Diverse Weight Averaging for Out-of-Distribution Generalization

Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier +3

Standard neural networks struggle to generalize under distribution shifts in computer vision. Fortunately, combining multiple networks can consistently improve out-of-distribution…