Discover and read the best of Twitter Threads about #ContinuousTimeMethods

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VGG, U-Net, TCN, ... CNNs are powerful but must be tailored to specific problems, data-types, -lenghts & -resolutions.

Can we design a single CNN that works well on all these settings?πŸ€”Yes! Meet the 𝐂𝐂𝐍𝐍, a single CNN that achieves SOTA on several datasets, e.g., LRA!πŸ”₯
𝐌𝐚𝐒𝐧 𝐈𝐝𝐞𝐚: Architecture changes are needed to model long range dependencies for signals of different length, res & dims, e.g., pooling, depth, kernel sizes.

To solve all tasks with a single CNN, it must model long range deps. at every layer: use Continuous Conv Kernels!
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