Zobrazeno 1 - 10
of 2 858
pro vyhledávání: '"A. A. Rusak"'
Data Attribution (DA) methods quantify the influence of individual training data points on model outputs and have broad applications such as explainability, data selection, and noisy label identification. However, existing DA methods are often comput
Externí odkaz:
http://arxiv.org/abs/2410.09940
Autor:
Mayilvahanan, Prasanna, Zimmermann, Roland S., Wiedemer, Thaddäus, Rusak, Evgenia, Juhos, Attila, Bethge, Matthias, Brendel, Wieland
Out-of-Domain (OOD) generalization is the ability of a model trained on one or more domains to generalize to unseen domains. In the ImageNet era of computer vision, evaluation sets for measuring a model's OOD performance were designed to be strictly
Externí odkaz:
http://arxiv.org/abs/2410.08258
Autor:
Hosp, Benedikt W., Severitt, Björn, Agarwala, Rajat, Rusak, Evgenia, Sauer, Yannick, Wahl, Siegfried
In an era where personalized technology is increasingly intertwined with daily life, traditional eye-tracking systems and autofocal glasses face a significant challenge: the need for frequent, user-specific calibration, which impedes their practicali
Externí odkaz:
http://arxiv.org/abs/2408.03591
Autor:
Abbas, Amro, Rusak, Evgenia, Tirumala, Kushal, Brendel, Wieland, Chaudhuri, Kamalika, Morcos, Ari S.
Utilizing massive web-scale datasets has led to unprecedented performance gains in machine learning models, but also imposes outlandish compute requirements for their training. In order to improve training and data efficiency, we here push the limits
Externí odkaz:
http://arxiv.org/abs/2401.04578
Autor:
Mayilvahanan, Prasanna, Wiedemer, Thaddäus, Rusak, Evgenia, Bethge, Matthias, Brendel, Wieland
Foundation models like CLIP are trained on hundreds of millions of samples and effortlessly generalize to new tasks and inputs. Out of the box, CLIP shows stellar zero-shot and few-shot capabilities on a wide range of out-of-distribution (OOD) benchm
Externí odkaz:
http://arxiv.org/abs/2310.09562
Autor:
Fish, Sara, Gölz, Paul, Parkes, David C., Procaccia, Ariel D., Rusak, Gili, Shapira, Itai, Wüthrich, Manuel
Traditionally, social choice theory has only been applicable to choices among a few predetermined alternatives but not to more complex decisions such as collectively selecting a textual statement. We introduce generative social choice, a framework th
Externí odkaz:
http://arxiv.org/abs/2309.01291
Autor:
Agnieszka Rusak, Ewa Kątnik, Tomasz Górnicki, Christina Schmuttermaier, Krzysztof Kujawa, Aleksandra Piotrowska, Katarzyna Ratajczak-Wielgomas, Alicja Kmiecik, Andrzej Wojnar, Piotr Dzięgiel, Julia Kzhyshkowska
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Chitinase-like proteins have multiple biological functions that promote tumor growth, angiogenesis and metastasis. Expression of CHI3L2, which is similar in structure to CHI3L1, is detected in glioma cells and tumor-associated macrophages (T
Externí odkaz:
https://doaj.org/article/526f44a817694ad59ee3c6dec0040c88
Autor:
Mateusz Olbromski, Monika Mrozowska, Beata Smolarz, Hanna Romanowicz, Agnieszka Rusak, Aleksandra Piotrowska
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Breast cancer (BC) is the leading cause of death among cancer patients worldwide. In 2020, almost 12% of all cancers were diagnosed with BC. Therefore, it is important to search for new potential markers of cancer progression that could be h
Externí odkaz:
https://doaj.org/article/dcb9e869424347f8adf30c72a32a4bfd
Autor:
Aleksandra Kęska, Agnieszka Rusak, Radosław Włostowski, Mikołaj Dziemieszkiewicz, Natalia Szymlet
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Exhaust emissions, which count among the most common causes of premature death worldwide, can cause irreversible changes in cells, leading to their damage or degeneration. In this research, L929 line cells were observed after exposure in the
Externí odkaz:
https://doaj.org/article/9c52fa46d38d4d0b8795713bafe70374
Autor:
Agnieszka Rusak, Benita Wiatrak, Klaudia Krawczyńska, Tomasz Górnicki, Karol Zagórski, Łukasz Zadka, Wojciech Fortuna
Publikováno v:
Translational Oncology, Vol 51, Iss , Pp 102187- (2025)
Glioblastoma multiforme (GBM) is one of the most aggressive and lethal brain tumors, characterized by rapid growth, invasiveness, and resistance to standard therapies, including surgery, chemotherapy, and radiotherapy. Despite advances in treatment,
Externí odkaz:
https://doaj.org/article/92ed8f287547436aae9d328f52f8ee8a