- 3.40 - SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE
- 3.58 - Aggregated Residual Transformations for Deep Neural Networks (16 Nov 2016)
- 3.74 - SGDR: Stochastic Gradient Descent with Restarts (13 Aug 2016)
- 3.74 - Densely Connected Convolutional Networks (25 Aug 2016)
- 3.77 - Residual Networks of Residual Networks: Multilevel Residual Networks (9 Aug 2016)
- 17.31 - Aggregated Residual Transformations for Deep Neural Networks (16 Nov 2016)
- 17.40 - SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE
- 18.70 - SGDR: Stochastic Gradient Descent with Restarts (13 Aug 2016)
- 19.25 - Densely Connected Convolutional Networks (25 Aug 2016)
- 19.73 - Residual Networks of Residual Networks: Multilevel Residual Networks (9 Aug 2016)
- 1.59 - Residual Networks of Residual Networks: Multilevel Residual Networks (9 Aug 2016)
- 1.59 - Densely Connected Convolutional Networks (25 Aug 2016)
- 18.71, 17.36 - PolyNet: A Pursuit of Structural Diversity in Very Deep Networks (17 Nov 2016)
- 19.1 - Aggregated Residual Transformations for Deep Neural Networks (16 Nov 2016)
- 4.25, 3.45 - PolyNet: A Pursuit of Structural Diversity in Very Deep Networks (17 Nov 2016)
- 4.4 - Aggregated Residual Transformations for Deep Neural Networks (16 Nov 2016)