1 code implementation • 5 Jun 2024 • Mehrdad Saberi, Vinu Sankar Sadasivan, Arman Zarei, Hessam Mahdavifar, Soheil Feizi
Identifying the origin of data is crucial for data provenance, with applications including data ownership protection, media forensics, and detecting AI-generated content.
no code implementations • 26 May 2024 • Neha Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi
Vision transformers have established a precedent of patchifying images into uniformly-sized chunks before processing.
no code implementations • 28 Oct 2023 • Arman Zarei, Bingzhao Zhu, Mahsa Shoaran
Here, we propose to enhance the seizure detection performance by learning informative embeddings of the EEG signal.
no code implementations • 25 Jan 2023 • Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
For this purpose, we first demonstrate that the existing model-based methods can be equivalent to applying smaller perturbation or optimization weights to the hard training examples.
1 code implementation • 30 Sep 2022 • Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
Therefore, unlike OOD detection in the standard setting, access to OOD, as well as in-distribution, samples sounds necessary in the adversarial training setup.
Out-of-Distribution Detection Out of Distribution (OOD) Detection