Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning

11 January 2020

Papers citing "Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning"

4 / 4 papers shown

Title
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 890 0 11 Nov 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 263 1,400 0 01 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016