2 papers
cs.CV2026
Camera trap classification with deep learning under ground truth uncertainty
Leonard Hockerts, Peter S. Stewart, Sarthak Arora +1
Supervised deep learning methods enable the rapid processing of ecological image data, but depend on a costly annotation process. Consequently, training labels are commonly derived…
cs.LG2026
Pretraining large language models with MXFP4 on Native FP4 Hardware
Musa Cim, Sarthak Arora, Poovaiah Palangappa +4
Why does full-pipeline FP4 training of large language models often diverge, even when forward activations and activation gradients remain stable? We address this question through a…