About Interests Publications CV

Atula Tejaswi

I am a Graduate Student studying Master's in Computer Science at UT Austin, supervised by Prof. Eunsol Choi. I received my Bachelor's Degree in CS from Manipal Institute of Technology. I have interned at the Indian Institute of Science, Bangalore under the supervision of Prof. Aditya Gopalan and also at ETH Zurich with Prof. Mrinmaya Sachan's lab.

Previously, I was a researcher with Conversational AI and Social Analytics Lab, University of Marburg led by Prof. Lucie Flek. In the summer of 2022, I was a Mitacs Globalink research intern at Université du Québec à Montréal, supervised by Prof. Marie-Jean Meurs. I was also an undergraduate researcher at Project MANAS, the official AI and Robotics team of Manipal Institute of Technology.

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Research Interests

My general interests are all things Deep Learning, Natural Language Processing, and Reinforcement Learning. I am interested in building models that are efficient, can generalize better, and adapt to new scenarios through a higher level understanding of their environment. Currently I am working on efficient domain adaptation of LLMs.

In the application side, I am interested in a broad range of domains including Computational Social Science, Multimodal Learning, and Privacy Preserving Deep Learning. I have been fortunate to contribute to a wide range of research directions, and my work in these areas has been published at venues such as ACL, AISTATS, EMNLP, and ACM SIGIR.

* indicates joint first authors
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces
Parth Chhabra*, Atula Tejaswi* Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications
Ramit Sawhney*, Atula Tejaswi* Ivan Habernal, Lucie Flek
The International AAAI Conference on Web and Social Media (ICWSM 2023)

Tweet Based Reach Aware Temporal Attention Network for NFT Valuation
Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Tejaswi, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava
EMNLP 2022 (Findings)
Paper / Code

MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues
Puneet Mathur, Atula Tejaswi, Malika Chhibber, Ramit Sawhney, Fu-Ming Guo, Franck Dernoncourt, Sanghamitra Dutta, Dinesh Manocha
ACM Multimedia 2022
Paper / Code

Towards Suicide Ideation Detection Through Online Conversational Context
Ramit Sawhney*, Shivam Agarwal*, Atula Tejaswi*, Nikolaos Aletras, Preslav Nakov, Lucie Flek
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
Paper / Code

Orthogonal Multi-Manifold Enriching of Directed Networks
Ramit Sawhney*, Shivam Agarwal*, Atula Tejaswi*, Kapil Pathak*
International Conference on Artificial Intelligence and Statistics (AISTATS 2022)
Paper / Code

A Risk-Averse Mechanism for Suicidality Assessment on Social Media
Ramit Sawhney*, Atula Tejaswi*, Manas Gaur
Association for Computational Linguistics 2022 (ACL 2022)

The Impact of Differential Privacy on Group Disparity Mitigation
Victor Petrén Bach Hansen*, Atula Tejaswi* Ramit Sawhney, Lucie Flek, Anders Søgaard
PrivateNLP Workshop, NAACL 2022
Paper / Code

Intermix: An Interference-Based Data Augmentation and Regularization Technique for Automatic Deep Sound Classification
Ramit Sawhney, Atula Tejaswi
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
Paper / Code

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