NYU Explores the Principles for Modelling Neural Collapse and Its Role in Generalization | by Synced | SyncedReview | Medium
Prevalence of neural collapse during the terminal phase of deep learning training
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning – arXiv Vanity
Illustration of a simplex ETF (a) and a HAFrame (b) of four leaf... | Download Scientific Diagram
NYU Explores the Principles for Modelling Neural Collapse and Its Role in Generalization | by Synced | SyncedReview | Medium
arxiv-sanity
On the Existence of Equiangular Tight Frames - Paper | N 1 | Papers Health sciences | Docsity
arXiv:1607.04528v2 [math-ph] 7 Feb 2017
Recent developments in equiangular tight frames – Short, Fat Matrices
Recent developments in equiangular tight frames – Short, Fat Matrices
Understanding Imbalanced Semantic Segmentation Through Neural Collapse | DeepAI
Illustration of a simplex ETF (a) and a HAFrame (b) of four leaf... | Download Scientific Diagram
An Introduction to Finite Tight Frames von Shayne F. D. Waldron - Fachbuch - bücher.de
Tight frames | SpringerLink
Neural Collapse Inspired Federated Learning with Non-iid Data: Paper and Code - CatalyzeX
Matt Fickus, Mutually Unbiased Equiangular Tight Frames, 2020.07.28 - YouTube
Early Exit with Disentangled Representation and Equiangular Tight Frame - ACL Anthology
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity | Papers With Code
2022-3-20: Memorizing transformers, {knn, non-trainable} softmax, reducing flipping errors
![PDF] Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/79eff96fd96b688ff5368f7edb506598bc53d354/2-Figure1-1.png "PDF] Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path | Semantic Scholar")
PDF] Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path | Semantic Scholar
Emily J. King, The Combinatorics of Equiangular Tight Frame Substructures, 2022.05.31 - YouTube
Fingerprinting with Equiangular Tight Frames
2022-3-20: Memorizing transformers, {knn, non-trainable} softmax, reducing flipping errors
Prevalence of neural collapse during the terminal phase of deep learning training
![PDF] Neural Collapse with Cross-Entropy Loss | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/d9f2e0da80a42f7ef8a8cbd4255f40b0e6f14946/3-Figure1-1.png "PDF] Neural Collapse with Cross-Entropy Loss | Semantic Scholar")
PDF] Neural Collapse with Cross-Entropy Loss | Semantic Scholar
![PDF] Real eigenstructure of regular simplex tensors | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/61b5d0c24f50ec49c001530d71ff34bfc8c813ca/29-Figure4-1.png "PDF] Real eigenstructure of regular simplex tensors | Semantic Scholar")