most citedDeepLens: Interactive Out-of-distribution Data Detection in NLP Models

8 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE20231 cited

NiCro: Purely Vision-based, Non-intrusive Cross-Device and Cross-Platform GUI Testing

Mulong Xie, Jiaming Ye, Zhenchang Xing +1

To ensure app compatibility and smoothness of user experience across diverse devices and platforms, developers have to perform cross-device, cross-platform testing of their apps, w…

cs.HC20238 cited

DeepLens: Interactive Out-of-distribution Data Detection in NLP Models

Da Song, Zhijie Wang, Yuheng Huang +2

Machine Learning (ML) has been widely used in Natural Language Processing (NLP) applications. A fundamental assumption in ML is that training data and real-world data should follow…

cs.HC20236 cited

DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction

Zhijie Wang, Yuheng Huang, Da Song +2

Recurrent Neural Networks (RNNs) have been widely used in Natural Language Processing (NLP) tasks given its superior performance on processing sequential data. However, it is chall…

cs.LG20235 cited

Neural Episodic Control with State Abstraction

Zhuo Li, Derui Zhu, Yujing Hu +6

Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample inefficiency. Generally, episodic control-based approaches are solutions that leverage highly-rewarded past…

cs.LG20214 cited

ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks

Hua Qi, Zhijie Wang, Qing Guo +4

Over the past few years, deep neural networks (DNNs) have achieved tremendous success and have been continuously applied in many application domains. However, during the practical…