Sanjeev Satheesh

According to our database, Sanjeev Satheesh authored at least 21 papers between 2009 and 2024.

Collaborative distances:

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

2024

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs.

Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models.

Jupinder Parmar, Sanjeev Satheesh, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

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

2018

Cold Fusion: Training Seq2Seq Models Together with Language Models.

Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Robust Speech Recognition Using Generative Adversarial Networks.

Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Topic Compositional Neural Language Model.

Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Reducing Bias in Production Speech Models.

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

CoRR, 2017

Exploring Neural Transducers for End-to-End Speech Recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

CoRR, 2017

Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling.

Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh

Proceedings of the 34th International Conference on Machine Learning, 2017

Exploring neural transducers for end-to-end speech recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Active Learning for Speech Recognition: the Power of Gradients.

Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates

CoRR, 2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

ImageNet Large Scale Visual Recognition Challenge.

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

Int. J. Comput. Vis., 2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

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

CoRR, 2015

2014

Deep Speech: Scaling up end-to-end speech recognition.

Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng

CoRR, 2014

2011

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition.

Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning.

Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David J. Wu, Andrew Y. Ng

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010

Automatic summarization of cricket video events using genetic algorithm.

Harikrishna Narasimhan, Sanjeev Satheesh, Dinesh Sriram

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

A Randomized Iterative Improvement Algorithm for Photomosaic Generation.

Harikrishna Narasimhan, Sanjeev Satheesh

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Evolving player-specific content for level based arcade games.

Sanjeev Satheesh, Harikrishna Narasimhan, Pramala Senthil

Proceedings of the 4th International Conference on Foundations of Digital Games, 2009