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ORCIDVahid Noroozi
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2020 – today
- 2024
[c23]Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg:
Stateful Conformer with Cache-Based Inference for Streaming Automatic Speech Recognition. ICASSP 2024: 12041-12045- [c22]Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg:
Investigating End-to-End ASR Architectures for Long Form Audio Transcription. ICASSP 2024: 13366-13370 - [i17]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i16]Vahid Noroozi, Zhehuai Chen, Somshubra Majumdar, Steve Huang, Jagadeesh Balam, Boris Ginsburg:
Instruction Data Generation and Unsupervised Adaptation for Speech Language Models. CoRR abs/2406.12946 (2024) - [i15]Somshubra Majumdar, Vahid Noroozi, Sean Narenthiran, Aleksander Ficek, Jagadeesh Balam, Boris Ginsburg:
Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models. CoRR abs/2407.21077 (2024) - 2023
- [c21]Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg:
Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. ASRU 2023: 1-8 - [i14]Dima Rekesh, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Ankur Kumar, Boris Ginsburg:
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. CoRR abs/2305.05084 (2023) - [i13]Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg:
Investigating End-to-End ASR Architectures for Long Form Audio Transcription. CoRR abs/2309.09950 (2023) - [i12]Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg:
Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition. CoRR abs/2312.17279 (2023) - 2022
- [c20]Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev:
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. IWSLT@ACL 2022: 225-231 - 2021
- [c19]Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak:
I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. HEALTHINF 2021: 566-574 - [c18]Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe
, Georg Kucsko:
SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition. Interspeech 2021: 1434-1438 - [i11]Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko:
SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition. CoRR abs/2104.02014 (2021) - [i10]Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak:
I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. CoRR abs/2104.02609 (2021) - [i9]Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg:
SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services. CoRR abs/2105.08049 (2021) - 2020
- [c17]Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak:
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. ICMLA 2020: 677-684 - [c16]Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta:
A Fast and Robust BERT-based Dialogue State Tracker for Schema Guided Dialogue Dataset. Converse@KDD 2020 - [i8]Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak:
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. CoRR abs/2007.12672 (2020) - [i7]Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta:
A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset. CoRR abs/2008.12335 (2020)
2010 – 2019
- 2019
- [c15]Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. DSAA 2019: 11-20 - [c14]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu:
Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO 2019: 1-5 - [c13]Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu:
Leveraging Semi-Supervised Learning for Fairness using Neural Networks. ICMLA 2019: 50-55 - [c12]Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak:
Deep Multi-Task Learning for Interpretable Glaucoma Detection. IRI 2019: 167-174 - [i6]Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu:
Leveraging Semi-Supervised Learning for Fairness using Neural Networks. CoRR abs/1912.13230 (2019) - 2018
- [j1]Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Joshua R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos:
Machine learning for Gravity Spy: Glitch classification and dataset. Inf. Sci. 444: 172-186 (2018) - [c11]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData 2018: 56-64 - [c10]Sara Amini, Vahid Noroozi, Sara Bahaadini, Philip S. Yu, Chris Kanich:
DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors. IEEE BigData 2018: 84-91 - [c9]Sara Amini, Vahid Noroozi, Amit Pande, Satyajit Gupte, Philip S. Yu, Chris Kanich:
DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps. CIKM 2018: 2027-2035 - [c8]Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin:
Direct: Deep Discriminative Embedding for Clustering of Ligo Data. ICIP 2018: 748-752 - [i5]Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos:
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. CoRR abs/1805.02296 (2018) - [i4]Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. CoRR abs/1805.07037 (2018) - [i3]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR abs/1811.04480 (2018) - 2017
- [c7]Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma:
Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData 2017: 867-876 - [c6]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. IJCAI 2017: 2571-2577 - [c5]Lei Zheng, Vahid Noroozi, Philip S. Yu:
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. WSDM 2017: 425-434 - [i2]Lei Zheng, Vahid Noroozi, Philip S. Yu:
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. CoRR abs/1701.04783 (2017) - [i1]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. CoRR abs/1706.03692 (2017) - 2013
- [c4]Vahid Noroozi, Aliazam Abbasfar:
Adaptive load balancing in LTE-Advanced networks with base station coordination. WPMC 2013: 1-6 - 2012
- [c3]Ali Sharifi, Vahid Noroozi, Masoud Bashiri, Ali B. Hashemi, Mohammad Reza Meybodi:
Two phased cellular PSO: A new collaborative cellular algorithm for optimization in dynamic environments. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c2]Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi:
Alpinist CellularDE: a cellular based optimization algorithm for dynamic environments. GECCO (Companion) 2012: 1519-1520 - 2011
- [c1]Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi:
CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems. ICANNGA (1) 2011: 340-349
Coauthor Index
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last updated on 2024-12-09 23:09 CET by the dblp team
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