Avinash Madasu
Chapel Hill, NC

I am a graduate student and research assistant at University of North Carolina, Chapel Hill in the computer science department. I am fortunate to be advised by Prof. Gedas Bertasius. My research focuses on multi-modal AI. Previously, I worked with Prof. Shashank Srivastava on inductive biases in language models.

I was a senior engineer at Samsung R & D Institute India - Bangalore, for 3 years where I worked on Bixby (Samsung's voice assistant). My job was to design NLU models to help improve Bixby. I had the opportunity to work under Prof. Asif Eqbal on multi-modal dialog systems. I graduated from National Institute of Technology Tiruchirappalli with Bachelors in Computer Science. While pursuing UG studies, I worked closely with Prof. Sivasankar on statistical feature extraction techniques for sentiment analysis.

I am interested in contributing to open source frameworks that empower neural networks. I am also a member of Distributed Deep Machine Learning Community and reviewer of gluonnlp, Amazon's NLP library.

E-mail  |  Curriculum Vitae  |  Publications  |  LinkedIn  |  Github  | 

Research Interests

My area of interests lie in Multi-modal AI especially in the intersection of Natural Language Processing, Computer Vision and Robotics. I had worked in the areas of multi-modal dialog systems, domain adaptation, text classification etc.

I like to reproduce results from the papers published in CVPR, ICCV, Neurips, ICLR etc.

  • Conference Reviewer: CoLLA 2023, ACL 2023, CVPR 2023, EACL 2023, ACL 2022, ACL 2021, ICON 2020.
  • Journal Reviewer: TMLR, Computer Speech & Language, ACL Rolling Review.
  • Workshop Reviewer: ICLR - MoFo 2023, ICLR - MRL 2023, SocialNLP
Avinash Madasu, Vasudev Lal

Peer Reviewed Publications
3DSP A Unified Framework for Emotion Identification and Generation in Dialogues
Avinash Madasu*, Mauajama Firdaus* and Asif Ekbal
EACL 2023 (SRW Workshop)
3DSP Improving video retrieval using multilingual knowledge transfer
Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal,
ECIR 2023
3DSP What do Large Language Models Learn beyond Language?
Avinash Madasu and Shashank Srivastava
EMNLP 2022 (findings)
[Paper] [Code]
3DSP Learning to Retrieve Videos by Asking Questions
Avinash Madasu, Junier Oliva and Gedas Bertasius
ACM Multimedia 2022
[Paper] [Code] [Poster]
3DSP A Syntax Aware BERT for Identifying Well-Formed Queries in a Curriculum Framework
Avinash Madasu, Vijjini Anvesh Rao
ICPR 2022
3DSP Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
Avinash Madasu, Vijjini Anvesh Rao
ICPR 2020
3DSP A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis
Avinash Madasu, Vijjini Anvesh Rao
NLDB 2020
3DSP Sequential Learning of Convolutional Features for Effective Text Classification
Avinash Madasu, Vijjini Anvesh Rao
EMNLP 2019
3DSP Efficient Feature Selection techniques for Sentiment Analysis
Avinash Madasu, Sivasankar E
Multimedia Tools and Applications 2019
3DSP Gated Convolutional Neural Networks for Domain Adaptation
Avinash Madasu, Vijjini Anvesh Rao
NLDB 2019
3DSP Effectiveness of Self Normalizing Neural Networks for Text Classification
Avinash Madasu, Vijjini Anvesh Rao
CICLing 2019
3DSP A Study of Feature Extraction techniques for Sentiment Analysis
Avinash Madasu, Sivasankar E
IEMIS 2018

Design taken from here