Difference between revisions of "Learning Techniques"
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Learning Problems: | Learning Problems: | ||
| + | * [[PRIMO.ai#Supervised|Supervised Learning]] | ||
| + | * [[PRIMO.ai#Unsupervised|Unsupervised Learning]] | ||
| + | * [[PRIMO.ai#Reinforcement Learning (RL)|Reinforcement Learning (RL)]] | ||
| − | |||
| − | |||
| − | |||
Hybrid Learning Problems: | Hybrid Learning Problems: | ||
| − | * Semi-Supervised Learning | + | * [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] |
* Self-Supervised Learning | * Self-Supervised Learning | ||
* Multi-Instance Learning | * Multi-Instance Learning | ||
Revision as of 11:11, 8 December 2019
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Learning Problems:
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
