| Neural language taskonomy: Which NLP tasks are the most predictive of fMRI brain activity? SR Oota, J Arora, V Agarwal, M Marreddy, M Gupta, BR Surampudi arXiv preprint arXiv:2205.01404, 2022 | 29 | 2022 |
| Clickbait detection in telugu: Overcoming nlp challenges in resource-poor languages using benchmarked techniques M Marreddy, SR Oota, LS Vakada, VC Chinni, R Mamidi 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 22 | 2021 |
| Am I a resource-poor language? Data sets, embeddings, models and analysis for four different NLP tasks in telugu language M Marreddy, SR Oota, LS Vakada, VC Chinni, R Mamidi ACM Transactions on Asian and Low-Resource Language Information Processing …, 2022 | 15 | 2022 |
| Multi-task text classification using graph convolutional networks for large-scale low resource language M Marreddy, SR Oota, LS Vakada, VC Chinni, R Mamidi 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 9 | 2022 |
| Neural architecture of speech SR Oota, K Pahwa, M Marreddy, M Gupta, BS Raju ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| How does the brain process syntactic structure while listening? SR Oota, M Marreddy, M Gupta, R Bapi Findings of the Association for Computational Linguistics: ACL 2023, 6624-6647, 2023 | 4* | 2023 |
| Teluguner: Leveraging multi-domain named entity recognition with deep transformers SR Duggenpudi, SR Oota, M Marreddy, R Mamidi Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 3 | 2022 |
| Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? SR Oota, A Veeral, M Mounika, G Manish, RS Bapi 24th INTERSPEECH Conference, 2023 | 2 | 2023 |
| Evaluating the Combination of Word Embeddings with Mixture of Experts and Cascading gcForest in Identifying Sentiment Polarity M Marreddy, SR Oota, R Agarwal, R Mamidi 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2019), 2019 | 2 | 2019 |
| Gae-isumm: Unsupervised graph-based summarization for indian languages LS Vakada, A Ch, M Marreddy, SR Oota, R Mamidi 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| Triplet Loss based siamese Networks for automatic short answer grading N Yeruva, S Venna, H Indukuri, M Marreddy Proceedings of the 14th Annual Meeting of the Forum for Information …, 2022 | 1 | 2022 |
| Multi-Arm Active Transfer Learning for Telugu Sentiment Analysis. SR Oota, V Indurthi, M Marreddy, SS Mukku, R Mamidi IAL@ PKDD/ECML, 62-63, 2017 | 1 | 2017 |
| On Robustness of Finetuned Transformer-based NLP Models PKR Neerudu, SR Oota, M Marreddy, VR Kagita, M Gupta arXiv preprint arXiv:2305.14453, 2023 | | 2023 |
| Text Classification for Telugu: Datasets, Embeddings and Models for Downstream NLP Tasks M Marreddy International Institute of Information Technology Hyderabad, 2023 | | 2023 |
| Brain Encoding using Randomized Recurrent Networks MR Yeruva, JNY Reddy, MM Atmakuri, Uday Kiran Reddy Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
| Extracting Ironic Tweets using Experts Model N Yeruva, S Venna, H Indukuri, M Marreddy Proceedings of the 14th Annual Meeting of the Forum for Information …, 2022 | | 2022 |
| GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages L Sireesha Vakada, A Ch, M Marreddy, SR Oota, R Mamidi arXiv e-prints, arXiv: 2212.12937, 2022 | | 2022 |
| Affect in Tweets Using Experts Model S Reddy Oota, A Avvaru, M Marreddy, R Mamidi arXiv e-prints, arXiv: 1904.00762, 2019 | | 2019 |
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