4 papers
MAPLE: Modality-Aware Post-training and Learning Ecosystem
Nikhil Verma, Minjung Kim, JooYoung Yoo +5
Multimodal language models now integrate text, audio, and video for unified reasoning. Yet existing RL post-training pipelines treat all input signals as equally relevant, ignoring…
ABM-LoRA: Activation Boundary Matching for Fast Convergence in Low-Rank Adaptation
Dongha Lee, Jinhee Park, Minjun Kim +1
We propose Activation Boundary Matching for Low-Rank Adaptation (ABM-LoRA), a principled initialization strategy that substantially accelerates the convergence of low-rank adapters…
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
Minje Kim, Minjun Kim, Xu Yang
Spiking Neural Networks (SNNs) present a more energy-efficient alternative to Artificial Neural Networks (ANNs) by harnessing spatio-temporal dynamics and event-driven spikes. Effe…
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning
Minjun Kim, Minjee Kim, Jinhoon Jeong
Generative models trained on multi-institutional datasets can provide an enriched understanding through diverse data distributions. However, training the models on medical images i…