5.3k citations · 11.9k across the 8 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2022★ 1 cited
Exploring through Random Curiosity with General Value Functions
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste +1
Efficient exploration in reinforcement learning is a challenging problem commonly addressed through intrinsic rewards. Recent prominent approaches are based on state novelty or var…
cs.LG2020★ 150 cited
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz +16
We identify empirical scaling laws for the cross-entropy loss in four domains: generative image modeling, video modeling, multimodal imagetext models, and mathemat…
cs.LG2018
Backpropagation for Implicit Spectral Densities
Aditya Ramesh, Yann LeCun
Most successful machine intelligence systems rely on gradient-based learning, which is made possible by backpropagation. Some systems are designed to aid us in interpreting data wh…