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Early Stopping without a Validation Set

Early Stopping without a Validation Set

28 March 2017
Maren Mahsereci
Lukas Balles
Christoph Lassner
Philipp Hennig
ArXivPDFHTML

Papers citing "Early Stopping without a Validation Set"

16 / 16 papers shown
Title
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Sudong Wang
Yujie Zhang
Yao Zhu
Jianing Li
Zizhe Wang
Yi Liu
Xiangyang Ji
175
0
0
31 Mar 2025
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
104
17
0
11 Feb 2025
Addressing caveats of neural persistence with deep graph persistence
Addressing caveats of neural persistence with deep graph persistence
Leander Girrbach
Anders Christensen
Ole Winther
Zeynep Akata
A. Sophia Koepke
GNN
28
1
0
20 Jul 2023
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic
  Phenomenon
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon
Yi-Xiao Luo
Bin Dong
26
0
0
25 May 2023
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
66
199
0
20 Oct 2022
Intersection of Parallels as an Early Stopping Criterion
Intersection of Parallels as an Early Stopping Criterion
Ali Vardasbi
Maarten de Rijke
Mostafa Dehghani
MoMe
41
5
0
19 Aug 2022
Improving Meta-Learning Generalization with Activation-Based
  Early-Stopping
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy
C. Pal
Gonçalo Mordido
Sarath Chandar
38
3
0
03 Aug 2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric
  Manipulation Policies
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
Satvik Sharma
Ellen R. Novoseller
Vainavi Viswanath
Zaynah Javed
R. Parikh
Ryan Hoque
Ashwin Balakrishna
Daniel S. Brown
Ken Goldberg
21
8
0
02 Jul 2022
VICE: Variational Interpretable Concept Embeddings
VICE: Variational Interpretable Concept Embeddings
Lukas Muttenthaler
C. Zheng
Patrick McClure
Robert A. Vandermeulen
M. Hebart
Francisco Câmara Pereira
24
17
0
02 May 2022
Isotonic Data Augmentation for Knowledge Distillation
Isotonic Data Augmentation for Knowledge Distillation
Wanyun Cui
Sen Yan
29
7
0
03 Jul 2021
Time-varying neural network for stock return prediction
Time-varying neural network for stock return prediction
Steven Y. K. Wong
J. Chan
Lamiae Azizi
R. Xu
AIFin
OOD
10
0
0
05 Mar 2020
On the Efficacy of Knowledge Distillation
On the Efficacy of Knowledge Distillation
Ligang He
Rui Mao
45
600
0
03 Oct 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
22
1,423
0
02 Aug 2019
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman
Guy Uziel
Ran El-Yaniv
UQCV
17
133
0
21 May 2018
Implementation of Deep Convolutional Neural Network in Multi-class
  Categorical Image Classification
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification
P. Murugan
30
18
0
03 Jan 2018
Regularization and Optimization strategies in Deep Convolutional Neural
  Network
Regularization and Optimization strategies in Deep Convolutional Neural Network
P. Murugan
S. Durairaj
29
47
0
13 Dec 2017
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