Summary of Uncovering Layer-dependent Activation Sparsity Patterns in Relu Transformers, by Cody Wild et al.
Uncovering Layer-Dependent Activation Sparsity Patterns in ReLU Transformersby Cody Wild, Jesper AndersonFirst submitted to arxiv…
Summary of A Complete Set Of Quadratic Constraints For Repeated Relu and Generalizations, by Sahel Vahedi Noori et al.
A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizationsby Sahel Vahedi Noori, Bin…
Summary of Approximating Two-layer Relu Networks For Hidden State Analysis in Differential Privacy, by Antti Koskela
Approximating Two-Layer ReLU Networks for Hidden State Analysis in Differential Privacyby Antti KoskelaFirst submitted to…
Summary of Implicit Hypersurface Approximation Capacity in Deep Relu Networks, by Jonatan Vallin et al.
Implicit Hypersurface Approximation Capacity in Deep ReLU Networksby Jonatan Vallin, Karl Larsson, Mats G. LarsonFirst…
Summary of Equidistribution-based Training Of Free Knot Splines and Relu Neural Networks, by Simone Appella et al.
Equidistribution-based training of Free Knot Splines and ReLU Neural Networksby Simone Appella, Simon Arridge, Chris…
Summary of Neural Networks Trained by Weight Permutation Are Universal Approximators, By Yongqiang Cai et al.
Neural Networks Trained by Weight Permutation are Universal Approximatorsby Yongqiang Cai, Gaohang Chen, Zhonghua QiaoFirst…
Summary of Injectivity Of Relu-layers: Tools From Frame Theory, by Daniel Haider and Martin Ehler and Peter Balazs
Injectivity of ReLU-layers: Tools from Frame Theoryby Daniel Haider, Martin Ehler, Peter BalazsFirst submitted to…
Summary of Brownne: Brownian Nonlocal Neurons & Activation Functions, by Sriram Nagaraj and Truman Hickok
BrowNNe: Brownian Nonlocal Neurons & Activation Functionsby Sriram Nagaraj, Truman HickokFirst submitted to arxiv on:…
Summary of On the Growth Of the Parameters Of Approximating Relu Neural Networks, by Erion Morina and Martin Holler
On the growth of the parameters of approximating ReLU neural networksby Erion Morina, Martin HollerFirst…
Summary of Layermatch: Do Pseudo-labels Benefit All Layers?, by Chaoqi Liang et al.
LayerMatch: Do Pseudo-labels Benefit All Layers?by Chaoqi Liang, Guanglei Yang, Lifeng Qiao, Zitong Huang, Hongliang…