1.3k citations · 1.7k across the 26 of their papers we have counts for
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3 papers · 1 filter
cs.LG2020
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan +3
Many optimizers have been proposed for training deep neural networks, and they often have multiple hyperparameters, which make it tricky to benchmark their performance. In this wor…
cs.LG2020★ 4 cited
Multi-Stage Influence Function
Hongge Chen, Si Si, Yang Li +4
Multi-stage training and knowledge transfer, from a large-scale pretraining task to various finetuning tasks, have revolutionized natural language processing and computer vision re…
cs.HC2020★ 11 cited
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
Yang Li, Julien Amelot, Xin Zhou +2
It has been of increasing interest in the field to develop automatic machineries to facilitate the design process. In this paper, we focus on assisting graphical user interface (UI…