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Lee, Hae Beom
14 publications
ICML
2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Dongwoo Lee
,
Dong Bok Lee
,
Steven Adriaensen
,
Juho Lee
,
Sung Ju Hwang
,
Frank Hutter
,
Seon Joo Kim
,
Hae Beom Lee
NeurIPS
2025
Cost-Sensitive Freeze-Thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee
,
Aoxuan Silvia Zhang
,
Byungjoo Kim
,
Junhyeon Park
,
Steven Adriaensen
,
Juho Lee
,
Sung Ju Hwang
,
Hae Beom Lee
ICLR
2024
Delta-AI: Local Objectives for Amortized Inference in Sparse Graphical Models
Jean-Pierre René Falet
,
Hae Beom Lee
,
Nikolay Malkin
,
Chen Sun
,
Dragos Secrieru
,
Dinghuai Zhang
,
Guillaume Lajoie
,
Yoshua Bengio
ICLR
2022
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
Jeffrey Ryan Willette
,
Hae Beom Lee
,
Juho Lee
,
Sung Ju Hwang
ICLR
2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Hae Beom Lee
,
Hayeon Lee
,
JaeWoong Shin
,
Eunho Yang
,
Timothy Hospedales
,
Sung Ju Hwang
ICLR
2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
Seanie Lee
,
Hae Beom Lee
,
Juho Lee
,
Sung Ju Hwang
ICML
2021
Large-Scale Meta-Learning with Continual Trajectory Shifting
Jaewoong Shin
,
Hae Beom Lee
,
Boqing Gong
,
Sung Ju Hwang
ICLR
2020
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-Distribution Tasks
Hae Beom Lee
,
Hayeon Lee
,
Donghyun Na
,
Saehoon Kim
,
Minseop Park
,
Eunho Yang
,
Sung Ju Hwang
ICLR
2020
Meta Dropout: Learning to Perturb Latent Features for Generalization
Hae Beom Lee
,
Taewook Nam
,
Eunho Yang
,
Sung Ju Hwang
ICML
2020
Meta Variance Transfer: Learning to Augment from the Others
Seong-Jin Park
,
Seungju Han
,
Ji-Won Baek
,
Insoo Kim
,
Juhwan Song
,
Hae Beom Lee
,
Jae-Joon Han
,
Sung Ju Hwang
NeurIPS
2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeong Un Ryu
,
JaeWoong Shin
,
Hae Beom Lee
,
Sung Ju Hwang
ICML
2018
Deep Asymmetric Multi-Task Feature Learning
Hae Beom Lee
,
Eunho Yang
,
Sung Ju Hwang
NeurIPS
2018
DropMax: Adaptive Variational SoftMax
Hae Beom Lee
,
Juho Lee
,
Saehoon Kim
,
Eunho Yang
,
Sung Ju Hwang
NeurIPS
2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo
,
Hae Beom Lee
,
Saehoon Kim
,
Juho Lee
,
Kwang Joon Kim
,
Eunho Yang
,
Sung Ju Hwang