Difference between revisions of "Few Shot Learning"
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* [[Multitask Learning]] | * [[Multitask Learning]] | ||
* [http://medium.com/quick-code/understanding-few-shot-learning-in-machine-learning-bede251a0f67 Understanding few-shot learning in machine learning | Michael J. Garbade] | * [http://medium.com/quick-code/understanding-few-shot-learning-in-machine-learning-bede251a0f67 Understanding few-shot learning in machine learning | Michael J. Garbade] | ||
| − | * [http://towardsdatascience.com/advances-in-few-shot-learning-a-guided-tour-36bc10a68b77 Advances in few-shot learning: a guided tour | Oscar Knagg] | + | * [http://towardsdatascience.com/advances-in-few-shot-learning-a-guided-tour-36bc10a68b77 Advances in few-shot learning: a guided tour | Oscar Knagg - Towards Data Science] |
| + | ** [http://towardsdatascience.com/advances-in-few-shot-learning-reproducing-results-in-pytorch-aba70dee541d Advances in few-shot learning: reproducing results in PyTorch - Towards Data Science] | ||
| + | * [http://arxiv.org/pdf/1606.04080.pdf Matching Networks: A differentiable nearest-neighbors classifier] | ||
| + | * [http://arxiv.org/pdf/1703.05175.pdf Prototypical Networks: Learning prototypical representations] | ||
| + | * [http://arxiv.org/pdf/1703.03400.pdf Model-agnostic Meta-Learning: Learning to fine-tune] | ||
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<youtube>Q-agrHm-ztU</youtube> | <youtube>Q-agrHm-ztU</youtube> | ||
<youtube>LMfLRF9VKrc</youtube> | <youtube>LMfLRF9VKrc</youtube> | ||
Revision as of 13:31, 4 January 2019
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- Transfer Learning
- Multitask Learning
- Understanding few-shot learning in machine learning | Michael J. Garbade
- Advances in few-shot learning: a guided tour | Oscar Knagg - Towards Data Science
- Matching Networks: A differentiable nearest-neighbors classifier
- Prototypical Networks: Learning prototypical representations
- Model-agnostic Meta-Learning: Learning to fine-tune
