106 citations · 190 across the 13 of their papers we have counts for
8 papers
Self-supervision meets kernel graph neural models: From architecture to augmentations
Jiawang Dan, Ruofan Wu, Yunpeng Liu +8
Graph representation learning has now become the de facto standard when handling graph-structured data, with the framework of message-passing graph neural networks (MPNN) being the…
Knowledge-Based Version Incompatibility Detection for Deep Learning
Zhongkai Zhao, Bonan Kou, Mohamed Yilmaz Ibrahim +2
Version incompatibility issues are rampant when reusing or reproducing deep learning models and applications. Existing techniques are limited to library dependency specifications d…
Software Entity Recognition with Noise-Robust Learning
Tai Nguyen, Yifeng Di, Joohan Lee +2
Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies, such as traceability link recovery, auto…
The Effect of Masking Strategies on Knowledge Retention by Language Models
Jonas Wallat, Tianyi Zhang, Avishek Anand
Language models retain a significant amount of world knowledge from their pre-training stage. This allows knowledgeable models to be applied to knowledge-intensive tasks prevalent…
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…
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…