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Gopalakrishnan Venkatesh
Gopalakrishnan Venkatesh
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MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
G Venkatesh, A Grover, G Srinivasaraghavan, S Rao
Bioinformatics 36 (Supplement_1), i399-i406, 2020
362020
Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets
SM Yimam, AA Ayele, G Venkatesh, I Gashaw, C Biemann
Future Internet 13 (11), 275, 2021
312021
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System
SM Yimam, G Venkatesh, JSY Lee, C Biemann
Language Resources and Evaluation Conference, 5896-5904, 2020
72020
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
K Shubham, G Venkatesh, R Sachdev, DB Jayagopi, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
52021
Using distributional thesaurus to enhance transformer-based contextualized representations for low resource languages
G Venkatesh, A Jana, S Remus, Ö Sevgili, G Srinivasaraghavan, ...
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 845-852, 2022
12022
One-shot domain adaptation for semantic face editing of real world images using StyleALAE
RK Reddy, K Shubham, G Venkatesh, S Gandikota, S Khoche, ...
arXiv preprint arXiv:2108.13876, 2021
12021
One shot learning in StyleALAE: Preserving facial identity during semantic modification
RKR Kotlo Budde, K Shubham, G Venkatesh, S Gandikota, S Khoche, ...
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics …, 2022
2022
Hypernymy Detection for Low-resource Languages: A Study for Hindi, Bengali, and Amharic
A Jana, G Venkatesh, SM Yimam, C Biemann
Transactions on Asian and Low-Resource Language Information Processing 21 (4 …, 2022
2022
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