Arvind Neelakantan

34 papers A* 3A 1Journal 19Unranked 11

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