001; Sung Ju Hwang (NeurIPS, 2021)

Improving Uncertainty Calibration via Prior Augmented Data. - Jeffrey Willette; Juho Lee 001; Sung Ju Hwang (CoRR, 2021)

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. - Jeffrey Ryan Willette; Haebeom Lee; Juho Lee 001; Sung Ju Hwang (CoRR, 2021)

MPViT: Multi-Path Vision Transformer for Dense Prediction. - Youngwan Lee; Jonghee Kim; Jeffrey Willette; Sung Ju Hwang (CVPR, 2022)

Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty. - Jeffrey Ryan Willette; Hae Beom Lee; Juho Lee 001; Sung Ju Hwang (ICLR, 2022)

Universal Mini-Batch Consistency for Set Encoding Functions. - Jeffrey Willette; Andreis Bruno; Juho Lee 001; Sung Ju Hwang (CoRR, 2022)

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. - Youngwan Lee; Jeffrey Ryan Willette; Jonghee Kim; Juho Lee 001; Sung Ju Hwang (ICLR, 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 001; Sung Ju Hwang (ICML, 2023)

SEA: Sparse Linear Attention with Estimated Attention Mask. - Heejun Lee; Jina Kim; Jeffrey Willette; Sung Ju Hwang (ICLR, 2024)

Visualizing the loss landscape of Self-supervised Vision Transformer. - Youngwan Lee; Jeffrey Ryan Willette; Jonghee Kim; Sung Ju Hwang (CoRR, 2024)

Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. - Jeffrey Willette; Heejun Lee; Youngwan Lee; Myeongjae Jeon; Sung Ju Hwang (CoRR, 2024)

Training Free Exponential Context Extension via Cascading KV Cache. - Jeffrey Willette; Heejun Lee; Youngwan Lee; Myeongjae Jeon; Sung Ju Hwang (ICLR, 2025)

Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction. - Jeffrey Willette; Heejun Lee; Sung Ju Hwang (CoRR, 2025)

Robust Molecular Property Prediction via Densifying Scarce Labeled Data. - Jina Kim; Jeffrey Willette; Bruno Andreis; Sung Ju Hwang (CoRR, 2025)