Zobrazeno 1 - 3
of 3
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