Here is a selection of interesting ICLR-2020 papers to read:
- “Privacy-preserving Representation Learning by Disentanglement”
- “Toward Controllable Text Content Manipulation”
- “PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS”
- “Analyzing Privacy Loss in Updates of Natural Language Models”
- “Learning from Positive and Unlabeled Data with Adversarial Training”
- “A Gradient-Based Approach to Neural Networks Structure Learning”
- “Federated Learning with Matched Averaging”
- “Efficient and Robust Asynchronous Federated Learning with Stragglers”
- “Classification-Based Anomaly Detection for General Data”
- “Distributed Training Across the World”
- “Adversarially learned anomaly detection for time series data”
- “The Secret Revealer: Generative Model Inversion Attacks Against Deep Neural Networks”
- “Differentially Private Meta-Learning”