G. Srinivasaraghavan
Orcid: 0000-0002-8325-4393Affiliations:
- International Institute of Information Technology Bangalore (IIITB), India
According to our database1,
G. Srinivasaraghavan
authored at least 34 papers
between 1993 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on iiitb.ac.in
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on orcid.org
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Bibliography
2023
2022
Using distributional thesaurus to enhance transformer-based contextualized representations for low resource languages.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
One shot learning in StyleALAE: Preserving facial identity during semantic modification.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Proceedings of the ICCTA 2022: 8th International Conference on Computer Technology Applications, Kapfenberg, Austria, May 12, 2022
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022
2021
Automatic Title Generation for Learning Resources and Pathways with Pre-trained Transformer Models.
Int. J. Semantic Comput., 2021
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships.
CoRR, 2021
One-shot domain adaptation for semantic face editing of real world images using StyleALAE.
CoRR, 2021
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning.
CoRR, 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging.
CoRR, 2021
Proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model.
Bioinform., 2020
2019
Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Self-tuning Filers - Overload Prediction and Preventive Tuning Using Pruned Random Forest.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the Distributed Computing and Internet Technology, 2016
2014
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014
Proceedings of the 21st International Conference on High Performance Computing, 2014
2000
Int. J. Comput. Geom. Appl., 2000
1995
Proceedings of the LATIN '95: Theoretical Informatics, 1995
1994
Discret. Comput. Geom., 1994
1993
Proceedings of the Algorithms and Data Structures, Third Workshop, 1993
On the Notion of Completeness for Reconstruction Algorithms on Visibility Graphs.
Proceedings of the 5th Canadian Conference on Computational Geometry, 1993