34 citations · 56 across the 3 of their papers we have counts for
Showing 2017 · cs.CVShow all
2 papers · 2 filters
cs.CV2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee +1
Deep multitask networks, in which one neural network produces multiple predictive outputs, can offer better speed and performance than their single-task counterparts but are challe…
cs.CV2017★ 13 cited
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI
Zhao Chen, Darvin Yi
We present a vision-only model for gaming AI which uses a late integration deep convolutional network architecture trained in a purely supervised imitation learning context. Althou…