Hae Beom Lee
14 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (25)
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Conference Polyglot
(4)
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Academic Marathon
(7)
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Triple Crown
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Dynamic Duo
(13)
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Prolific Year
(5)
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Century Club
(14)
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Trend Setter
Conferences
ICLR (6)
ICML (4)
NIPS (3)
INTERSPEECH (1)
Top co-authors
Keywords
few-shot learning
(3)
multi-task learning
(2)
variational inference
(2)
transfer learning
(2)
face recognition
(1)
neural architecture
(1)
speaker embedding
(1)
speaker verification
(1)
speaker recognition
(1)
gradient descent
(1)
feature sharing
(1)
adaptive dropout
(1)
electronic health record
(1)
uncertainty calibration
(1)
generalization performance
(1)
negative transfer
(1)
risk prediction
(1)
prototypical network
(1)
ensemble classifier
(1)
classification performance
(1)
Papers
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
ICML 2025
Delta-AI: Local objectives for amortized inference in sparse graphical models
ICLR 2024
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
ICLR 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation
ICLR 2022
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
ICLR 2022
Large-Scale Meta-Learning with Continual Trajectory Shifting
ICML 2021
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
INTERSPEECH 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
NIPS 2020
Meta Dropout: Learning to Perturb Latent Features for Generalization
ICLR 2020
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
ICLR 2020
Meta Variance Transfer: Learning to Augment from the Others
ICML 2020
Deep Asymmetric Multi-task Feature Learning
ICML 2018
DropMax: Adaptive Variational Softmax
NIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
NIPS 2018