Tag: ICLR Conference 2018
Paper in Two minutes: i-RevNet, a deep invertible convolutional network
The ICLR 2018 accepted paper, i-RevNet: Deep Invertible Networks, introduces i-RevNet, an invertible convolutional network, that does not discard any information about the input...
Paper in Two minutes: A novel method for resource efficient image...
This ICLR 2018 accepted paper, Multi-Scale Dense Networks for Resource Efficient Image Classification, introduces a new model to perform image classification with limited computational...
Paper in Two minutes: Using Mean Field Games for learning behavior...
This ICLR 2018 accepted paper, Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations, deals with inference in models of collective...
Ian Goodfellow et al on better text generation via filling in...
In the paper, “MaskGAN: Better Text Generation via Filling in the ______”, Ian Goodfellow, along with William Fedus and Andrew M. Dai have proposed...
Using Meta-Learning in Nonstationary and Competitive Environments with Pieter Abbeel et...
This ICLR 2018 accepted paper, Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments, addresses the use of meta-learning to operate in non-stationary environments,...
Pieter Abbeel et al on how to improve the exploratory behaviour...
The paper, Parameter space noise for exploration proposes parameter space noise as an efficient solution for exploration, a big problem for deep reinforcement learning....