Zobrazeno 1 - 10
of 47 755
pro vyhledávání: '"Kaul A."'
Autor:
Devaguptapu, Chaitanya, Aithal, Sumukh, Ramasubramanian, Shrinivas, Yamada, Moyuru, Kaul, Manohar
Self-supervised learning (SSL) with vision transformers (ViTs) has proven effective for representation learning as demonstrated by the impressive performance on various downstream tasks. Despite these successes, existing ViT-based SSL architectures d
Externí odkaz:
http://arxiv.org/abs/2406.12944
Autor:
Tragakis, Athanasios, Aversa, Marco, Kaul, Chaitanya, Murray-Smith, Roderick, Faccio, Daniele
In this work, we introduce Pixelsmith, a zero-shot text-to-image generative framework to sample images at higher resolutions with a single GPU. We are the first to show that it is possible to scale the output of a pre-trained diffusion model by a fac
Externí odkaz:
http://arxiv.org/abs/2406.07251
Given unstructured text, Large Language Models (LLMs) are adept at answering simple (single-hop) questions. However, as the complexity of the questions increase, the performance of LLMs degrade. We believe this is due to the overhead associated with
Externí odkaz:
http://arxiv.org/abs/2406.06027
We introduce a simple lattice spin model that is written in terms of the well-known four-dimensional $\gamma$-matrix representation of the Clifford algebra. The local spins with a four-dimensional Hilbert space transform in a spinorial $(1/2,0) \oplu
Externí odkaz:
http://arxiv.org/abs/2406.04120
Autor:
Kaul, Prannay, Li, Zhizhong, Yang, Hao, Dukler, Yonatan, Swaminathan, Ashwin, Taylor, C. J., Soatto, Stefano
Mitigating hallucinations in large vision-language models (LVLMs) remains an open problem. Recent benchmarks do not address hallucinations in open-ended free-form responses, which we term "Type I hallucinations". Instead, they focus on hallucinations
Externí odkaz:
http://arxiv.org/abs/2405.05256
Autor:
Korablyov, Maksym, Liu, Cheng-Hao, Jain, Moksh, van der Sloot, Almer M., Jolicoeur, Eric, Ruediger, Edward, Nica, Andrei Cristian, Bengio, Emmanuel, Lapchevskyi, Kostiantyn, St-Cyr, Daniel, Schuetz, Doris Alexandra, Butoi, Victor Ion, Rector-Brooks, Jarrid, Blackburn, Simon, Feng, Leo, Nekoei, Hadi, Gottipati, SaiKrishna, Vijayan, Priyesh, Gupta, Prateek, Rampášek, Ladislav, Avancha, Sasikanth, Bacon, Pierre-Luc, Hamilton, William L., Paige, Brooks, Misra, Sanchit, Jastrzebski, Stanislaw Kamil, Kaul, Bharat, Precup, Doina, Hernández-Lobato, José Miguel, Segler, Marwin, Bronstein, Michael, Marinier, Anne, Tyers, Mike, Bengio, Yoshua
Despite substantial progress in machine learning for scientific discovery in recent years, truly de novo design of small molecules which exhibit a property of interest remains a significant challenge. We introduce LambdaZero, a generative active lear
Externí odkaz:
http://arxiv.org/abs/2405.01616
Autor:
Cour, Ajeet, Kaul, Ranjana
Publikováno v:
Indian Literature, 2024 May 01. 683 (341), 178-184.
Externí odkaz:
https://www.jstor.org/stable/27309361
Autor:
Agrawal, Vikhyat, Kalmady, Sunil Vasu, Malipeddi, Venkataseetharam Manoj, Manthena, Manisimha Varma, Sun, Weijie, Islam, Saiful, Hindle, Abram, Kaul, Padma, Greiner, Russell
This research paper explores ways to apply Federated Learning (FL) and Differential Privacy (DP) techniques to population-scale Electrocardiogram (ECG) data. The study learns a multi-label ECG classification model using FL and DP based on 1,565,849 E
Externí odkaz:
http://arxiv.org/abs/2405.00725
Autor:
Tragakis, Athanasios, Liu, Qianying, Kaul, Chaitanya, Roy, Swalpa Kumar, Dai, Hang, Deligianni, Fani, Murray-Smith, Roderick, Faccio, Daniele
We propose a novel transformer-style architecture called Global-Local Filter Network (GLFNet) for medical image segmentation and demonstrate its state-of-the-art performance. We replace the self-attention mechanism with a combination of global-local
Externí odkaz:
http://arxiv.org/abs/2403.00396
Autor:
Methot, Jessica R.1 (AUTHOR), Kaul, Aseem2 (AUTHOR)
Publikováno v:
Academy of Management Review. Jun2024, Vol. 49, p1-12. 12p.