Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Anshumaan, Divyam"'
Optimization methods are widely employed in deep learning to identify and mitigate undesired model responses. While gradient-based techniques have proven effective for image models, their application to language models is hindered by the discrete nat
Externí odkaz:
http://arxiv.org/abs/2410.04234
Autor:
Anshumaan, Divyam, Balasubramanian, Sriram, Tiwari, Shubham, Natarajan, Nagarajan, Sellamanickam, Sundararajan, Padmanabhan, Venkata N.
Simulating physical network paths (e.g., Internet) is a cornerstone research problem in the emerging sub-field of AI-for-networking. We seek a model that generates end-to-end packet delay values in response to the time-varying load offered by a sende
Externí odkaz:
http://arxiv.org/abs/2202.13870
Frequency spectrum has played a significant role in learning unique and discriminating features for object recognition. Both low and high frequency information present in images have been extracted and learnt by a host of representation learning tech
Externí odkaz:
http://arxiv.org/abs/2010.15773
Autor:
Adrien Bartoli, Andrea Fusiello
The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow,