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

Deceptive Reviews Detection Using Deep Learning Techniques. - Nishant Jain; Abhay Kumar 001; Shekhar Singh; Chirag Singh; Suraj Tripathi (NLDB, 2019)

Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding. - Suraj Tripathi; Chirag Singh; Abhay Kumar 001; Chandan Kumar Pandey; Nishant Jain (NLDB, 2019)

Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning. - Sushmitha Reddy Sane; Suraj Tripathi; Koushik Reddy Sane; Radhika Mamidi (WASSA@NAACL-HLT, 2019)

Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets. - Sushmitha Reddy Sane; Suraj Tripathi; Koushik Reddy Sane; Radhika Mamidi (WASSA@NAACL-HLT, 2019)

Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network. - Abhay Kumar 001; Nishant Jain; Chirag Singh; Suraj Tripathi (CoRR, 2019)

From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation. - Abhay Kumar 001; Nishant Jain; Suraj Tripathi; Chirag Singh (CoRR, 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)

Visual Context-aware Convolution Filters for Transformation-invariant Neural Network. - Suraj Tripathi; Abhay Kumar 001; Chirag Singh (CoRR, 2019)

MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation. - Abhay Kumar 001; Nishant Jain; Suraj Tripathi; Chirag Singh; Kamal Krishna (CoRR, 2019)

Smaller Models, Better Generalization. - Mayank Sharma; Suraj Tripathi; Abhimanyu Dubey; Jayadeva; Sai Guruju; Nihal Goalla (CoRR, 2019)

Input-conditioned convolution filters for feature learning. - Suraj Tripathi; Saurabh Tripathi; Abhay Kumar 001; Chirag Singh (MoMM, 2020)

R3 : Refined Retriever-Reader pipeline for Multidoc2dial. - Srijan Bansal; Suraj Tripathi; Sumit Agarwal; Sireesh Gururaja; Aditya Srikanth Veerubhotla; Ritam Dutt; Teruko Mitamura; Eric Nyberg (DialDoc@ACL, 2022)

PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks. - Srijan Bansal; Suraj Tripathi; Sumit Agarwal; Teruko Mitamura; Eric Nyberg (EMNLP, 2022)