Goh, Gabriel

9 publications

ICLR 2025 Scaling and Evaluating Sparse Autoencoders Leo Gao, Tom Dupre la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu

ICML 2021 Learning Transferable Visual Models from Natural Language Supervision 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

Distill 2021 Multimodal Neurons in Artificial Neural Networks Gabriel Goh, Nick Cammarata, Chelsea Voss, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, Chris Olah

ICML 2021 Zero-Shot Text-to-Image Generation Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever

Distill 2020 Thread: Circuits Nick Cammarata, Shan Carter, Gabriel Goh, Chris Olah, Michael Petrov, Ludwig Schubert, Chelsea Voss, Ben Egan, Swee Kiat Lim

Distill 2020 Understanding RL Vision Jacob Hilton, Nick Cammarata, Shan Carter, Gabriel Goh, Chris Olah

Distill 2019 A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features' Logan Engstrom, Justin Gilmer, Gabriel Goh, Dan Hendrycks, Andrew Ilyas, Aleksander Madry, Reiichiro Nakano, Preetum Nakkiran, Shibani Santurkar, Brandon Tran, Dimitris Tsipras, Eric Wallace

Distill 2017 Why Momentum Really Works Gabriel Goh

NeurIPS 2016 Satisfying Real-World Goals with Dataset Constraints Gabriel Goh, Andrew Cotter, Maya Gupta, Michael P Friedlander