Difference between revisions of "Learning Techniques"
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Revision as of 10:33, 8 December 2019
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Learning Problems:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Hybrid Learning Problems:
- Semi-Supervised Learning
- Self-Supervised Learning
- Multi-Instance Learning
Statistical Inference:
- Inductive Learning
- Deductive Inference
- Transductive Learning
Learning Techniques:
- Text Transfer Learning
- Image/Video Transfer Learning
- Few Shot Learning
- Transfer Learning a model trained on one task is re-purposed on a second related task
- Ensemble Learning
- Multi-Task Learning (MTL)
- Apprenticeship Learning - Inverse Reinforcement Learning (IRL)
- Imitation Learning
- Simulated Environment Learning
- Lifelong Learning - Catastrophic Forgetting Challenge
