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ORCIDGaurav Dhama
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2020 – today
- 2023
[c10]Sarthak Malik
, Himanshi Charotia, Gaurav Dhama:
TETRAA - Trained and Selective Transmutation of Encoder-based Adversarial Attack. IJCNN 2023: 1-8- [c9]Karthikeswaren Ramachandran, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama:
FraudAmmo: Large Scale Synthetic Transactional Dataset for Payment Fraud Detection. IJCNN 2023: 1-7 - 2022
- [c8]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: 1083-1091 - [i6]Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari:
Dynamic Temporal Reconciliation by Reinforcement learning. CoRR abs/2201.11964 (2022) - [i5]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 abs/2205.08777 (2022) - 2021
- [c7]Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama:
Improving the performance of Transformer Context Encoders for NER. FUSION 2021: 1-8 - [c6]Nishant Kumar, Siddharth Vimal, Kanishka Kayathwal, Gaurav Dhama:
Evolutionary Adversarial Attacks on Payment Systems. ICMLA 2021: 813-818 - [c5]Shreyansh Singh, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama:
MeTGAN: Memory Efficient Tabular GAN for High Cardinality Categorical Datasets. ICONIP (6) 2021: 519-527 - [c4]Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh:
A Comparative Study of Transformers on Word Sense Disambiguation. ICONIP (5) 2021: 748-756 - [c3]Karthikeswaren R, Kanishka Kayathwal, Gaurav Dhama, Ankur Arora:
A Survey on Classical and Deep Learning based Intermittent Time Series Forecasting Methods. IJCNN 2021: 1-7 - [i4]Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh:
A Comparative Study of Transformers on Word Sense Disambiguation. CoRR abs/2111.15417 (2021) - [i3]Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama:
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers. CoRR abs/2111.15436 (2021) - [i2]Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama:
Application of Deep Reinforcement Learning to Payment Fraud. CoRR abs/2112.04236 (2021) - [i1]Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari:
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization. CoRR abs/2112.08052 (2021) - 2020
- [c2]Kushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik:
Deep Learning based Time Series Forecasting. ICMLA 2020: 859-864 - [c1]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: 1340-1347
Coauthor Index
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