7 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 5 cited
Intriguing Properties of Quantization at Scale
Arash Ahmadian, Saurabh Dash, Hongyu Chen +5
Emergent properties have been widely adopted as a term to describe behavior not present in smaller models but observed in larger models. Recent work suggests that the trade-off inc…
cs.LG2020★ 5 cited
Interlocking Backpropagation: Improving depthwise model-parallelism
Aidan N. Gomez, Oscar Key, Kuba Perlin +4
The number of parameters in state of the art neural networks has drastically increased in recent years. This surge of interest in large scale neural networks has motivated the deve…
cs.LG2019★ 7 cited
DQN with model-based exploration: efficient learning on environments with sparse rewards
Stephen Zhen Gou, Yuyang Liu
We propose Deep Q-Networks (DQN) with model-based exploration, an algorithm combining both model-free and model-based approaches that explores better and learns environments with s…