Minchan Jeong
8 papers · 2022–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (27) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
EMNLP (2)
NIPS (2)
ACL (1)
AISTATS (1)
CVPR (1)
EACL (1)
Top co-authors
Keywords
continual learning
(3)
federated learning
(2)
prompt tuning
(2)
knowledge distillation
(2)
data heterogeneity
(2)
multi-task learning
(1)
robust optimization
(1)
reinforcement learning
(1)
principal component analysis
(1)
gradient descent
(1)
bayesian inference
(1)
text classification
(1)
transfer learning
(1)
preference optimization
(1)
posterior distribution
(1)
bayesian learning
(1)
model alignment
(1)
covariance matrix
(1)
robust statistics
(1)
few-shot learning
(1)
Papers
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
EMNLP 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
ACL 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
CVPR 2024
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
AISTATS 2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective
EACL 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
EMNLP 2023
Robust Streaming PCA
NIPS 2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
NIPS 2022