Giung Nam
11 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (4) 🏆 Keyword Champion (2)
🤝
Dynamic Duo
(11)
💎
Century Club
(11)
🔥
Unstoppable
(5)
Conferences
ICLR (6)
ICML (3)
NIPS (2)
Top co-authors
Keywords
knowledge distillation
(2)
image classification
(2)
neural network ensemble
(2)
neural network
(2)
deep ensemble
(2)
ensemble distillation
(1)
weight averaging
(1)
mode connectivity
(1)
inference cost
(1)
generalization performance
(1)
model diversity
(1)
bridge network
(1)
low-loss subspace
(1)
model compression
(1)
low precision computing
(1)
ensemble learning
(1)
model calibration
(1)
model merging
(1)
model ensemble
(1)
Papers
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
ICLR 2025
Ensemble Distribution Distillation via Flow Matching
ICML 2025
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
ICLR 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
ICLR 2024
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
NIPS 2024
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
ICLR 2024
Decoupled Training for Long-Tailed Classification With Stochastic Representations
ICLR 2023
Martingale Posterior Neural Processes
ICLR 2023
Traversing Between Modes in Function Space for Fast Ensembling
ICML 2023
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
ICML 2022
Diversity Matters When Learning From Ensembles
NIPS 2021