ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.04540
  4. Cited By
Fix your classifier: the marginal value of training the last weight
  layer

Fix your classifier: the marginal value of training the last weight layer

14 January 2018
Elad Hoffer
Itay Hubara
Daniel Soudry
ArXivPDFHTML

Papers citing "Fix your classifier: the marginal value of training the last weight layer"

15 / 15 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
138
0
0
05 May 2025
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual
  and Transfer Learning
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati
Neil Traft
Jeff Clune
Nick Cheney
CLL
19
0
0
12 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Xiangtai Li
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Bernard Ghanem
CLL
31
8
0
03 Aug 2023
Factorizers for Distributed Sparse Block Codes
Factorizers for Distributed Sparse Block Codes
Michael Hersche
Aleksandar Terzić
G. Karunaratne
Jovin Langenegger
Angeline Pouget
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
37
4
0
24 Mar 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing
  Mistake Severity
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity
Tong Liang
Jim Davis
30
10
0
10 Mar 2023
Maximally Compact and Separated Features with Regular Polytope Networks
Maximally Compact and Separated Features with Regular Polytope Networks
F. Pernici
Matteo Bruni
C. Baecchi
A. Bimbo
12
19
0
15 Jan 2023
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
A. Sebastian
Abbas Rahimi
CLL
24
141
0
30 Mar 2022
LogAvgExp Provides a Principled and Performant Global Pooling Operator
LogAvgExp Provides a Principled and Performant Global Pooling Operator
S. Lowe
Thomas Trappenberg
Sageev Oore
FAtt
19
2
0
02 Nov 2021
No One Representation to Rule Them All: Overlapping Features of Training
  Methods
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes
Yann N. Dauphin
E. D. Cubuk
18
60
0
20 Oct 2021
On the Validity of Modeling SGD with Stochastic Differential Equations
  (SDEs)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
Zhiyuan Li
Sadhika Malladi
Sanjeev Arora
33
78
0
24 Feb 2021
A Constructive Prediction of the Generalization Error Across Scales
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld
Amir Rosenfeld
Yonatan Belinkov
Nir Shavit
11
205
0
27 Sep 2019
Hyperspherical Prototype Networks
Hyperspherical Prototype Networks
Pascal Mettes
Elise van der Pol
Cees G. M. Snoek
16
123
0
29 Jan 2019
Efficient Convolutional Neural Network Training with Direct Feedback
  Alignment
Efficient Convolutional Neural Network Training with Direct Feedback Alignment
Donghyeon Han
H. Yoo
3DV
11
17
0
06 Jan 2019
Gradient Descent Finds Global Minima of Deep Neural Networks
Gradient Descent Finds Global Minima of Deep Neural Networks
S. Du
J. Lee
Haochuan Li
Liwei Wang
M. Tomizuka
ODL
15
1,120
0
09 Nov 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
24
51
0
02 Feb 2018
1