2 citations · 5 across the 5 of their papers we have counts for
5 papers
Learning Causal Features for Incremental Object Detection
Zhenwei He, Lei Zhang
Object detection limits its recognizable categories during the training phase, in which it can not cover all objects of interest for users. To satisfy the practical necessity, the…
Scaling Laws Behind Code Understanding Model
Jiayi Lin, Hande Dong, Yutao Xie +1
The scaling law is becoming a fundamental law in many machine learning areas. That is, test error falls off with the power law when increasing training data, model size, and comput…
Secure and Private Vickrey Auction Protocols: A Secure Multiparty Computation Approach
Lucy Klinger, Mengfan Lyu, Lei Zhang
Recent attention on secure multiparty computation and blockchain technology has garnered new interest in developing auction protocols in a decentralized setting. In this paper, we…
Securing Autonomous Air Traffic Management: Blockchain Networks Driven by Explainable AI
Louise Axon, Dimitrios Panagiotakopoulos, Samuel Ayo +7
Air Traffic Management data systems today are inefficient and not scalable to enable future unmanned systems. Current data is fragmented, siloed, and not easily accessible. There i…
Multi-View Clustering from the Perspective of Mutual Information
Fu Lele, Zhang Lei, Wang Tong +3
Exploring the complementary information of multi-view data to improve clustering effects is a crucial issue in multi-view clustering. In this paper, we propose a novel model based…