VIT@MediaEval 2013 Placing Task : Location Specific Tag Weighting for Language Model Based Placing of Images. - Sandeep Subramanian; Vivek Vidyasagaran; Krishna Chandramouli (MediaEval, 2013)

Neural Architectures for Named Entity Recognition. - Guillaume Lample; Miguel Ballesteros; Sandeep Subramanian; Kazuya Kawakami; Chris Dyer (HLT-NAACL, 2016)

Adversarial Generation of Natural Language. - Sandeep Subramanian; Sai Rajeswar; Francis Dutil; Chris Pal; Aaron C. Courville (Rep4NLP@ACL, 2017)

Machine Comprehension by Text-to-Text Neural Question Generation. - Xingdi Yuan; Tong Wang 012; Çaglar Gülçehre; Alessandro Sordoni; Philip Bachman; Saizheng Zhang; Sandeep Subramanian; Adam Trischler (Rep4NLP@ACL, 2017)

Neural Models for Key Phrase Detection and Question Generation. - Sandeep Subramanian; Tong Wang 012; Xingdi Yuan; Adam Trischler (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)

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; et al. (CoRR, 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)

Neural Models for Key Phrase Extraction and Question Generation. - Sandeep Subramanian; Tong Wang 012; Xingdi Yuan; Saizheng Zhang; Adam Trischler; Yoshua Bengio (QA@ACL, 2018)

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. - Sandeep Subramanian; Adam Trischler; Yoshua Bengio; Christopher J. Pal (ICLR (Poster), 2018)

Deep Complex Networks. - Chiheb Trabelsi; Olexa Bilaniuk; Ying Zhang 033; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (ICLR (Poster), 2018)

Towards Text Generation with Adversarially Learned Neural Outlines. - Sandeep Subramanian; Sai Rajeswar; Alessandro Sordoni; Adam Trischler; Aaron C. Courville; Chris Pal (NeurIPS, 2018)

New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations. - Sandeep Subramanian; Soumen Chakrabarti (SIGIR, 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; et al. (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)

Multiple-Attribute Text Style Transfer. - Sandeep Subramanian; Guillaume Lample; Eric Michael Smith; Ludovic Denoyer; Marc'Aurelio Ranzato; Y-Lan Boureau (CoRR, 2018)

Towards Extracting Supporting Information About Predicted Protein-Protein Interactions. - Adam Roth; Sandeep Subramanian; Madhavi K. Ganapathiraju (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. - Chinnadhurai Sankar; Sandeep Subramanian; Chris Pal; Sarath Chandar; Yoshua Bengio (ACL (1), 2019)

Multiple-Attribute Text Rewriting. - Guillaume Lample; Sandeep Subramanian; Eric Michael Smith; Ludovic Denoyer; Marc'Aurelio Ranzato; Y-Lan Boureau (ICLR (Poster), 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 (ICML, 2019)

A Framework Towards Domain Specific Video Summarization. - Vishal Kaushal; Sandeep Subramanian; Suraj Kothawade; Rishabh K. Iyer; Ganesh Ramakrishnan (WACV, 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)

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. - Jonathan Pilault; Raymond Li; Sandeep Subramanian; Chris Pal (EMNLP (1), 2020)

Multi-scale Transformer Language Models. - Sandeep Subramanian; Ronan Collobert; Marc'Aurelio Ranzato; Y-Lan Boureau (CoRR, 2020)

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 (WMT@EMNLP, 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 Offline Speech Translation Systems for IWSLT 2022. - Oleksii Hrinchuk; Vahid Noroozi; Ashwinkumar Ganesan; Sarah Campbell; Sandeep Subramanian; Somshubra Majumdar; Oleksii Kuchaiev (IWSLT@ACL, 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)

Retrieval meets Long Context Large Language Models. - Peng Xu 008; Wei Ping; Xianchao Wu; Lawrence McAfee; Chen Zhu 001; Zihan Liu 001; Sandeep Subramanian; Evelina Bakhturina; Mohammad Shoeybi; Bryan Catanzaro (ICLR, 2024)

Mixtral of Experts. - Albert Q. Jiang; Alexandre Sablayrolles; Antoine Roux; Arthur Mensch; Blanche Savary; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Emma Bou Hanna; Florian Bressand; Gianna Lengyel; Guillaume Bour; et al. (CoRR, 2024)

Nemotron-4 15B Technical Report. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Mostofa Patwary; Sandeep Subramanian; Dan Su 003; Chen Zhu 001; Deepak Narayanan; Aastha Jhunjhunwala; Ayush Dattagupta; Vibhu Jawa; Jiwei Liu; et al. (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; et al. (CoRR, 2024)

Pixtral 12B. - Pravesh Agrawal; Szymon Antoniak; Emma Bou Hanna; Baptiste Bout; Devendra Singh Chaplot; Jessica Chudnovsky; Diogo Costa; Baudouin De Monicault; Saurabh Garg; Théophile Gervet; Soham Ghosh; Amélie Héliou; et al. (CoRR, 2024)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)