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20222026
most citedGet More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference

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stat.ML2022

Deep Unfolded Tensor Robust PCA with Self-supervised Learning

Harry Dong, Megna Shah, Sean Donegan +1

Tensor robust principal component analysis (RPCA), which seeks to separate a low-rank tensor from its sparse corruptions, has been crucial in data science and machine learning wher…