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Supplementary Materials for On the Effects of Data Scale on Computer Control Agents
For completeness, in the following we include a datasheet based on the format of [1]. For what purpose was the dataset created? Was there a specific task in mind? Who created the dataset (e.g., which team, research group) and on behalf of which entity What do the instances that comprise the dataset represent (e.g., documents, photos, people, The dataset contains episodes of human demonstrations for mobile device control. How many instances are there in total (of each type, if appropriate)?
Granularity__final
We use the iWildCam version 2.0 released in 2021 as a Examples of train set images can be seen in Figure 14. Random examples from the out-of-distribution test set. Figure 15 shows examples of train set images. Figure 15: Random examples from the ImageNet ILSVRC 2012 challenge train set [37, 11]. The full training set is notably not class balanced, exhibiting a long-tailed distribution (see Figure 16). Figure 17: Random examples from the iNaturalist 2017 challenge train set [46].
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
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COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
Our insight is that satellite's earth observation photos are not just images
