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cs.LG2026
ApexQuant: Data-Free Elastic Quantization by Residual Re-Isotropization
Aksel Fristrup, Sumit Pandey, Ankit Kariryaa
We introduce ApexQuant, a calibration-free quantization method that recursively re-quantizes the residual error, serving as a refinement layer on top of existing quantizers. We est…
cs.CV2026
Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels
Venkanna Babu Guthula, Oswin Krause, Dimitri Gominski +5
Supervised learning for image segmentation typically requires spatially aligned image and label sets. When images and labels originate from different sources, the pairing may be mi…