Zobrazeno 1 - 10
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pro vyhledávání: '"Amor, A."'
Quantum computing is emerging as a transformative technology with the announced potential to solve large-scale problems that are currently intractable for classical computers. With the demonstrated ability to perform calculations in seconds that woul
Externí odkaz:
http://arxiv.org/abs/2411.00118
Autor:
Kiulian, Artur, Polishko, Anton, Khandoga, Mykola, Kostiuk, Yevhen, Gabrielli, Guillermo, Gagała, Łukasz, Zaraket, Fadi, Obaida, Qusai Abu, Garud, Hrishikesh, Mak, Wendy Wing Yee, Chaplynskyi, Dmytro, Amor, Selma Belhadj, Peradze, Grigol
In this paper, we propose a model-agnostic cost-effective approach to developing bilingual base large language models (LLMs) to support English and any target language. The method includes vocabulary expansion, initialization of new embeddings, model
Externí odkaz:
http://arxiv.org/abs/2410.18836
Since the emergence of the ImageNet dataset, the pretraining and fine-tuning approach has become widely adopted in computer vision due to the ability of ImageNet-pretrained models to learn a wide variety of visual features. However, a significant cha
Externí odkaz:
http://arxiv.org/abs/2410.15886
Vision-language supervision has made remarkable strides in learning visual representations from textual guidance. In digital pathology, vision-language models (VLM), pre-trained on curated datasets of histological image-captions, have been adapted to
Externí odkaz:
http://arxiv.org/abs/2410.15881
With his formal analysis in 1951, the physicist Pyotr Kapitza demonstrated that an inverted pendulum with an externally vibrating base can be stable in its upper position, thus overcoming the force of gravity. Kapitza's work is an example that an ori
Externí odkaz:
http://arxiv.org/abs/2410.12976
Effective human-robot collaboration hinges on robust communication channels, with visual signaling playing a pivotal role due to its intuitive appeal. Yet, the creation of visually intuitive cues often demands extensive resources and specialized know
Externí odkaz:
http://arxiv.org/abs/2409.13927
Weather forecasting is a vitally important tool for tasks ranging from planning day to day activities to disaster response planning. However, modeling weather has proven to be challenging task due to its chaotic and unpredictable nature. Each variabl
Externí odkaz:
http://arxiv.org/abs/2409.11502
In medical image classification, supervised learning is challenging due to the lack of labeled medical images. Contrary to the traditional \textit{modus operandi} of pre-training followed by fine-tuning, this work leverages the visual-textual alignme
Externí odkaz:
http://arxiv.org/abs/2409.02729
Autor:
Drolet, Michael, Stepputtis, Simon, Kailas, Siva, Jain, Ajinkya, Peters, Jan, Schaal, Stefan, Amor, Heni Ben
Amidst the wide popularity of imitation learning algorithms in robotics, their properties regarding hyperparameter sensitivity, ease of training, data efficiency, and performance have not been well-studied in high-precision industry-inspired environm
Externí odkaz:
http://arxiv.org/abs/2408.06536
Autor:
Hernández-Tello, Javier, Martínez-del-Amor, Miguel Ángel, Orellana-Martín, David, Cabarle, Francis George C.
Publikováno v:
International Journal of Neural Systems, Vol. 34, No. 07 (2024), 2450038
The parallel simulation of Spiking Neural P systems is mainly based on a matrix representation, where the graph inherent to the neural model is encoded in an adjacency matrix. The simulation algorithm is based on a matrix-vector multiplication, which
Externí odkaz:
http://arxiv.org/abs/2408.04343