GGA-MLP: A Greedy Genetic Algorithm to Optimize Weights and Biases in Multilayer Perceptron

1 code implementation • Contrast Media & Molecular Imaging 2022 • Priti Bansal, Rishabh Lamba, Vaibhav Jain, Tanmay Jain, Sanchit Shokeen, Sumit Kumar, Pradeep Kumar Singh, Baseem Khan

Various gradient-based optimization algorithms have been proposed by researchers in the past to generate an optimal set of weights and biases.

Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection

1 code implementation • SEMEVAL 2021 • Vaibhav Jain, Mina Naghshnejad

The baseline approach for this problem using the transformer model is to add a token classification head to the language model and fine-tune the layers with the token labeled dataset.

Classification Language Modelling +4

GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection

1 code implementation • SEMEVAL 2020 • Vaibhav Jain

This paper presents a vector initialization approach for the SemEval2020 Task 1: Unsupervised Lexical Semantic Change Detection.

Change Detection

Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces

1 code implementation • 28 Oct 2019 • Vaibhav Jain, Ruchika Malhotra, Sanskar Jain, Nishant Tanwar

It can help a requirements analyst in preventing misunderstandings during elicitation interviews and meetings by defining a set of potentially ambiguous terms in advance.