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Suraj Tripathi
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2020 – today
- 2022
- [c10]Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Sireesh Gururaja, Aditya Srikanth Veerubhotla, Ritam Dutt, Teruko Mitamura, Eric Nyberg:
R3 : Refined Retriever-Reader pipeline for Multidoc2dial. DialDoc@ACL 2022: 148-154 - [c9]Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Teruko Mitamura, Eric Nyberg:
PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks. EMNLP 2022: 10243-10255 - 2020
- [c8]Suraj Tripathi, Saurabh Tripathi, Abhay Kumar
, Chirag Singh:
Input-conditioned convolution filters for feature learning. MoMM 2020: 30-34
2010 – 2019
- 2019
- [c7]Chirag Singh, Abhay Kumar
Emoception: An Inception Inspired Efficient Speech Emotion Recognition Network. ASRU 2019: 787-791 - [c6]Suraj Tripathi, Abhiram Ramesh, Abhay Kumar
Learning Discriminative Features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition. AffComp@IJCAI 2019: 44-53 - [c5]Suraj Tripathi, Chirag Singh, Abhay Kumar, Chandan Kumar Pandey, Nishant Jain:
Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding. NLDB 2019: 54-65 - [c4]Nishant Jain, Abhay Kumar, Shekhar Singh, Chirag Singh, Suraj Tripathi:
Deceptive Reviews Detection Using Deep Learning Techniques. NLDB 2019: 79-91 - [c3]Sushmitha Reddy Sane, Suraj Tripathi, Koushik Reddy Sane, Radhika Mamidi:
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning. WASSA@NAACL-HLT 2019: 1-5 - [c2]Sushmitha Reddy Sane, Suraj Tripathi, Koushik Reddy Sane, Radhika Mamidi:
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets. WASSA@NAACL-HLT 2019: 57-61 - [i8]Abhay Kumar, Nishant Jain, Chirag Singh, Suraj Tripathi:
Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network. CoRR abs/1904.00197 (2019) - [i7]Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh:
From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation. CoRR abs/1906.04914 (2019) - [i6]Suraj Tripathi, Abhay Kumar, Abhiram Ramesh, Chirag Singh, Promod Yenigalla:
Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions. CoRR abs/1906.05681 (2019) - [i5]Suraj Tripathi, Abhay Kumar, Abhiram Ramesh, Chirag Singh, Promod Yenigalla:
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition. CoRR abs/1906.05682 (2019) - [i4]Suraj Tripathi, Abhiram Ramesh, Abhay Kumar, Chirag Singh, Promod Yenigalla:
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition. CoRR abs/1906.08873 (2019) - [i3]Suraj Tripathi, Abhay Kumar, Chirag Singh:
Visual Context-aware Convolution Filters for Transformation-invariant Neural Network. CoRR abs/1906.09986 (2019) - [i2]Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh, Kamal Krishna:
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation. CoRR abs/1908.08652 (2019) - [i1]Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla:
Smaller Models, Better Generalization. CoRR abs/1908.11250 (2019) - 2018
- [c1]Promod Yenigalla, Abhay Kumar
Speech Emotion Recognition Using Spectrogram & Phoneme Embedding. INTERSPEECH 2018: 3688-3692
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