Gaurav Dhama

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Categorical Attributes

Reinforcement Learning

Named Entity Recognition

Top Venues

Publications

Karthikeswaren Ramachandran, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama
FraudAmmo: Large Scale Synthetic Transactional Dataset for Payment Fraud Detection. IJCNN (2023)
Sarthak Malik, Himanshi Charotia, Gaurav Dhama
TETRAA - Trained and Selective Transmutation of Encoder-based Adversarial Attack. IJCNN (2023)
Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies. CoRR (2022)
Anil Surisetty, Deepak Chaurasiya, Nitish Kumar, Alok Singh, Gaurav Dhama, Aakarsh Malhotra, Ankur Arora, Vikrant Dey
RePS: Relation, Position and Structure aware Entity Alignment. WWW (Companion Volume) (2022)
Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari
Dynamic Temporal Reconciliation by Reinforcement learning. CoRR (2022)
Shreyansh Singh, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama
MeTGAN: Memory Efficient Tabular GAN for High Cardinality Categorical Datasets. ICONIP (6) (2021)
Nishant Kumar, Siddharth Vimal, Kanishka Kayathwal, Gaurav Dhama
Evolutionary Adversarial Attacks on Payment Systems. ICMLA (2021)
Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh
A Comparative Study of Transformers on Word Sense Disambiguation. ICONIP (5) (2021)
Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers. CoRR (2021)
Karthikeswaren R, Kanishka Kayathwal, Gaurav Dhama, Ankur Arora
A Survey on Classical and Deep Learning based Intermittent Time Series Forecasting Methods. IJCNN (2021)
Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization. CoRR (2021)
Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh
A Comparative Study of Transformers on Word Sense Disambiguation. CoRR (2021)
Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama
Application of Deep Reinforcement Learning to Payment Fraud. CoRR (2021)
Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama
Improving the performance of Transformer Context Encoders for NER. FUSION (2021)
Nidhi Mulay, Vikas Bishnoi, Himanshi Charotia, Siddhartha Asthana, Gaurav Dhama, Ankur Arora
Pandemic spread prediction and healthcare preparedness through financial and mobility data. ICMLA (2020)
Kushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik
Deep Learning based Time Series Forecasting. ICMLA (2020)