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k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis

7 December 2023
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
ArXivPDFHTML

Papers citing "k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis"

5 / 5 papers shown
Title
Linking Robustness and Generalization: A k* Distribution Analysis of
  Concept Clustering in Latent Space for Vision Models
Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models
Shashank Kotyan
Pin-Yu Chen
Danilo Vasconcellos Vargas
OOD
24
0
0
17 Aug 2024
On the Transformation of Latent Space in Fine-Tuned NLP Models
On the Transformation of Latent Space in Fine-Tuned NLP Models
Nadir Durrani
Hassan Sajjad
Fahim Dalvi
Firoj Alam
27
17
0
23 Oct 2022
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
Tao Huang
Songjiang Li
Xu Jia
Huchuan Lu
Jian-zhuo Liu
58
284
0
08 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1