Subba Reddy Oota

65 papers A* 4A 5B 11C 1Misc 1Journal 26Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Multi-Modal Method for Patient Wound Healing Assessment. CoRR Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta
2026	J	`jnl`	How does longer temporal context enhance multimodal narrative video processing in the brain? CoRR Prachi Jindal, Anant Khandelwal, Manish Gupta, Bapi Surampudi Raju, Subba Reddy Oota, Tanmoy Chakraborty
2026	J	`jnl`	Linguistic properties and model scale in brain encoding: from small to compressed language models. CoRR Subba Reddy Oota, Vijay Rowtula, Satya Sai Srinath Namburi, Khushbu Pahwa, Anant Khandelwal, Manish Gupta, Tanmoy Chakraborty, Bapi Surampudi Raju
2025	A*	`conf`	Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening. EMNLP Padakanti Srijith, Khushbu Pahwa, Radhika Mamidi, Bapi Raju Surampudi, Manish Gupta, Subba Reddy Oota
2025	A*	`conf`	Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). ICLR 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	J	`jnl`	Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). CoRR Subba Reddy Oota, Akshett Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi, Manish Shrivastava, Maneesh Kumar Singh, Raju Surampudi Bapi, Manish Gupta
2025	J	`jnl`	Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). Trans. Mach. Learn. Res. Subba Reddy Oota, Zijiao Chen, Manish Gupta, Bapi Raju Surampudi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
2025	—	`conf`	IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? IJCNLP-AACL (Findings) Akhilesh Aravapalli, Mounika Marreddy, Radhika Mamidi, Manish Gupta, Subba Reddy Oota
2025	J	`jnl`	Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain. CoRR Subba Reddy Oota, Khushbu Pahwa, Prachi Jindal, Satya Sai Srinath Namburi, Maneesh Kumar Singh, Tanmoy Chakraborty, Raju S. Bapi, Manish Gupta
2025	—	`conf`	Large Language Models Are Human-Like Annotators. ECIR (5) Mounika Marreddy, Subba Reddy Oota, Manish Gupta
2025	A*	`conf`	Multi-modal brain encoding models for multi-modal stimuli. ICLR Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi
2025	J	`jnl`	Multi-modal brain encoding models for multi-modal stimuli. CoRR Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Surampudi Bapi Raju
2025	—	`conf`	USDC: A Dataset of \underlineUser \underlineStance and \underlineDogmatism in Long \underlineConversations. ACL (Findings) Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek
2024	J	`jnl`	IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? CoRR Akhilesh Aravapalli, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi, Manish Gupta
2024	—	`conf`	Language Models and Brain Alignment: Brain Encoding and Decoding. COMAD/CODS (December) Subba Reddy Oota, Raju Surampudi Bapi
2024	B	`conf`	Modelling Cross-Situational Learning on Full Sentences in Few Shots with Simple RNNs. CogSci Xavier Hinaut, Subba Reddy Oota, Alexandre Variengien, Frédéric Alexandre
2024	—	`—`	Neuro-computational models of language comprehension : characterizing similarities and differences between language processing in brains and language models. (Modèles neurocomputationnels de la compréhension du langage : caractérisation des similarités et des différences entre le traitement cérébral du langage et les modèles de langage). Subba Reddy Oota
2024	—	`conf`	Speech language models lack important brain-relevant semantics. ACL (1) Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
2024	J	`jnl`	USDC: A Dataset of User Stance and Dogmatism in Long Conversations. CoRR Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek
2023	J	`jnl`	Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP Tasks in Telugu Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
2023	J	`jnl`	Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
2023	B	`conf`	GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. IJCNN Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi
2023	—	`conf`	How does the brain process syntactic structure while listening? ACL (Findings) Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi
2023	A*	`conf`	Joint processing of linguistic properties in brains and language models. NeurIPS Subba Reddy Oota, Manish Gupta, Mariya Toneva
2023	A	`conf`	MEG Encoding using Word Context Semantics in Listening Stories. INTERSPEECH Subba Reddy Oota, Nathan Trouvain, Frédéric Alexandre, Xavier Hinaut
2023	Misc	`conf`	Neural Architecture of Speech. ICASSP Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi
2023	—	`conf`	On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta
2023	J	`jnl`	On Robustness of Finetuned Transformer-based NLP Models. CoRR Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta
2023	A	`conf`	Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? INTERSPEECH Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi
2023	J	`jnl`	Speech language models lack important brain-relevant semantics. CoRR Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
2023	J	`jnl`	Syntactic Structure Processing in the Brain while Listening. CoRR Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
2023	A	`conf`	WSNet: Towards An Effective Method for Wound Image Segmentation. WACV Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta
2022	J	`jnl`	Cross-view Brain Decoding. CoRR Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
2022	B	`conf`	Deep Learning for Brain Encoding and Decoding. CogSci Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva
2022	J	`jnl`	GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages. CoRR Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi
2022	J	`jnl`	Joint processing of linguistic properties in brains and language models. CoRR Subba Reddy Oota, Manish Gupta, Mariya Toneva
2022	B	`conf`	Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. CogSci Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut
2022	B	`conf`	Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. IJCNN Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
2022	J	`jnl`	Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. CoRR Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
2022	B	`conf`	Multi-view and Cross-view Brain Decoding. COLING Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
2022	B	`conf`	Multiple GraphHeat Networks for Structural to Functional Brain Mapping. IJCNN Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma
2022	—	`conf`	Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
2022	J	`jnl`	Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
2022	—	`conf`	TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers. ACL (student) Suma Reddy Duggenpudi, Subba Reddy Oota, Mounika Marreddy, Radhika Mamidi
2022	B	`conf`	Visio-Linguistic Brain Encoding. COLING Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
2022	J	`jnl`	Visio-Linguistic Brain Encoding. CoRR Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
2021	B	`conf`	Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques. IJCNN Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
2021	A	`conf`	HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. WACV Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta
2021	—	`conf`	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? COMAD/CODS Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu
2020	J	`jnl`	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? CoRR Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Ming Liu
2019	J	`jnl`	Affect in Tweets Using Experts Model. CoRR Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi
2019	J	`jnl`	ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2019	B	`conf`	StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi
2019	A	`conf`	Towards Automated Evaluation of Handwritten Assessments. ICDAR Vijay Rowtula, Subba Reddy Oota, C. V. Jawahar
2018	C	`conf`	Affect in Tweets using Experts Model. PACLIC Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi
2018	—	`conf`	Believe it or not!: identifying bizarre news in online news media. COMAD/CODS Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma
2018	—	`conf`	Evaluating Quality of Word Embeddings with Sentiment Polarity Identification Task. SemWebEval@ESWC Vijayasaradhi Indurthi, Subba Reddy Oota
2018	J	`jnl`	Mixture of Regression Experts in fMRI Encoding. CoRR Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi
2018	—	`conf`	fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2018	J	`jnl`	fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2017	J	`jnl`	Clickbait detection using word embeddings. CoRR Vijayasaradhi Indurthi, Subba Reddy Oota
2017	—	`conf`	Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language. SemEval@ACL Vijayasaradhi Indurthi, Subba Reddy Oota
2017	—	`conf`	Multi-Arm Active Transfer Learning for Telugu Sentiment Analysis. IAL@PKDD/ECML Subba Reddy Oota, Vijayasaradhi Indurthi, Mounika Marreddy, Sandeep Sricharan Mukku, Radhika Mamidi
2017	B	`conf`	Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis. DaWaK Sandeep Sricharan Mukku, Subba Reddy Oota, Radhika Mamidi
2016	—	`conf`	Relevance Detection and Argumentation Mining in Medical Domain. FIRE (Working Notes) Vijayasaradhi Indurthi, Subba Reddy Oota