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Rajesh K. Gupta

UC San Diego

4 papers hereh-index 6417.1k citations577 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.SY1
affiliations
  • UC San Diego
Homepage
same name
  • Rajesh K. Gupta — 5 papers
  • Rajesh K. Gupta — 2 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedBinarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

4 citations · 4 across the 1 of their papers we have counts for

collaborators

4 papers

eess.SY2019

ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal +1

Internet of Things forms the backbone of modern building applications. Wireless sensors are being increasingly adopted for their flexibility and reduced cost of deployment. However…

cs.LG2019

Associative Convolutional Layers

Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti +1

Motivated by the necessity for parameter efficiency in distributed machine learning and AI-enabled edge devices, we provide a general and easy to implement method for significantly…

cs.CV2018

Local Binary Pattern Networks

Jeng-Hau Lin, Yunfan Yang, Rajesh Gupta +1

Memory and computation efficient deep learning architec- tures are crucial to continued proliferation of machine learning capabili- ties to new platforms and systems. Binarization…

cs.CV2017★ 4 cited

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao +4

State-of-the-art convolutional neural networks are enormously costly in both compute and memory, demanding massively parallel GPUs for execution. Such networks strain the computati…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.