Kim, Il-Min

7 publications

ICML 2025 Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori, Il Min Kim, Guanghui Wang

CVPR 2025 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data Yuchuan Li, Jae-Mo Kang, Il-Min Kim

TMLR 2025 Combating Inter-Task Confusion and Catastrophic Forgetting by Metric Learning and Re-Using a past Trained Model Sayedmoslem Shokrolahi, Il Min Kim

ICLR 2025 Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori, Il Min Kim, Guanghui Wang

NeurIPS 2025 NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data Azadeh Motamedi, Jae-Mo Kang, Il-Min Kim

ICCV 2025 PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection Mahdiyar Molahasani, Azadeh Motamedi, Michael Greenspan, Il-Min Kim, Ali Etemad

TMLR 2024 Modular Federated Contrastive Learning with Twin Normalization for Resource-Limited Clients Azadeh Motamedi, Il Min Kim