Jaekyun Moon
16 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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Conferences
NIPS (6)
ICML (5)
ICLR (3)
AAAI (2)
Top co-authors
Keywords
federated learning
(4)
communication efficiency
(3)
few-shot learning
(3)
model aggregation
(2)
domain generalization
(2)
out-of-distribution generalization
(2)
adversarial robustness
(2)
data augmentation
(1)
attention mechanism
(1)
adversarial learning
(1)
model robustness
(1)
knowledge distillation
(1)
distributed optimization
(1)
distributed learning
(1)
style transfer
(1)
adversarial training
(1)
embedding space
(1)
incremental learning
(1)
test-time adaptation
(1)
feature extraction
(1)
Papers
ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization
AAAI 2026
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
ICLR 2025
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
AAAI 2024
Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning
ICML 2024
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation
ICLR 2023
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
ICLR 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
NIPS 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
NIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
NIPS 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
ICML 2023
GenLabel: Mixup Relabeling using Generative Models
ICML 2022
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
NIPS 2021
Few-Round Learning for Federated Learning
NIPS 2021
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
ICML 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
NIPS 2020
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
ICML 2019