4 papers
RiPPLE: Cross-Space Performance Prediction from Early Training for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
Neural architecture search (NAS) evaluates candidate networks, but fully training enough architectures to rank an entire space is expensive. Zero-cost proxies score architectures a…
CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
Zero-cost proxies rank architectures cheaply, but their reliability varies across search spaces. We introduce CoRA-NAS (COarse Ranking + Anchor-residual), a two-stage framework com…
SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking
Zheng Gao, Yifan Yang, Xiaoyu Li +4
Watermarking the initial noise of diffusion models has emerged as a promising approach for image provenance, but content-independent noise patterns can be forged via inversion and…
Exchangeability in Neural Network and its Application to Dynamic Pruning
Pu, Yi, Tianlang Chen +2
Modern neural networks (NN) contain an ever-growing number of parameters, substantially increasing the memory and computational cost of inference. Researchers have explored various…