2 papers
cs.LG2026
Estimating Subgraph Importance with Structural Prior Domain Knowledge
Changhyun Kim, Seunghwan An, Jong-June Jeon
We propose a subgraph importance estimation method for pretrained Graph Neural Networks (GNNs) on graph-level tasks, formulated as a linear Group Lasso regression problem in the em…
cs.CV2026
QATMA: Quantization-Aware Training with Multimodal Alignment for Open-Vocabulary Object Detection
Jinyeong Park, Donghwa Kang, Brent ByungHoon Kang +4
Quantizing open-vocabulary object detection (OVOD) models reduces their memory and computational costs, but extremely low-bit quantization severely degrades both cross-modal (regio…