Speech Emotion Recognition Using Spectrogram & Phoneme Embedding. - Promod Yenigalla; Abhay Kumar 001; Suraj Tripathi; Chirag Singh; Sibsambhu Kar; Jithendra Vepa (INTERSPEECH, 2018)

Addressing Unseen Word Problem in Text Classification. - Promod Yenigalla; Sibsambhu Kar; Chirag Singh; Ajay Nagar; Gaurav Mathur (NLDB, 2018)

A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks. - Tushar Semwal; Promod Yenigalla; Gaurav Mathur; Shivashankar B. Nair (SDM, 2018)

Emoception: An Inception Inspired Efficient Speech Emotion Recognition Network. - Chirag Singh; Abhay Kumar 001; Ajay Nagar; Suraj Tripathi; Promod Yenigalla (ASRU, 2019)

Learning Discriminative Features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition. - Suraj Tripathi; Abhiram Ramesh; Abhay Kumar 001; Chirag Singh; Promod Yenigalla (AffComp@IJCAI, 2019)

Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions. - Suraj Tripathi; Abhay Kumar 001; Abhiram Ramesh; Chirag Singh; Promod Yenigalla (CoRR, 2019)

Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition. - Suraj Tripathi; Abhay Kumar 001; Abhiram Ramesh; Chirag Singh; Promod Yenigalla (CoRR, 2019)

Multi-Head Attention for Speech Emotion Recognition with Auxiliary Learning of Gender Recognition. - Anish Nediyanchath; Periyasamy Paramasivam; Promod Yenigalla (ICASSP, 2020)

Phoneme based Domain Prediction for Language Model Adaptation. - Anmol Bhasin; Gaurav Mathur; Promod Yenigalla; Bharatram S. Natarajan (IJCNN, 2020)

AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. - Gaurav Kumar; Rishabh Joshi; Jaspreet Singh; Promod Yenigalla (LREC, 2020)

NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension. - Anubhav Shrimal; Avi Jain; Kartik Mehta; Promod Yenigalla (NAACL-HLT (Industry Papers), 2022)

MAPS: Multimodal Attention for Product Similarity. - Nilotpal Das; Aniket Joshi; Promod Yenigalla; Gourav Agrwal (WACV, 2022)

Weakly supervised hierarchical multi-task classification of customer questions. - Jitenkumar Rana; Promod Yenigalla; Chetan Aggarwal; Sandeep Sricharan Mukku; Manan Soni; Rashmi Patange (ACL (industry), 2023)

InsightNet : Structured Insight Mining from Customer Feedback. - Sandeep Sricharan Mukku; Manan Soni; Chetan Aggarwal; Jitenkumar Rana; Promod Yenigalla; Rashmi Patange; Shyam Mohan (EMNLP (Industry Track), 2023)

Product Image Representation Learning on Large Scale Noisy Datasets. - Aniket Joshi; Nilotpal Das; Promod Yenigalla (ICIP, 2023)

D-Extract: Extracting Dimensional Attributes From Product Images. - Pushpendu Ghosh; Nancy Wang; Promod Yenigalla (WACV, 2023)

AutoDOM: Automated Dimension Overlay for Enhanced Measurement-Guidance. - Pushpendu Ghosh; Aniket Joshi; Soumyajit Chowdhury; Promod Yenigalla (BMVC, 2024)

MARS: Multilingual Aspect-centric Review Summarisation. - Sandeep Sricharan Mukku; Abinesh Kanagarajan; Chetan Aggarwal; Promod Yenigalla (EMNLP (Industry Track), 2024)

MARCO: Multi-Agent Real-time Chat Orchestration. - Anubhav Shrimal; Stanley Kanagaraj; Kriti Biswas; Swarnalatha Raghuraman; Anish Nediyanchath; Yi Zhang; Promod Yenigalla (EMNLP (Industry Track), 2024)