Zobrazeno 1 - 10
of 5 891
pro vyhledávání: '"Oberman, A"'
Non-contrastive self-supervised learning (NC-SSL) methods like BarlowTwins and VICReg have shown great promise for label-free representation learning in computer vision. Despite the apparent simplicity of these techniques, researchers must rely on se
Externí odkaz:
http://arxiv.org/abs/2312.10725
Autor:
Liu, Mingjie, Ene, Teodor-Dumitru, Kirby, Robert, Cheng, Chris, Pinckney, Nathaniel, Liang, Rongjian, Alben, Jonah, Anand, Himyanshu, Banerjee, Sanmitra, Bayraktaroglu, Ismet, Bhaskaran, Bonita, Catanzaro, Bryan, Chaudhuri, Arjun, Clay, Sharon, Dally, Bill, Dang, Laura, Deshpande, Parikshit, Dhodhi, Siddhanth, Halepete, Sameer, Hill, Eric, Hu, Jiashang, Jain, Sumit, Jindal, Ankit, Khailany, Brucek, Kokai, George, Kunal, Kishor, Li, Xiaowei, Lind, Charley, Liu, Hao, Oberman, Stuart, Omar, Sujeet, Pasandi, Ghasem, Pratty, Sreedhar, Raiman, Jonathan, Sarkar, Ambar, Shao, Zhengjiang, Sun, Hanfei, Suthar, Pratik P, Tej, Varun, Turner, Walker, Xu, Kaizhe, Ren, Haoxing
ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: domain-adap
Externí odkaz:
http://arxiv.org/abs/2311.00176
Autor:
Allyson Malone, Kimberly Clair, Catherine Chanfreau, Bevanne Bean-Mayberry, Rebecca Oberman, Rachel Lesser, Cody Knight, Erin Finley, Alison Hamilton, Melissa M. Farmer, Tannaz Moin
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background The Diabetes Prevention Program (DPP) is a nationally disseminated lifestyle intervention shown to prevent type 2 diabetes (diabetes). However, enrollment in the program remains variable. We sought to identify patient characterist
Externí odkaz:
https://doaj.org/article/fa1918baa625452f933877db4ec4bbf3
Autor:
Walter E. Kaufmann, Alan K. Percy, Jeffrey L. Neul, Jenny Downs, Helen Leonard, Paige Nues, Girish D. Sharma, Theresa E. Bartolotta, Gillian S. Townend, Leopold M. G. Curfs, Orietta Mariotti, Claude Buda, Heather M. O’Leary, Lindsay M. Oberman, Vanessa Vogel-Farley, Katherine V. Barnes, Christopher U. Missling
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract Background Rett syndrome (RTT) is a severe X-linked neurodevelopmental disorder associated with multiple neurologic impairments. Previous studies have shown challenges to the quality of life of individuals with RTT and their caregivers. Howe
Externí odkaz:
https://doaj.org/article/9f2f215cd3a24fd58dac55f46755ce60
Autor:
Esther Azizi, Hana Feuerman, Idit Peleg, Felix Pavlotsky, Zvi Segal, Bernice Oberman, Nirit Lev, Emmilia Hodak, Ruth Djaldetti, Sharon Hassin‐Baer, Rivka Inzelberg
Publikováno v:
Skin Health and Disease, Vol 4, Iss 6, Pp n/a-n/a (2024)
Abstract Background An epidemiological link between Parkinson's disease (PD) and cutaneous malignant melanoma (CMM) has been widely reported. The role of CMM risk factors in this association is unclear. Objectives To compare rates of risk factors for
Externí odkaz:
https://doaj.org/article/5b90d9e514e94df089487dfe7c9b463e
Autor:
Maya Ramsey, Nina Oberman, Charles P Quesenberry Jr, Elaine Kurtovich, Lizeth Gomez Chavez, Aaloni Chess, Susan Denise Brown, Cheryl L Albright, Mibhali Bhalala, Sylvia E Badon, Lyndsay A Avalos
Publikováno v:
JMIR Research Protocols, Vol 13, p e56882 (2024)
BackgroundPostpartum depression (PPD) is associated with significant health consequences for the parent and child. Current recommendations for PPD prevention require intense health care system resources. Evidence-based interventions for PPD preventio
Externí odkaz:
https://doaj.org/article/48ccf08920054959a62d615fd7f4892f
Autor:
Amanda R. Halliday, Samuel N. Vucic, Brianna Georges, Madison LaRoche, María Alejandra Mendoza Pardo, Liam O. Swiggard, Kaylee McDonald, Michelle Olofsson, Sahit N. Menon, Sunday M. Francis, Lindsay M. Oberman, Tonya White, Isabelle F. van der Velpen
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundA growing body of literature classifies autism spectrum disorder (ASD) as a heterogeneous, complex neurodevelopmental disorder that often is identified prior to three years of age. We aim to provide a narrative review of key structural and
Externí odkaz:
https://doaj.org/article/111f1aa5f1ba47948cae75caf8bedf4b
Autor:
Li, Xinlin, Parazeres, Mariana, Oberman, Adam, Ghaffari, Alireza, Asgharian, Masoud, Nia, Vahid Partovi
With the advent of deep learning application on edge devices, researchers actively try to optimize their deployments on low-power and restricted memory devices. There are established compression method such as quantization, pruning, and architecture
Externí odkaz:
http://arxiv.org/abs/2212.11803
Publikováno v:
NeurIPS 2022 Workshop on Score-Based Methods
Generative models based on denoising diffusion techniques have led to an unprecedented increase in the quality and diversity of imagery that is now possible to create with neural generative models. However, most contemporary state-of-the-art methods
Externí odkaz:
http://arxiv.org/abs/2210.12254
Unsupervised Domain Adaptation (UDA) aims at classifying unlabeled target images leveraging source labeled ones. In this work, we consider the Partial Domain Adaptation (PDA) variant, where we have extra source classes not present in the target domai
Externí odkaz:
http://arxiv.org/abs/2210.01210