9 datasets found

The dataset used in the paper for Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning

The dataset used in the paper for Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning

The dataset used in the paper for Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning

The dataset used in the paper for Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning

Few-shot object detection aims at learning a detector that can fast adapt to previously unseen objects with scarce annotated examples, which is challenging and demanding.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used various tasks such as Associative Retrieval Task, Maze Exploration, Atari...

The nf2vec dataset is used for training the meta-encoder of LLaNA.

A dataset of datasets for learning to learn from few examples.

This dataset is used to evaluate the performance of the proposed Meta-GraphSHS model for discovering structural hole spanners in diverse networks.