F Wan, C Liu, W Ke, X Ji, J Jiao… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Weakly supervised object detection (WSOD) is a challenging task when provided with image category supervision but required to simultaneously learn object locations and object …
M Blondel, V Roulet - arXiv preprint arXiv:2403.14606, 2024 - arxiv.org
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative …
N Parikh, S Boyd - Foundations and trends® in Optimization, 2014 - nowpublishers.com
This monograph is about a class of optimization algorithms called proximal algorithms. Much like Newton's method is a standard tool for solving unconstrained smooth optimization …
A large number of attacks are launched daily in the era of the internet and with a large number of users. Nowadays, effective detection of numerous attacks using the Intrusion …
V Feldman, J Vondrak - Conference on Learning Theory, 2019 - proceedings.mlr.press
Algorithmic stability is a classical approach to understanding and analysis of the generalization error of learning algorithms. A notable weakness of most stability-based …
Dynamic path planning has gained increasing popularity in mobile robot navigation. Some of the current path planning methods require a priori information about the motion space and …
We consider global efficiency of algorithms for minimizing a sum of a convex function and a composition of a Lipschitz convex function with a smooth map. The basic algorithm we rely …
M Teboulle - Mathematical Programming, 2018 - Springer
We discuss the foundational role of the proximal framework in the development and analysis of some iconic first order optimization algorithms, with a focus on non-Euclidean proximal …
Y Lin, M Yang, J Yu, P Hu… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this paper, we study a novel and widely existing problem in graph matching (GM), namely, Bi-level Noisy Correspondence (BNC), which refers to node-level noisy correspondence …