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LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
We present LayerSkip, an end-to-end solution to speed-up inference of large language models (LLMs).
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
Remarkably, regularized CCA can identify low-dimensional weak covarying structures even when the number of samples is much smaller than the dimensionality of the data, which is a regime challenging for all dimensionality reduction methods.
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