Vahid Noroozi

According to our database, Vahid Noroozi authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.

Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Fabian Ritter Gutierrez, Ming To Chuang, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor R. Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan-Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Jui-Chiang Wei, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Vahid Noroozi, Zhehuai Chen, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee

CoRR, 2024

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models.

Somshubra Majumdar, Vahid Noroozi, Sean Narenthiran, Aleksander Ficek, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

Instruction Data Generation and Unsupervised Adaptation for Speech Language Models.

Vahid Noroozi, Zhehuai Chen, Somshubra Majumdar, Steve Huang, Jagadeesh Balam, Boris Ginsburg

CoRR, 2024

Nemotron-4 340B Technical Report.

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

CoRR, 2024

Stateful Conformer with Cache-Based Inference for Streaming Automatic Speech Recognition.

Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2024

Investigating End-to-End ASR Architectures for Long Form Audio Transcription.

Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition.

Dima Rekesh, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Ankur Kumar, Boris Ginsburg

CoRR, 2023

Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition.

Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022.

Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

2021

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services.

Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg

CoRR, 2021

I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications.

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

CoRR, 2021

SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition.

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

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications.

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

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

A Fast and Robust BERT-based Dialogue State Tracker for Schema Guided Dialogue Dataset.

Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta

Proceedings of the KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption co-located with the 26TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020), 2020

Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings.

Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Deep Multi-Task Learning for Interpretable Glaucoma Detection.

Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak

Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Leveraging Semi-Supervised Learning for Fairness using Neural Networks.

Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Virtual Adversarial Training for Semi-supervised Verification Tasks.

Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu

Proceedings of the 27th European Signal Processing Conference, 2019

MARS: Memory Attention-Aware Recommender System.

Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Machine learning for Gravity Spy: Glitch classification and dataset.

Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Joshua R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos

Inf. Sci., 2018

MARS: Memory Attention-Aware Recommender System.

Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu

CoRR, 2018

Direct: Deep Discriminative Embedding for Clustering of Ligo Data.

Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps.

Sara Amini, Vahid Noroozi, Amit Pande, Satyajit Gupte, Philip S. Yu, Chris Kanich

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Semi-supervised Deep Representation Learning for Multi-View Problems.

Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors.

Sara Amini, Vahid Noroozi, Sara Bahaadini, Philip S. Yu, Chris Kanich

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Joint Deep Modeling of Users and Items Using Reviews for Recommendation.

Lei Zheng, Vahid Noroozi, Philip S. Yu

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

SEVEN: Deep Semi-supervised Verification Networks.

Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Hierarchical collaborative embedding for context-aware recommendations.

Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2013

Adaptive load balancing in LTE-Advanced networks with base station coordination.

Vahid Noroozi, Aliazam Abbasfar

Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

2012

Alpinist CellularDE: a cellular based optimization algorithm for dynamic environments.

Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Two phased cellular PSO: A new collaborative cellular algorithm for optimization in dynamic environments.

Ali Sharifi, Vahid Noroozi, Masoud Bashiri, Ali B. Hashemi, Mohammad Reza Meybodi

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems.

Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi

Proceedings of the Adaptive and Natural Computing Algorithms, 2011