Hae Beom Lee
14 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Pioneer
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Dynamic Duo
(13)
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Century Club Β· Bronze
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(60)
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Trend Setter
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Prolific Year Β· Productive
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Research topics
Machine Learning
(13)
Artificial Intelligence
(9)
Learning Paradigms Β· Artificial Intelligence
(7)
Deep Learning
(5)
Learning Types
(5)
Optimization & Theory
(5)
Application Areas
(4)
Learning Paradigms Β· Machine Learning
(4)
Core Methods
(3)
Models
(3)
Core AI
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Speech & Audio
(1)
Analysis
(1)
Keywords
multi-task learning
(3)
variational inference
(3)
few-shot learning
(3)
transfer learning
(2)
few-shot classification
(2)
data augmentation
(2)
negative transfer
(2)
cross-lingual transfer
(1)
online learning
(1)
catastrophic forgetting
(1)
knowledge distillation
(1)
attention mechanism
(1)
class imbalance
(1)
face recognition
(1)
uncertainty quantification
(1)
speaker recognition
(1)
speaker verification
(1)
speaker embedding
(1)
neural architecture
(1)
hyperparameter optimization
(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
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
ICLR 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation
ICLR 2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
ICLR 2022
Large-Scale Meta-Learning with Continual Trajectory Shifting
ICML 2021
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
ICLR 2020
Meta Dropout: Learning to Perturb Latent Features for Generalization
ICLR 2020
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
Interspeech 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
NeurIPS 2020
Meta Variance Transfer: Learning to Augment from the Others
ICML 2020
Deep Asymmetric Multi-task Feature Learning
ICML 2018
DropMax: Adaptive Variational Softmax
NeurIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
NeurIPS 2018