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cs.LG2024
MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
Seungbeom Hu, ChanJun Park, Andrew Ferraiuolo +4
Determining the optimal size of a neural network is critical, as it directly impacts runtime performance and memory usage. Pruning is a well-established model compression technique…
cs.CV2024
Application of Disentanglement to Map Registration Problem
Hae Jin Song, Patrycja Krawczuk, Po-Hsuan Huang
Geospatial data come from various sources, such as satellites, aircraft, and LiDAR. The variability of the source is not limited to the types of data acquisition techniques, as we…
cs.LG2024
ManiFPT: Defining and Analyzing Fingerprints of Generative Models
Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed
Recent works have shown that generative models leave traces of their underlying generative process on the generated samples, broadly referred to as fingerprints of a generative mod…