Sandeep Subramanian

According to our database, Sandeep Subramanian authored at least 31 papers between 2013 and 2024.

Collaborative distances:

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

2024

Nemotron-4 15B Technical Report.

Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro

CoRR, 2024

Mixtral of Experts.

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2024

2023

Retrieval meets Long Context Large Language Models.

Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2023

2022

Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation.

Virginia Adams, Sandeep Subramanian, Mike Chrzanowski, Oleksii Hrinchuk, Oleksii Kuchaiev

CoRR, 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

NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21.

Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev

CoRR, 2021

NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21.

Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev

Proceedings of the Sixth Conference on Machine Translation, 2021

2020

Multi-scale Transformer Language Models.

Sandeep Subramanian, Ronan Collobert, Marc'Aurelio Ranzato, Y-Lan Boureau

CoRR, 2020

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.

Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.

Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio, Michael C. Mozer

CoRR, 2019

A Framework Towards Domain Specific Video Summarization.

Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.

Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer

Proceedings of the 36th International Conference on Machine Learning, 2019

Multiple-Attribute Text Rewriting.

Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau

Proceedings of the 7th International Conference on Learning Representations, 2019

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study.

Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Towards Extracting Supporting Information About Predicted Protein-Protein Interactions.

Adam Roth, Sandeep Subramanian, Madhavi K. Ganapathiraju

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Multiple-Attribute Text Style Transfer.

Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau

CoRR, 2018

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.

Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio

CoRR, 2018

A Deep Reinforcement Learning Chatbot (Short Version).

Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

CoRR, 2018

New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations.

Sandeep Subramanian, Soumen Chakrabarti

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Towards Text Generation with Adversarially Learned Neural Outlines.

Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Complex Networks.

Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.

Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal

Proceedings of the 6th International Conference on Learning Representations, 2018

Neural Models for Key Phrase Extraction and Question Generation.

Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017

Antibody Exchange: Information Extraction of Biological Antibody Donation and a Web-Portal to Find Donors and Seekers.

Sandeep Subramanian, Madhavi K. Ganapathiraju

Data, 2017

A Deep Reinforcement Learning Chatbot.

Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

CoRR, 2017

Deep Complex Networks.

Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal

CoRR, 2017

Neural Models for Key Phrase Detection and Question Generation.

Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler

CoRR, 2017

Machine Comprehension by Text-to-Text Neural Question Generation.

Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Adversarial Generation of Natural Language.

Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2016

Neural Architectures for Named Entity Recognition.

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer

Proceedings of the NAACL HLT 2016, 2016

2013

VIT@MediaEval 2013 Placing Task : Location Specific Tag Weighting for Language Model Based Placing of Images.

Sandeep Subramanian, Vivek Vidyasagaran, Krishna Chandramouli

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013