What areas do you think are most promising right now for people who are just starting out?
- representation learning (the current crop of deep learning methods is just one way of doing it)
- learning long-term dependencies
- marrying representation learning with structured prediction and/or reasoning
- unsupervised representation learning, particularly prediction-based methods for temporal/sequential signals
- marrying representation learning and reinforcement learning
- using learning to speed up the solution of complex inference problems
- theory: do theory (any theory) on deep learning/representation learning
- understanding the landscape of objective functions in deep learning
- in terms of applications: natural language understanding (e.g. for machine translation), video understanding
- learning complex control.
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