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Found 2 papers, 1 papers with code
Hybrid Random Features
We propose a new class of random feature methods for linearizing softmax and Gaussian kernels called hybrid random features (HRFs) that automatically adapt the quality of kernel estimation to provide most accurate approximation in the defined regions of interest.
Vi-MIX FOR SELF-SUPERVISED VIDEO REPRESENTATION
We find that our video mixing strategy: Vi-Mix, i. e. preliminary mixing of videos followed by CMMC across different modalities in a video, improves the qual- ity of learned video representations.
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