Zobrazeno 1 - 10
of 23 098
pro vyhledávání: '"A, Saran"'
Autor:
Knierim, Matilda, Jain, Sahil, Aydoğan, Murat Han, Mitra, Kenneth, Desai, Kush, Saran, Akanksha, Baraka, Kim
Agent learning from human interaction often relies on explicit signals, but implicit social cues, such as prosody in speech, could provide valuable information for more effective learning. This paper advocates for the integration of prosody as a teac
Externí odkaz:
http://arxiv.org/abs/2410.23554
Autor:
Reddy, Kovvuri Sai Gopal, Saran, Bodduluri, Adityaja, A. Mudit, Shigwan, Saurabh J., Kumar, Nitin, Mukherjee, Snehasis
The data-hungry approach of supervised classification drives the interest of the researchers toward unsupervised approaches, especially for problems such as medical image segmentation, where labeled data are difficult to get. Motivated by the recent
Externí odkaz:
http://arxiv.org/abs/2410.06114
Autor:
Narkedimilli, Sathwik, Kumar, Rayachoti Arun, Kumar, N. V. Saran, Reddy, Ramapathruni Praneeth, C, Pavan Kumar
Vehicular Ad-Hoc Networks (VANETs) hold immense potential for improving traffic safety and efficiency. However, traditional centralized approaches for machine learning in VANETs raise concerns about data privacy and security. Federated Learning (FL)
Externí odkaz:
http://arxiv.org/abs/2407.21141
Autor:
Reddy, Kovvuri Sai Gopal, Saran, Bodduluri, Adityaja, A. Mudit, Shigwan, Saurabh J., Kumar, Nitin
Image segmentation, the process of partitioning an image into meaningful regions, plays a pivotal role in computer vision and medical imaging applications. Unsupervised segmentation, particularly in the absence of labeled data, remains a challenging
Externí odkaz:
http://arxiv.org/abs/2405.06057
We investigate properties of the lasing action observed on the 1S0--3P1 intercombination transition of ytterbium atoms that are laser-cooled and -trapped inside a high-finesse cavity. The dressing of the atomic states on the 1S0--1P1 transition by th
Externí odkaz:
http://arxiv.org/abs/2404.16765
We experimentally and theoretically study the formation of dressed states emerging from strong collective coupling of the narrow intercombination line of Yb atoms to a single mode of a high-finesse optical cavity. By permanently trapping and cooling
Externí odkaz:
http://arxiv.org/abs/2404.12173
We study pre-training representations for decision-making using video data, which is abundantly available for tasks such as game agents and software testing. Even though significant empirical advances have been made on this problem, a theoretical und
Externí odkaz:
http://arxiv.org/abs/2403.13765
Autor:
Brieu, Nicolas, Triltsch, Nicolas, Wortmann, Philipp, Winter, Dominik, Saran, Shashank, Rebelatto, Marlon, Schmidt, Günter
Generative models enable the translation from a source image domain where readily trained models are available to a target domain unseen during training. While Cycle Generative Adversarial Networks (GANs) are well established, the associated cycle co
Externí odkaz:
http://arxiv.org/abs/2403.07389
Information retrieval models have witnessed a paradigm shift from unsupervised statistical approaches to feature-based supervised approaches to completely data-driven ones that make use of the pre-training of large language models. While the increasi
Externí odkaz:
http://arxiv.org/abs/2403.01981
Autor:
Barry, Fanta, Balde, Mamadou D., Toure, Madeleine, Diallo, Ramata, Sidibe, Tiany, Camara, Saran, Keita, Kaba S., Camara, Bienvenu S., Kourouma, Karifa, Balde, Maimouna
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Jun 01. 28(6), 47-54.
Externí odkaz:
https://www.jstor.org/stable/27315220
