activity
20122022
most citedAttention-based Ensemble for Deep Metric Learning

22 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 6 cited

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani +7

Pre-trained language models have shown impressive performance on a variety of tasks and domains. Previous research on financial language models usually employs a generic training s…

math.PR2022

Effective Drift Estimates for Random Walks on Graph Products

Kunal Chawla

We find uniform lower bounds on the drift for a large family of random walks on graph products, of the form for . This includ…

cs.CL2020

Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization

Kunal Chawla, Diyi Yang

Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences, which can be used to improve performance of many downstream NLP tas…

cs.CV2018★ 22 cited

Attention-based Ensemble for Deep Metric Learning

Wonsik Kim, Bhavya Goyal, Kunal Chawla +2

Deep metric learning aims to learn an embedding function, modeled as deep neural network. This embedding function usually puts semantically similar images close while dissimilar im…

cs.SI2012★ 17 cited

Classification of Flames in Computer Mediated Communications

Nitin, Ankush Bansal, Siddhartha Mahadev Sharma +7

Computer Mediated Communication (CMC) has brought about a revolution in the way the world communicates with each other. With the increasing number of people, interacting through th…