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pro vyhledávání: '"Semedo, João D."'
Vision Language Models (VLMs) have demonstrated strong capabilities across various visual understanding and reasoning tasks. However, their real-world deployment is often constrained by high latency during inference due to substantial compute require
Externí odkaz:
http://arxiv.org/abs/2411.03312
Vision-language models (VLMs) such as CLIP are trained via contrastive learning between text and image pairs, resulting in aligned image and text embeddings that are useful for many downstream tasks. A notable drawback of CLIP, however, is that the r
Externí odkaz:
http://arxiv.org/abs/2409.09721
The Vision Transformer (ViT) architecture has recently achieved competitive performance across a variety of computer vision tasks. One of the motivations behind ViTs is weaker inductive biases, when compared to convolutional neural networks (CNNs). H
Externí odkaz:
http://arxiv.org/abs/2112.09260
Publikováno v:
In Current Opinion in Neurobiology December 2020 65:59-69
Autor:
Kohn, Adam, Jasper, Anna I., Semedo, João D., Gokcen, Evren, Machens, Christian K., Yu, Byron M.
Publikováno v:
In Trends in Neurosciences September 2020 43(9):725-737
Publikováno v:
In Neuron 3 April 2019 102(1):249-259
Akademický článek
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Autor:
Semedo, João D.
Publikováno v:
Dissertations.
All brain functions, from seeing and moving to thinking, rely on the interaction of multiple, functionally distinct brain areas. We know, however, very little about how different areas interact at the level of networks of neurons, or what mechanisms
Autor:
Gokcen E; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA., Jasper AI; Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, NY, USA., Semedo JD; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA., Zandvakili A; Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, NY, USA., Kohn A; Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, NY, USA.; Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, New York, NY, USA.; Department of Systems and Computational Biology, Albert Einstein College of Medicine, New York, NY, USA., Machens CK; Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal., Yu BM; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. byronyu@cmu.edu.; Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. byronyu@cmu.edu.
Publikováno v:
Nature computational science [Nat Comput Sci] 2022 Aug; Vol. 2 (8), pp. 512-525. Date of Electronic Publication: 2022 Aug 18.