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arXiv:2602.15586v1 Announce Type: new Abstract: This paper provides statistical guarantees on the accuracy of dynamical models learned from dependent data sequences. Specifically, we develop uniform …
arXiv:2602.15593v1 Announce Type: new Abstract: Recurrent and deep neural networks (RNNs/DNNs) are cornerstone architectures in machine learning. Remarkably, RNNs differ from DNNs only by weight …
arXiv:2602.15595v1 Announce Type: new Abstract: In this paper, we formulate the new multi-objective coverage (MOC) problem where our goal is to identify a small set …
arXiv:2602.15602v1 Announce Type: new Abstract: Certified machine unlearning can be achieved via noise injection leading to differential privacy guarantees, where noise is calibrated to worst-case …
Combining mass and energy with information in the inseparable quantum equivalence of E=i mc2 has opened a new informational medicine to help patients maintain truth, …
CVPR 2026 Author Guidelines Thank you for submitting your paper(s) to CVPR 2026. This document outlines the expectations for all authors and submissions. Contents What’s …
CVPR 2026 Liability Waiver In consideration of being allowed to register for and potentially participate in the event, including but not limited to as an …
Connect with more than 9,000 professionals from 75 different who countries participate, from academia and industry where they are hard at work in developing the …
Call for Tutorial Proposals for CVPR 2026 Tutorials Chairs: Boqing Gong, Hongsheng Li, Paul Schrader, and Vitomir Struc Proposal Deadline: Dec 15, 2025 AOE Notifications …
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Three motions were considered at the June 2024 PAMI-TC meeting held at CVPR. View the results of thevote. One motion was considered at the January …
CVPR 2026 Compute Reporting Form - Clarification Thank you to the CVPR 2026 community for your engagement with our Compute Reporting initiative. We appreciate the …