In the past decade, deep-learning systems have proven remarkably successful at many artificial-intelligence tasks, but their applications tend to be narrow. ...

Reinforcement learning (RL) is a technique in which an AI agent interacts with an environment and learns a policy based on the rewards that it receives ...

The International Conference on Learning Representations (ICLR), which will be virtual this year and begins next week, is only eight years old. But ...

Transfer learning is a widely used technique for improving the performance of neural networks when labeled training data is scarce. Before a network is ...