7 citations · 13 across the 9 of their papers we have counts for
4 papers · 1 filter
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization
Himanshi Charotia, Abhishek Garg, Gaurav Dhama +1
In the context of time series forecasting, it is a common practice to evaluate multiple methods and choose one of these methods or an ensemble for producing the best forecasts. How…
Application of Deep Reinforcement Learning to Payment Fraud
Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa +1
The large variety of digital payment choices available to consumers today has been a key driver of e-commerce transactions in the past decade. Unfortunately, this has also given ri…
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers
Avi Chawla, Nidhi Mulay, Vikas Bishnoi +1
The inception of modeling contextual information using models such as BERT, ELMo, and Flair has significantly improved representation learning for words. It has also given SOTA res…
A Comparative Study of Transformers on Word Sense Disambiguation
Avi Chawla, Nidhi Mulay, Vikas Bishnoi +2
Recent years of research in Natural Language Processing (NLP) have witnessed dramatic growth in training large models for generating context-aware language representations. In this…