Shivam chandhok
WebShivam Chandhok’s Post Shivam Chandhok Research Engineer@ INRIA, France 1mo Report this post Report Report. Back Submit. Vinija Jain Machine Learning at Amazon Stanford … Web4 Oct 2024 · Hey, this is Shivam Chandhok. I am a Computer Vision researcher building models that can learn from limited supervision & generalize to novel classes and domains, just like humans. I have had the privilege to work & collaborate with great people at research institutions like IIT Hyderabad, IIIT Delhi, and MBZUAI, Inception Institute of AI, UAE.
Shivam chandhok
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Web23 Jul 2024 · Authors: Piyush Sahoo, Romesh Rajoria, Shivam Chandhok, S. J. Darak, Danilo Pau, Hem-Dutt Dabral Download PDF Abstract: With the introduction of shared spectrum sensing and beam-forming based multi-antenna transceivers, 5G networks demand spectrum sensing to identify opportunities in time, frequency, and spatial domains. Web24 Oct 2024 · Piyush Ranjan Sahoo (IIITD), Romesh Rajoria (IIITD), Shivam Chandhok (Mohamed bin Zayed University of AI, UAE), S. J. Darak (IIITD), Danilo Pau (STMicroelectronics, Italy), Hem Dutt Dabral (STMicroelectronics, India) Best Doctoral Work Learning Neural Models for Continuous-Time Sequences Vinayak Gupta (IITD) …
Web25 Dec 2024 · Shivam Chandhok shivam-chandhok. Follow. Deep Learning Machine Learning Python Electronics & Communication. 14 followers · 35 following. Research … Web8 Shivam Chandhok, et al. ∙ share research ∙ 21 months ago Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision A common problem …
WebShivam Chandhok. Research Engineer, INRIA, France; Research Assistant, IIT Hyderabad. Verified email at iith.ac.in. Deep Learning Machine Learning Computer Vision. Articles … Web1 Oct 2024 · Shivam Chandhok Hem-Dutt Dabral With the introduction of shared spectrum sensing and beam-forming based multi-antenna transceivers, 5G networks demand spectrum sensing to identify opportunities in ...
Web13 Jun 2024 · Authors: Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N Balasubramanian, Balaji Krishnamurthy Download PDF Abstract: For models to generalize under unseen domains (a.k.a domain generalization), it is crucial to learn feature representations that are domain-agnostic and capture the underlying semantics that …
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