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Cosine Normalization: Using Cosine Similarity Instead of Dot Product in
  Neural Networks

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

20 February 2017
Chunjie Luo
Jianfeng Zhan
Lei Wang
Qiang Yang
ArXivPDFHTML

Papers citing "Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks"

22 / 22 papers shown
Title
GIF: Generative Inspiration for Face Recognition at Scale
GIF: Generative Inspiration for Face Recognition at Scale
Saeed Ebrahimi
Sahar Rahimi
Ali Dabouei
Srinjoy Das
Jeremy M. Dawson
Nasser M. Nasrabadi
CVBM
122
0
0
05 May 2025
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Shunjie Wen
Thomas Heinis
Dong-Wan Choi
CLL
44
0
0
29 Apr 2025
Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric
Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric
F. Tessari
Neville Hogan
Neville Hogan
26
3
0
11 Jul 2024
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
28
153
0
05 Dec 2023
Exploring the Sharpened Cosine Similarity
Exploring the Sharpened Cosine Similarity
Skyler Wu
Fred Lu
Edward Raff
James Holt
11
2
0
25 Jul 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Mingxuan Liu
Subhankar Roy
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
SSL
32
10
0
28 Mar 2023
Continual Causal Inference with Incremental Observational Data
Continual Causal Inference with Incremental Observational Data
Zhixuan Chu
Ruopeng Li
S. Rathbun
Sheng R. Li
CML
37
14
0
03 Mar 2023
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
19
12
0
13 Nov 2022
B-cos Networks: Alignment is All We Need for Interpretability
B-cos Networks: Alignment is All We Need for Interpretability
Moritz D Boehle
Mario Fritz
Bernt Schiele
26
84
0
20 May 2022
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate
  Sentence Similarity
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
Manuela Nayantara Jeyaraj
D. Kasthurirathna
11
3
0
09 Nov 2021
R4: A Framework for Route Representation and Route Recommendation
R4: A Framework for Route Representation and Route Recommendation
Ran Cheng
Chao Chen
Longfei Xu
Shen Li
Lei Wang
Hengbin Cui
Kaikui Liu
Xiaolong Li
AI4TS
17
2
0
20 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation
  with Scarce Data
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
H. Cui
Dong Wei
Kai Ma
Shi Gu
Yefeng Zheng
12
39
0
18 Oct 2021
Essentials for Class Incremental Learning
Essentials for Class Incremental Learning
Sudhanshu Mittal
Silvio Galesso
Thomas Brox
CLL
12
96
0
18 Feb 2021
Query-Key Normalization for Transformers
Query-Key Normalization for Transformers
Alex Henry
Prudhvi Raj Dachapally
S. Pawar
Yuxuan Chen
12
75
0
08 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable
  Sleep Stage Identification from EEG Recordings
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings
Taeheon Lee
Jeonghwan Hwang
Honggu Lee
25
7
0
10 Sep 2020
Transformers without Tears: Improving the Normalization of
  Self-Attention
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen
Julian Salazar
36
224
0
14 Oct 2019
Hyperspherical Prototype Networks
Hyperspherical Prototype Networks
Pascal Mettes
Elise van der Pol
Cees G. M. Snoek
16
123
0
29 Jan 2019
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Xiao-Yun Zhou
Guang-Zhong Yang
11
77
0
11 Sep 2018
The exploding gradient problem demystified - definition, prevalence,
  impact, origin, tradeoffs, and solutions
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp
D. Song
J. Carbonell
ODL
19
46
0
15 Dec 2017
von Mises-Fisher Mixture Model-based Deep learning: Application to Face
  Verification
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Abul Hasnat
Julien Bohné
Jonathan Milgram
S. Gentric
Liming Luke Chen
CVBM
26
91
0
13 Jun 2017
Feature Incay for Representation Regularization
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
16
16
0
29 May 2017
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