繁重 发表于 2025-4-1 02:40:17
,Enhancing Optimization Robustness in 1-Bit Neural Networks Through Stochastic Sign Descent,ligning noisy floating-point gradients with binary parameters. To address this, we introduce Diode, a groundbreaking optimizer designed explicitly for BNNs that bridges this gap by utilizing the gradient’s sign information in a unique, latent-weight-free approach. By focusing on the gradient sign’s向外才掩饰 发表于 2025-4-1 06:25:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242327.jpgmydriatic 发表于 2025-4-1 10:32:46
http://reply.papertrans.cn/25/2424/242327/242327_63.png愚笨 发表于 2025-4-1 17:31:01
http://reply.papertrans.cn/25/2424/242327/242327_64.png矛盾 发表于 2025-4-1 22:35:08
http://reply.papertrans.cn/25/2424/242327/242327_65.png啪心儿跳动 发表于 2025-4-2 00:23:32
1.5.1.7.3 Cold working, plastic deformation,er-based methods do not leverage the geometric priors of the triplane component in their architecture, often leading to sub-optimal quality given the limited size of 3D data and slow training. In this work, we present the Convolutional Reconstruction Model (CRM), a high-fidelity feed-forward single