Arvind Neelakantan

According to our database, Arvind Neelakantan authored at least 23 papers between 2012 and 2022.

Collaborative distances:

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

2022

Text and Code Embeddings by Contrastive Pre-Training.

Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, Johannes Heidecke, Pranav Shyam, Boris Power, Tyna Eloundou Nekoul, Girish Sastry, Gretchen Krueger, David Schnurr, Felipe Petroski Such, Kenny Hsu, Madeleine Thompson, Tabarak Khan, Toki Sherbakov, Joanne Jang, Peter Welinder, Lilian Weng

CoRR, 2022

2021

Unsupervised Neural Machine Translation with Generative Language Models Only.

Jesse Michael Han, Igor Babuschkin, Harrison Edwards, Arvind Neelakantan, Tao Xu, Stanislas Polu, Alex Ray, Pranav Shyam, Aditya Ramesh, Alec Radford, Ilya Sutskever

CoRR, 2021

2020

Trading Off Diversity and Quality in Natural Language Generation.

Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan

CoRR, 2020

Language Models are Few-Shot Learners.

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Task-Level Dialogue Composition of Generative Transformer Model.

Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan

Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning.

Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan

CoRR, 2019

Parallel Scheduled Sampling.

Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio

CoRR, 2019

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset.

Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Theory and Experiments on Vector Quantized Autoencoders.

Aurko Roy, Ashish Vaswani, Arvind Neelakantan, Niki Parmar

CoRR, 2018

2017

Learning a Natural Language Interface with Neural Programmer.

Arvind Neelakantan, Quoc V. Le, Martín Abadi, Andrew McCallum, Dario Amodei

Proceedings of the 5th International Conference on Learning Representations, 2017

Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema.

Patrick Verga, Arvind Neelakantan, Andrew McCallum

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks.

Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

RelNet: End-to-end Modeling of Entities & Relations.

Trapit Bansal, Arvind Neelakantan, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

Predicting the impact of scientific concepts using full-text features.

Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel

J. Assoc. Inf. Sci. Technol., 2016

Neural Programmer: Inducing Latent Programs with Gradient Descent.

Arvind Neelakantan, Quoc V. Le, Ilya Sutskever

Proceedings of the 4th International Conference on Learning Representations, 2016

Incorporating Selectional Preferences in Multi-hop Relation Extraction.

Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015

Adding Gradient Noise Improves Learning for Very Deep Networks.

Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens

CoRR, 2015

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods.

Arvind Neelakantan, Ming-Wei Chang

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Compositional Vector Space Models for Knowledge Base Completion.

Arvind Neelakantan, Benjamin Roth, Andrew McCallum

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Compositional Vector Space Models for Knowledge Base Inference.

Arvind Neelakantan, Benjamin Roth, Andrew McCallum

Proceedings of the 2015 AAAI Spring Symposia, 2015

2014

Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space.

Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning Dictionaries for Named Entity Recognition using Minimal Supervision.

Arvind Neelakantan, Michael Collins

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2012

Active error detection and resolution for speech-to-speech translation.

Rohit Prasad, Rohit Kumar, Sankaranarayanan Ananthakrishnan, Wei Chen, Sanjika Hewavitharana, Matthew E. Roy, Fred Choi, Aaron Challenner, Enoch Kan, Arvind Neelakantan, Prem Natarajan

Proceedings of the 2012 International Workshop on Spoken Language Translation, 2012