Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. | 0 | 0.34 | 2021 |
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. | 0 | 0.34 | 2021 |
Gradient-Based Neural DAG Learning. | 0 | 0.34 | 2020 |
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. | 0 | 0.34 | 2020 |
A Variational Inequality Perspective on Generative Adversarial Networks. | 0 | 0.34 | 2019 |
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. | 0 | 0.34 | 2018 |
SEARNN: Training RNNs with global-local losses. | 0 | 0.34 | 2018 |