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Nesterov's Accelerated Gradient and Momentum as approximations to
  Regularised Update Descent

Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent

7 July 2016
Aleksandar Botev
Guy Lever
David Barber
    ODL
ArXivPDFHTML

Papers citing "Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent"

11 / 11 papers shown
Title
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
Ming-Hui Liu
Xiao-Qian Liu
Xin Luo
Xin-Shun Xu
61
0
0
07 May 2025
Clothes-Changing Person Re-identification Based On Skeleton Dynamics
Asaf Joseph
Shmuel Peleg
53
1
0
13 Mar 2025
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
Hu Wang
Yuanhong Chen
Congbo Ma
Yuan Zhang
Jodie Avery
Gustavo Carneiro
Gustavo Carneiro
25
28
0
02 Oct 2023
Multi-modal Learning with Missing Modality via Shared-Specific Feature
  Modelling
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
Hu Wang
Yuanhong Chen
Congbo Ma
Jodie Avery
Louise Hull
G. Carneiro
30
80
0
26 Jul 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is
  Offset by the Correlation between Activations
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations
Inyoung Paik
Jaesik Choi
26
0
0
23 Apr 2023
A fast Multiplicative Updates algorithm for Non-negative Matrix
  Factorization
A fast Multiplicative Updates algorithm for Non-negative Matrix Factorization
M. Pham
Jérémy E. Cohen
T. Chonavel
18
2
0
31 Mar 2023
Efficient shallow learning as an alternative to deep learning
Efficient shallow learning as an alternative to deep learning
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ronit D. Gross
Ido Kanter
35
17
0
15 Nov 2022
Learning from Future: A Novel Self-Training Framework for Semantic
  Segmentation
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
47
29
0
15 Sep 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
39
37
0
22 Feb 2022
Improving Adversarial Robustness for Free with Snapshot Ensemble
Improving Adversarial Robustness for Free with Snapshot Ensemble
Yihao Wang
AAML
UQCV
17
1
0
07 Oct 2021
Deep Curiosity Loops in Social Environments
Deep Curiosity Loops in Social Environments
Jonatan Barkan
Goren Gordon
8
2
0
10 Jun 2018
1