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20172022
most citedExploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2018

To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference

Qing Qin, Jie Ren, Jialong Yu +6

The recent advances in deep neural networks (DNNs) make them attractive for embedded systems. However, it can take a long time for DNNs to make an inference on resource-constrained…