4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 4 cited
CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data
Ke Zhang, Jin Fan, Shaoli Huang +3
Data augmentation has been proved effective in training deep models. Existing data augmentation methods tackle the fine-grained problem by blending image pairs and fusing correspon…
cs.LG2021★ 1 cited
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN
Haowei Jiang, Feiwei Qin, Jin Cao +2
The recurrent network architecture is a widely used model in sequence modeling, but its serial dependency hinders the computation parallelization, which makes the operation ineffic…