output
20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2022Show all

24 papers · 1 filter

cs.LG2022★ 13 cited

Convolution-enhanced Evolving Attention Networks

Yujing Wang, Yaming Yang, Zhuo Li +7

Attention-based neural networks, such as Transformers, have become ubiquitous in numerous applications, including computer vision, natural language processing, and time-series anal…

cs.CR2022

Post-Quantum -to-1 Trapdoor Claw-free Functions from Extrapolated Dihedral Cosets

Xingyu Yan, Licheng Wang, Lize Gu +2

\emph{Noisy trapdoor claw-free function} (NTCF) as a powerful post-quantum cryptographic tool can efficiently constrain actions of untrusted quantum devices. However, the original…

cs.CC2022

Description Graphs, Matrix-Power Stabilizations and Graph Isomorphism in Polynomial Time

Rui Xue

It is confirmed in this work that the graph isomorphism can be tested in polynomial time, which resolves a longstanding problem in the theory of computation. The contributions are…

cs.LG2022★ 34 cited

MaxMatch: Semi-Supervised Learning with Worst-Case Consistency

Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen +5

In recent years, great progress has been made to incorporate unlabeled data to overcome the inefficiently supervised problem via semi-supervised learning (SSL). Most state-of-the-a…

cs.SE2022★ 70 cited

Towards Understanding Third-party Library Dependency in C/C++ Ecosystem

Wei Tang, Zhengzi Xu, Chengwei Liu +5

Third-party libraries (TPLs) are frequently reused in software to reduce development cost and the time to market. However, external library dependencies may introduce vulnerabiliti…

cs.LG2022★ 7 cited

Optimizing Partial Area Under the Top-k Curve: Theory and Practice

Zitai Wang, Qianqian Xu, Zhiyong Yang +3

Top-k error has become a popular metric for large-scale classification benchmarks due to the inevitable semantic ambiguity among classes. Existing literature on top-k optimization…