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pro vyhledávání: '"Srinivasaraghavan, G"'
In this paper, we propose an AI based approach to Trailer Generation in the form of short videos for online educational courses. Trailers give an overview of the course to the learners and help them make an informed choice about the courses they want
Externí odkaz:
http://arxiv.org/abs/2301.03957
Knowledge Graph (KG) embeddings provide a low-dimensional representation of entities and relations of a Knowledge Graph and are used successfully for various applications such as question answering and search, reasoning, inference, and missing link p
Externí odkaz:
http://arxiv.org/abs/2110.10555
Customer support via chat requires agents to resolve customer queries with minimum wait time and maximum customer satisfaction. Given that the agents as well as the customers can have varying levels of literacy, the overall quality of responses provi
Externí odkaz:
http://arxiv.org/abs/2103.12777
Autor:
Gupta, Nikunj, Srinivasaraghavan, G, Mohalik, Swarup Kumar, Kumar, Nishant, Taylor, Matthew E.
Cooperative multi-agent reinforcement learning (MARL) has achieved significant results, most notably by leveraging the representation-learning abilities of deep neural networks. However, large centralized approaches quickly become infeasible as the n
Externí odkaz:
http://arxiv.org/abs/2102.00824
Autor:
Shubham, Kumar, Venkatesh, Gopalakrishnan, Sachdev, Reijul, Akshi, Jayagopi, Dinesh Babu, Srinivasaraghavan, G.
Learning a disentangled representation of the latent space has become one of the most fundamental problems studied in computer vision. Recently, many Generative Adversarial Networks (GANs) have shown promising results in generating high fidelity imag
Externí odkaz:
http://arxiv.org/abs/2011.00954
Trajectory Prediction of dynamic objects is a widely studied topic in the field of artificial intelligence. Thanks to a large number of applications like predicting abnormal events, navigation system for the blind, etc. there have been many approache
Externí odkaz:
http://arxiv.org/abs/1705.09436
Since the advent of computers, many tasks which required humans to spend a lot of time and energy have been trivialized by the computers' ability to perform repetitive tasks extremely quickly. Playing chess is one such task. It was one of the first g
Externí odkaz:
http://arxiv.org/abs/1603.09051
Akademický článek
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Akademický článek
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Publikováno v:
International Journal of Semantic Computing; Dec2021, Vol. 15 Issue 4, p487-510, 24p