Jacob Jackson

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 4

Top Topics

Hyperparameters

Top Venues

Publications

Jacob Jackson
An Isometric Stochastic Optimizer. CoRR (2023)
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
Scaling Laws for Autoregressive Generative Modeling. CoRR (2020)
Jacob Jackson, John Schulman
Semi-Supervised Learning by Label Gradient Alignment. CoRR (2019)
Xingyou Song, Yilun Du, Jacob Jackson
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. CoRR (2019)
Igor N. Aizenberg, Jacob Jackson, Shane Alexander
Classification of blurred textures using multilayer neural network based on multi-valued neurons. IJCNN (2011)
Igor N. Aizenberg, Shane Alexander, Jacob Jackson
Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. ISMVL (2011)
Igor N. Aizenberg, Shane Alexander, Jacob Jackson, Thomas Neal, Jeffrey Wilson, Kristi Kendrick
Intelligent edge enhancement using multilayer neural network based on multi-valued neurons. Image Processing: Algorithms and Systems (2011)
Igor N. Aizenberg, Matthew Caudill, Jacob Jackson, Shane Alexander
Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function. IJCNN (2010)