Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Aditya Ramesh

Aditya Ramesh

University of Michigan, Ann Arbor

Zero-Shot Text-to-Image Generation


Feb 26, 2021
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever


  Access Paper or Ask Questions

Learning Transferable Visual Models From Natural Language Supervision


Feb 26, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever


  Access Paper or Ask Questions

Scaling Laws for Autoregressive Generative Modeling


Nov 06, 2020
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish

* 20+17 pages, 33 figures; added appendix with additional language results 

  Access Paper or Ask Questions

Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits


Jul 09, 2020
Aditya Ramesh, Paulo Rauber, Jürgen Schmidhuber


  Access Paper or Ask Questions

CompressNet: Generative Compression at Extremely Low Bitrates


Jun 14, 2020
Suraj Kiran Raman, Aditya Ramesh, Vijayakrishna Naganoor, Shubham Dash, Giridharan Kumaravelu, Honglak Lee


  Access Paper or Ask Questions

Language Models are Few-Shot Learners


Jun 05, 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

* 40+32 pages 

  Access Paper or Ask Questions

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories


Mar 16, 2019
Wenshuo Wang, Aditya Ramesh, Ding Zhao

* 12 pages, 11 figures 

  Access Paper or Ask Questions

A Spectral Regularizer for Unsupervised Disentanglement


Dec 04, 2018
Aditya Ramesh, Youngduck Choi, Yann LeCun


  Access Paper or Ask Questions

Backpropagation for Implicit Spectral Densities


Jun 01, 2018
Aditya Ramesh, Yann LeCun


  Access Paper or Ask Questions

Disentangling factors of variation in deep representations using adversarial training


Nov 10, 2016
Michael Mathieu, Junbo Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

* Conference paper in NIPS 2016 

  Access Paper or Ask Questions