no code implementations • 5 Mar 2024 • Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah M. Preum
We detail (i) a method of claim identification -- the task of identifying if a post title contains a claim and (ii) an opinion mining-driven evaluation framework for stance detection using LLMs.
no code implementations • 3 Dec 2021 • Nasreen Fathima, Akshara Pramod, Yash Srivastava, Anusha Maria Thomas, Syed Ibrahim S P, Chandran K R
This is due to the excessive growth of the network and its exposure to a plethora of people.
no code implementations • 24 Nov 2021 • Yash Srivastava, Saumya Singh, S. P. Syed Ibrahim
In other scenarios, sensor data is sent to the Raspberry Pi using a USB connection and the machine learning model generates the best move for navigation, which is sent to the Arduino for driving motors accordingly.
no code implementations • 24 Nov 2021 • Harsh Sankar Naicker, Yash Srivastava, Akshara Pramod, Niket Paresh Ganatra, Deepakshi Sood, Saumya Singh, Velmathi Guruviah
In the case of India, there is a lot of plastic waste on the surface of rivers and lakes.
no code implementations • 5 Dec 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
It is also used over widely studied face recognition problem.
1 code implementation • 27 Aug 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee
The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic `common sense' questions about given images.
no code implementations • 9 Aug 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
Various loss functions such as Cross-Entropy, Angular-Softmax and ArcFace have been introduced to learn the weights of network for face recognition.
1 code implementation • 1 Jan 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
Face recognition is one of the most widely publicized feature in the devices today and hence represents an important problem that should be studied with the utmost priority.