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Sanjeev Satheesh
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2020 – today
- 2024
- [i12]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) - [i11]Jupinder Parmar, Sanjeev Satheesh, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models. CoRR abs/2407.07263 (2024)
2010 – 2019
- 2018
- [c13]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c12]Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh:
Robust Speech Recognition Using Generative Adversarial Networks. ICASSP 2018: 5639-5643 - [c11]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold fusion: Training Seq2seq Models Together with Language Models. ICLR (Workshop) 2018 - [c10]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold Fusion: Training Seq2Seq Models Together with Language Models. INTERSPEECH 2018: 387-391 - 2017
- [c9]Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu:
Exploring neural transducers for end-to-end speech recognition. ASRU 2017: 206-213 - [c8]Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh:
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling. ICML 2017: 2188-2197 - [i10]Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh:
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling. CoRR abs/1703.00096 (2017) - [i9]Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl, Atul Kumar, Hairong Liu, Vinay Rao, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu:
Reducing Bias in Production Speech Models. CoRR abs/1705.04400 (2017) - [i8]Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu:
Exploring Neural Transducers for End-to-End Speech Recognition. CoRR abs/1707.07413 (2017) - [i7]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold Fusion: Training Seq2Seq Models Together with Language Models. CoRR abs/1708.06426 (2017) - [i6]Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh:
Robust Speech Recognition Using Generative Adversarial Networks. CoRR abs/1711.01567 (2017) - [i5]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017) - 2016
- [c7]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [c6]Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh:
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML 2016: 2024-2033 - [i4]Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates:
Active Learning for Speech Recognition: the Power of Gradients. CoRR abs/1612.03226 (2016) - 2015
- [j1]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [i3]Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015) - 2014
- [i2]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - [i1]Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng:
Deep Speech: Scaling up end-to-end speech recognition. CoRR abs/1412.5567 (2014) - 2011
- [c5]Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David J. Wu, Andrew Y. Ng:
Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning. ICDAR 2011: 440-445 - [c4]Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei:
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. NIPS 2011: 567-575 - 2010
- [c3]Harikrishna Narasimhan, Sanjeev Satheesh, Dinesh Sriram:
Automatic summarization of cricket video events using genetic algorithm. GECCO (Companion) 2010: 2051-2054
2000 – 2009
- 2009
- [c2]Sanjeev Satheesh, Harikrishna Narasimhan, Pramala Senthil:
Evolving player-specific content for level based arcade games. FDG 2009: 329-330 - [c1]Harikrishna Narasimhan, Sanjeev Satheesh:
A Randomized Iterative Improvement Algorithm for Photomosaic Generation. NaBIC 2009: 777-781
Coauthor Index
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