Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Heidari, Peyman"'
Autor:
Moon, Seungwhan, Madotto, Andrea, Lin, Zhaojiang, Nagarajan, Tushar, Smith, Matt, Jain, Shashank, Yeh, Chun-Fu, Murugesan, Prakash, Heidari, Peyman, Liu, Yue, Srinet, Kavya, Damavandi, Babak, Kumar, Anuj
We present Any-Modality Augmented Language Model (AnyMAL), a unified model that reasons over diverse input modality signals (i.e. text, image, video, audio, IMU motion sensor), and generates textual responses. AnyMAL inherits the powerful text-based
Externí odkaz:
http://arxiv.org/abs/2309.16058
Autor:
Luo, Man, Jain, Shashank, Gupta, Anchit, Einolghozati, Arash, Oguz, Barlas, Chatterjee, Debojeet, Chen, Xilun, Baral, Chitta, Heidari, Peyman
Hybrid retrievers can take advantage of both sparse and dense retrievers. Previous hybrid retrievers leverage indexing-heavy dense retrievers. In this work, we study "Is it possible to reduce the indexing memory of hybrid retrievers without sacrifici
Externí odkaz:
http://arxiv.org/abs/2210.01371
Autor:
Arun, Ankit, Batra, Soumya, Bhardwaj, Vikas, Challa, Ashwini, Donmez, Pinar, Heidari, Peyman, Inan, Hakan, Jain, Shashank, Kumar, Anuj, Mei, Shawn, Mohan, Karthik, White, Michael
Natural language generation (NLG) is a critical component in conversational systems, owing to its role of formulating a correct and natural text response. Traditionally, NLG components have been deployed using template-based solutions. Although neura
Externí odkaz:
http://arxiv.org/abs/2011.03877
Publikováno v:
In Journal of Building Engineering 15 July 2022 52
Publikováno v:
In Journal of Petroleum Science and Engineering March 2019 174:291-305
Autor:
Heidari, Peyman R
Publikováno v:
Electronic Thesis and Dissertation Repository
During multijoint limb movement, the motion of limb segments can be driven actively, by muscle torque, and/or passively, by interaction torque–rotational force that arises passively at one joint due to motion of an adjacent limb segment about anoth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1548::1a34ee5742a56b6a39a3b8de3b6c5de9
https://ir.lib.uwo.ca/context/etd/article/11345/filename/0/type/additional/viewcontent/Ethics_Approval.pdf
https://ir.lib.uwo.ca/context/etd/article/11345/filename/0/type/additional/viewcontent/Ethics_Approval.pdf
Akademický článek
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Publikováno v:
Bulletin of Earthquake Engineering; Nov2020, Vol. 18 Issue 14, p6487-6532, 46p
Akademický článek
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The principal purpose of this article is to present a new method based on Adaptive Neural Network Fuzzy Inference System (ANFIS) to generate additional artificial earthquake accelerograms from presented data, which are compatible with specified respo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e06d0e206374d524ad30058b93dada1