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AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in
  Image Classification

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification

21 April 2020
Hongjun Choi
Anirudh Som
Pavan Turaga
ArXivPDFHTML

Papers citing "AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification"

4 / 4 papers shown
Title
Teaching Metric Distance to Autoregressive Multimodal Foundational Models
Teaching Metric Distance to Autoregressive Multimodal Foundational Models
Jiwan Chung
Saejin Kim
Yongrae Jo
J. Park
Dongjun Min
Youngjae Yu
76
0
0
04 Mar 2025
Self-supervised learning of audio representations using angular
  contrastive loss
Self-supervised learning of audio representations using angular contrastive loss
Shanshan Wang
S. Tripathy
A. Mesaros
SSL
24
4
0
10 Nov 2022
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Joshua Peeples
Connor H. McCurley
Sarah Walker
Dylan Stewart
Alina Zare
24
3
0
11 Oct 2021
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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