Kim, Jung-Eun

11 publications

NeurIPS 2025 Impact of Layer Norm on Memorization and Generalization in Transformers Rishi Singhal, Jung-Eun Kim

AAAI 2025 RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability Vishwesh Sangarya, Jung-Eun Kim

ICML 2025 Safety Alignment Can Be Not Superficial with Explicit Safety Signals Jianwei Li, Jung-Eun Kim

ICLR 2025 Severing Spurious Correlations with Data Pruning Varun Mulchandani, Jung-Eun Kim

TMLR 2025 The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms Fin Amin, Jung-Eun Kim

UAI 2024 Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang, Jung-Eun Kim

NeurIPSW 2024 What Causes a Disparate Impact in a Quantized Model? Abhimanyu Bellam, Jung-Eun Kim

NeurIPSW 2023 Aggregate Representation Measure for Predictive Model Reusability Vishwesh Sangarya, Richard M Bradford, Jung-Eun Kim

NeurIPSW 2023 Cooperative Learning for Cost-Adaptive Inference Xingli Fang, Richard M Bradford, Jung-Eun Kim

NeurIPSW 2023 ReffAKD: Resource-Efficient Autoencoder-Based Knowledge Distillation Divyang Doshi, Jung-Eun Kim

NeurIPS 2022 Pruning Has a Disparate Impact on Model Accuracy Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu