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Found 5 papers, 4 papers with code
Automated Creative Optimization for E-Commerce Advertising
However, interactions between creative elements may be more complex than the inner product, and the FM-estimated CTR may be of high variance due to limited feedback.
Automatic Data Augmentation for 3D Medical Image Segmentation
Data augmentation is an effective and universal technique for improving generalization performance of deep neural networks.
Efficient Neural Architecture Search via Proximal Iterations
Recently, DARTS, which constructs a differentiable search space and then optimizes it by gradient descent, can obtain high-performance architecture and reduces the search time to several days.
Bayesian Optimized Continual Learning with Attention Mechanism
Though neural networks have achieved much progress in various applications, it is still highly challenging for them to learn from a continuous stream of tasks without forgetting.
Reinforced Continual Learning
In this work, a novel approach for continual learning is proposed, which searches for the best neural architecture for each coming task via sophisticatedly designed reinforcement learning strategies.
