Search Results for author: Yash Srivastava

Found 8 papers, 2 papers with code

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse

no code implementations5 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.

Opinion Mining Zero-Shot Stance Detection

Autonomous bot with ML-based reactive navigation for indoor environment

no code implementations24 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.

BIG-bench Machine Learning

Visual Question Answering using Deep Learning: A Survey and Performance Analysis

1 code implementation27 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.

Common Sense Reasoning Question Answering +1

Hard-Mining Loss based Convolutional Neural Network for Face Recognition

no code implementations9 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.

Face Recognition

A Performance Comparison of Loss Functions for Deep Face Recognition

1 code implementation1 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.

Face Recognition

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