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DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization
Extensive experiments on multiple natural language understanding benchmarks demonstrate that DSFormer obtains up to 40% better compression than the state-of-the-art low-rank factorizers, leading semi-structured sparsity baselines and popular knowledge distillation approaches.
CapsFlow: Optical Flow Estimation with Capsule Networks
We present a framework to use recently introduced Capsule Networks for solving the problem of Optical Flow, one of the fundamental computer vision tasks.
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