Feb 10, 2019 · We present a simple meta-learning framework for learning a metric on embeddings that is capable of predicting which feature extractors will ...
We present a simple meta-learning frame- work for learning a metric on embeddings that is capable of predicting which feature extractors will perform well on.
Task2Vec provides vectorial representations of learning tasks (datasets) which can be used to reason about the nature of those tasks and their relations.
We introduce a method to generate vectorial represen- tations of visual classification tasks which can be used to reason about the nature of those tasks and ...
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We introduce a method to generate vectorial representations of visual classification tasks which can be used to reason about the nature of those tasks and ...
Supplementary material for TASK2VEC : Task Embeddings for Meta-Learning. 1. Additional experiments. 1.1. Taskonomy tasks: embedding different tasks sharing ...
Task2Vec [1] proposed a method to construct a vectorized representation for classification tasks. They compute the Fisher matrix for the weights of the trained ...
Feb 10, 2019 · A method to generate vectorial representations of visual classification tasks which can be used to reason about the nature of those tasks and their relations.
[1] proposes Task2Vec, a task embedding based on the estimation of the Fisher information matrix associated with parameters in the so-called probe network that ...
Feb 10, 2019 · We introduce a method to provide vectorial representations of visual classification tasks which can be used to reason about the nature of ...