Deep Learning
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
Sungryull Sohn, Junhyuk Oh, Honglak Lee
Neural Information Processing Systems http://nips.cc/
Multi-ObjectiveDeepLearning withAdaptiveReferenceVectors
Many deep learning models involve optimizing multiple objectives. Since objectives are often conflicting, we aim to get diverse and representative trade-off solutions among these objectives.
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Neural Information Processing Systems http://nips.cc/
Leveraging sparse and shared feature activations for disentangled representation learning
However, this is not always the case, as different tasks can compete with each other and lead to weaker models.