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Deep Projective Rotation Estimation through Relative Supervision
While self-supervised learning has been used successfully for translational object keypoints, in this work, we show that naively applying relative supervision to the rotational group $SO(3)$ will often fail to converge due to the non-convexity of the rotational space.
Examining the rhetorical capacities of neural language models
In this paper, we propose a method that quantitatively evaluates the rhetorical capacities of neural LMs.
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