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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
ArXiv (abs)PDFHTMLGithub (14★)

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

14 / 14 papers shown
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
Amin Jalali
Milad Soltany
Michael A. Greenspan
Ali Etemad
AI4TS
143
0
0
02 Oct 2025
Graph Your Own Prompt
Graph Your Own Prompt
Xi Ding
Lei Wang
Piotr Koniusz
Yongsheng Gao
261
2
0
27 Sep 2025
Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant
Adaptive Sparse Softmax: An Effective and Efficient Softmax VariantIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025
Qi Lv
Lei Geng
Ziqiang Cao
Min Cao
Sujian Li
Wenjie Li
Guohong Fu
191
3
0
05 Aug 2025
Teaching Metric Distance to Discrete Autoregressive Language Models
Teaching Metric Distance to Discrete Autoregressive Language Models
Jiwan Chung
Saejin Kim
Yongrae Jo
Jinho Park
Dongjun Min
Youngjae Yu
678
0
0
04 Mar 2025
Language-driven Grasp Detection
Language-driven Grasp Detection
An Dinh Vuong
Minh Nhat Vu
Baoru Huang
Nghia Nguyen
Hieu Le
T. Vo
Anh Nguyen
VLM
454
37
0
13 Jun 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced
  Contrastive Learning for Data and Model Heterogeneity in Federated Learning
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
Jianqing Zhang
Yang Liu
Yang Hua
Jian Cao
FedML
450
134
0
06 Jan 2024
Pairwise Similarity Learning is SimPLE
Pairwise Similarity Learning is SimPLE
Yandong Wen
Weiyang Liu
Yao Feng
Bhiksha Raj
Rita Singh
Adrian Weller
Michael J. Black
Bernhard Schölkopf
333
9
0
13 Oct 2023
Leveraging Angular Distributions for Improved Knowledge Distillation
Leveraging Angular Distributions for Improved Knowledge Distillation
Eunyeong Jeon
Hongjun Choi
Ankita Shukla
Pavan Turaga
238
8
0
27 Feb 2023
Self-supervised learning of audio representations using angular
  contrastive loss
Self-supervised learning of audio representations using angular contrastive lossIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Shanshan Wang
S. Tripathy
A. Mesaros
SSL
366
5
0
10 Nov 2022
Regression Metric Loss: Learning a Semantic Representation Space for
  Medical Images
Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Hanqing Chao
Jiajin Zhang
Pingkun Yan
235
2
0
12 Jul 2022
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Learnable Adaptive Cosine Estimator (LACE) for Image ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Joshua Peeples
Connor H. McCurley
Sarah Walker
Dylan Stewart
Alina Zare
329
3
0
11 Oct 2021
Label Geometry Aware Discriminator for Conditional Generative Networks
Label Geometry Aware Discriminator for Conditional Generative Networks
Suman Sapkota
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Tae-Kyun Kim
GAN
314
0
0
12 May 2021
Divergence Regulated Encoder Network for Joint Dimensionality Reduction
  and Classification
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationIEEE Geoscience and Remote Sensing Letters (GRSL), 2020
Joshua Peeples
Sarah Walker
Connor H. McCurley
A. Zare
James M. Keller
Weihuang Xu
509
2
0
31 Dec 2020
Role of Orthogonality Constraints in Improving Properties of Deep
  Networks for Image Classification
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Hongjun Choi
Anirudh Som
Pavan Turaga
208
10
0
22 Sep 2020
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