Summary of Faster Inference Of Integer Swin Transformer by Removing the Gelu Activation, By Mohammadreza Tayaranian et al.
Faster Inference of Integer SWIN Transformer by Removing the GELU Activationby Mohammadreza Tayaranian, Seyyed Hasan…
Faster Inference of Integer SWIN Transformer by Removing the GELU Activationby Mohammadreza Tayaranian, Seyyed Hasan…
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networksby Carlos Misael Madrid Padilla,…
TeLU Activation Function for Fast and Stable Deep Learningby Alfredo Fernandez, Ankur MaliFirst submitted to…
Deep ReLU networks – injectivity capacity upper boundsby Mihailo StojnicFirst submitted to arxiv on: 27…
On the Local Complexity of Linear Regions in Deep ReLU Networksby Niket Patel, Guido MontúfarFirst…
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routingby Ziteng Wang, Jun Zhu, Jianfei ChenFirst submitted to…
USEFUSE: Utile Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networksby Muhammad…
Stably unactivated neurons in ReLU neural networksby Natalie Brownlowe, Christopher R. Cornwell, Ethan Montes, Gabriel…
Generating Rectifiable Measures through Neural Networksby Erwin Riegler, Alex Bühler, Yang Pan, Helmut BölcskeiFirst submitted…
Modular addition without black-boxes: Compressing explanations of MLPs that compute numerical integrationby Chun Hei Yip,…