Arvind Neelakantan

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 23

Top Topics

Relation Extraction

Recurrent Neural Networks

Natural Language

Top Venues

Publications

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
Text and Code Embeddings by Contrastive Pre-Training. CoRR (2022)
Jesse Michael Han, Igor Babuschkin, Harrison Edwards, Arvind Neelakantan, Tao Xu, Stanislas Polu, Alex Ray, Pranav Shyam, Aditya Ramesh, Alec Radford, Ilya Sutskever
Unsupervised Neural Machine Translation with Generative Language Models Only. CoRR (2021)
Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan
Trading Off Diversity and Quality in Natural Language Generation. CoRR (2020)
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
Language Models are Few-Shot Learners. NeurIPS (2020)
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
Language Models are Few-Shot Learners. CoRR (2020)
Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan
On Task-Level Dialogue Composition of Generative Transformer Model. Insights (2020)
Prasanna Parthasarathi, Arvind Neelakantan, Sharan Narang
On Task-Level Dialogue Composition of Generative Transformer Model. CoRR (2020)
Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio
Parallel Scheduled Sampling. CoRR (2019)
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. EMNLP/IJCNLP (1) (2019)
Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning. CoRR (2019)
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. CoRR (2019)
Aurko Roy, Ashish Vaswani, Arvind Neelakantan, Niki Parmar
Theory and Experiments on Vector Quantized Autoencoders. CoRR (2018)
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. EACL (1) (2017)
Trapit Bansal, Arvind Neelakantan, Andrew McCallum
RelNet: End-to-end Modeling of Entities & Relations. CoRR (2017)
Patrick Verga, Arvind Neelakantan, Andrew McCallum
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. EACL (1) (2017)
Arvind Neelakantan, Quoc V. Le, Martín Abadi, Andrew McCallum, Dario Amodei
Learning a Natural Language Interface with Neural Programmer. ICLR (Poster) (2017)
Trapit Bansal, Arvind Neelakantan, Andrew McCallum
RelNet: End-to-end Modeling of Entities & Relations. AKBC@NIPS (2017)
Arvind Neelakantan, Quoc V. Le, Martín Abadi, Andrew McCallum, Dario Amodei
Learning a Natural Language Interface with Neural Programmer. CoRR (2016)
Patrick Verga, Arvind Neelakantan, Andrew McCallum
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. CoRR (2016)
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. CoRR (2016)
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
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67 (11) (2016)
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
Incorporating Selectional Preferences in Multi-hop Relation Extraction. AKBC@NAACL-HLT (2016)
Arvind Neelakantan, Quoc V. Le, Ilya Sutskever
Neural Programmer: Inducing Latent Programs with Gradient Descent. ICLR (Poster) (2016)
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Compositional Vector Space Models for Knowledge Base Inference. AAAI Spring Symposia (2015)
Arvind Neelakantan, Ming-Wei Chang
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. CoRR (2015)
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. CoRR (2015)
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Compositional Vector Space Models for Knowledge Base Completion. CoRR (2015)
Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens
Adding Gradient Noise Improves Learning for Very Deep Networks. CoRR (2015)
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Compositional Vector Space Models for Knowledge Base Completion. ACL (1) (2015)
Arvind Neelakantan, Ming-Wei Chang
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. HLT-NAACL (2015)
Arvind Neelakantan, Michael Collins
Learning Dictionaries for Named Entity Recognition using Minimal Supervision. CoRR (2015)
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. EMNLP (2014)
Arvind Neelakantan, Michael Collins
Learning Dictionaries for Named Entity Recognition using Minimal Supervision. EACL (2014)
Rohit Prasad, Rohit Kumar, Sankaranarayanan Ananthakrishnan, Wei Chen, Sanjika Hewavitharana, Matthew E. Roy, Fred Choi, Aaron Challenner, Enoch Kan, Arvind Neelakantan, Prem Natarajan
Active error detection and resolution for speech-to-speech translation. IWSLT (2012)