8 citations · 13 across the 5 of their papers we have counts for
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cs.CV2023
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning
Yang Liu, Shen Yan, Yuge Zhang +5
Vision Transformers have shown great performance in single tasks such as classification and segmentation. However, real-world problems are not isolated, which calls for vision tran…
cs.CV2022
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Yuge Zhang, Quanlu Zhang +4
Despite the impressive progress of general face detection, the tuning of hyper-parameters and architectures is still critical for the performance of a domain-specific face detector…
cs.CV2021★ 1 cited
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain
Yuge Zhang, Quanlu Zhang, Li Lyna Zhang +4
One of the key challenges in Neural Architecture Search (NAS) is to efficiently rank the performances of architectures. The mainstream assessment of performance rankers uses rankin…