Subba Reddy Oota
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
17
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | USDC: A Dataset of \underlineUser \underlineStance and \underlineDogmatism in Long \underlineConversations. | Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek |
| 2025 | ECIR | Large Language Models Are Human-Like Annotators. | Mounika Marreddy, Subba Reddy Oota, Manish Gupta |
| 2025 | EMNLP | Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening. | Padakanti Srijith, Khushbu Pahwa, Radhika Mamidi, Bapi Raju Surampudi, Manish Gupta, Subba Reddy Oota |
| 2025 | ICLR | Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). | Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta |
| 2025 | ICLR | Multi-modal brain encoding models for multi-modal stimuli. | Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi |
| 2025 | IJCNLP | IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? | Akhilesh Aravapalli, Mounika Marreddy, Radhika Mamidi, Manish Gupta, Subba Reddy Oota |
| 2024 | ACL | Speech language models lack important brain-relevant semantics. | Subba Reddy Oota, Emin elik, Fatma Deniz, Mariya Toneva |
| 2024 | CogSci | Modelling Cross-Situational Learning on Full Sentences in Few Shots with Simple RNNs. | Xavier Hinaut, Subba Reddy Oota, Alexandre Variengien, Frdric Alexandre |
| 2024 | COMAD | Language Models and Brain Alignment: Brain Encoding and Decoding. | Subba Reddy Oota, Raju Surampudi Bapi |
| 2023 | ACL | How does the brain process syntactic structure while listening? | Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | EMNLP | On Robustness of Finetuned Transformer-based NLP Models. | Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta |
| 2023 | ICASSP | Neural Architecture of Speech. | Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | IJCNN | GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. | Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi |
| 2023 | Interspeech | Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? | Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | Interspeech | MEG Encoding using Word Context Semantics in Listening Stories. | Subba Reddy Oota, Nathan Trouvain, Frdric Alexandre, Xavier Hinaut |
| 2023 | WACV | WSNet: Towards An Effective Method for Wound Image Segmentation. | Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta |
| 2022 | ACL | TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers. | Suma Reddy Duggenpudi, Subba Reddy Oota, Mounika Marreddy, Radhika Mamidi |
| 2022 | CogSci | Deep Learning for Brain Encoding and Decoding. | Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva |
| 2022 | CogSci | Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. | Subba Reddy Oota, Frdric Alexandre, Xavier Hinaut |
| 2022 | COLING | Multi-view and Cross-view Brain Decoding. | Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi |
| 2022 | COLING | Visio-Linguistic Brain Encoding. | Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2022 | IJCNN | Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. | Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi |
| 2022 | IJCNN | Multiple GraphHeat Networks for Structural to Functional Brain Mapping. | Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma |
| 2022 | NAACL | Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? | Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi |
| 2021 | COMAD | Wound and Episode Level Readmission Risk or Weeks to Readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted? | Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu |
| 2021 | IJCNN | Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques. | Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi |
| 2021 | WACV | HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. | Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta |
| 2019 | ICDAR | Towards Automated Evaluation of Handwritten Assessments. | Vijay Rowtula, Subba Reddy Oota, C. V. Jawahar |
| 2019 | IJCNN | StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. | Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2018 | COMAD | Believe it or not!: identifying bizarre news in online news media. | Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma |
| 2018 | ICONIP | fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. | Subba Reddy Oota, Naresh Manwani, Raju S. Bapi |
| 2018 | PACLIC | Affect in Tweets using Experts Model. | Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi |
| 2017 | DaWaK | Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis. | Sandeep Sricharan Mukku, Subba Reddy Oota, Radhika Mamidi |