27 citations · 36 across the 8 of their papers we have counts for
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cs.CV2022★ 27 cited
MILAN: Masked Image Pretraining on Language Assisted Representation
Zejiang Hou, Fei Sun, Yen-Kuang Chen +2
Self-attention based transformer models have been dominating many computer vision tasks in the past few years. Their superb model qualities heavily depend on the excessively large…
cs.CL2022
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation
Zejiang Hou, Julian Salazar, George Polovets
Large pretrained language models (PLMs) are often domain- or task-adapted via fine-tuning or prompting. Finetuning requires modifying all of the parameters and having enough data t…
cs.CV2022★ 2 cited
CHEX: CHannel EXploration for CNN Model Compression
Zejiang Hou, Minghai Qin, Fei Sun +7
Channel pruning has been broadly recognized as an effective technique to reduce the computation and memory cost of deep convolutional neural networks. However, conventional pruning…