3 papers
cs.LG2025
VRAIL: Vectorized Reward-based Attribution for Interpretable Learning
Jina Kim, Youjin Jang, Jeongjin Han
We propose VRAIL (Vectorized Reward-based Attribution for Interpretable Learning), a bi-level framework for value-based reinforcement learning (RL) that learns interpretable weight…
cs.LG2025
Teaching AI to Remember: Insights from Brain-Inspired Replay in Continual Learning
Jina Kim
Artificial neural networks (ANNs) continue to face challenges in continual learning, particularly due to catastrophic forgetting, the loss of previously learned knowledge when acqu…
eess.IV2025
SNeRV: Spectra-preserving Neural Representation for Video
Jina Kim, Jihoo Lee, Je-Won Kang
Neural representation for video (NeRV), which employs a neural network to parameterize video signals, introduces a novel methodology in video representations. However, existing NeR…