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2012.02775
Cited By
Representation Based Complexity Measures for Predicting Generalization in Deep Learning
4 December 2020
Parth Natekar
Manik Sharma
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Papers citing
"Representation Based Complexity Measures for Predicting Generalization in Deep Learning"
25 / 25 papers shown
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
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334
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Is network fragmentation a useful complexity measure?
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Randle Rabe
Daniël G. Haasbroek
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Hermanus L. Potgieter
Marelie Hattingh Davel
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0
07 Nov 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
Kimia Nadjahi
Kristjan Greenewald
Rickard Brüel-Gabrielsson
Justin Solomon
264
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0
06 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
G. Farnadi
Mohammad Havaei
Negar Rostamzadeh
383
4
0
03 Jun 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Jeonghwan Cheon
Sang Wan Lee
Se-Bum Paik
OOD
985
5
0
27 May 2024
Exploring Dataset-Scale Indicators of Data Quality
Ben Feuer
Chinmay Hegde
227
1
0
07 Nov 2023
Input margins can predict generalization too
AAAI Conference on Artificial Intelligence (AAAI), 2023
Coenraad Mouton
Marthinus W. Theunissen
Marelie Hattingh Davel
AAML
UQCV
AI4CE
257
5
0
29 Aug 2023
Fantastic DNN Classifiers and How to Identify them without Data
Nathaniel R. Dean
D. Sarkar
149
1
0
24 May 2023
The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs
Marthinus W. Theunissen
Coenraad Mouton
Marelie Hattingh Davel
175
1
0
14 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring
The Web Conference (WWW), 2023
Jiayan Guo
Lun Du
Wendong Bi
Qiang Fu
Xiaojun Ma
Xu Chen
Shi Han
Dongmei Zhang
Yan Zhang
265
41
0
13 Feb 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification
European Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
267
2
0
13 Dec 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Web Search and Data Mining (WSDM), 2022
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
GNN
194
26
0
15 Aug 2022
On the benefits of non-linear weight updates
Paul Norridge
169
0
0
25 Jul 2022
Predicting the generalization gap in neural networks using topological data analysis
Neurocomputing (Neurocomputing), 2022
Rubén Ballester
Xavier Arnal Clemente
Carles Casacuberta
Meysam Madadi
C. Corneanu
Sergio Escalera
290
11
0
23 Mar 2022
Weight Expansion: A New Perspective on Dropout and Generalization
Gao Jin
Xinping Yi
Pengfei Yang
Lijun Zhang
S. Schewe
Xiaowei Huang
313
6
0
23 Jan 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu
Lun Du
Haitao Mao
Xu Chen
Wei Fang
Shi Han
Dongmei Zhang
278
5
0
30 Nov 2021
On Predicting Generalization using GANs
International Conference on Learning Representations (ICLR), 2021
Yi Zhang
Arushi Gupta
Nikunj Saunshi
Sanjeev Arora
AI4CE
363
8
0
28 Nov 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
The Web Conference (WWW), 2021
Lun Du
Xiaozhou Shi
Qiang Fu
Xiaojun Ma
Hengyu Liu
Shi Han
Dongmei Zhang
560
149
0
29 Oct 2021
On the Effects of Artificial Data Modification
Antonia Marcu
Adam Prugel-Bennett
231
3
0
26 Oct 2021
In Search of Probeable Generalization Measures
International Conference on Machine Learning and Applications (ICMLA), 2021
Jonathan Jaegerman
Khalil Damouni
M. M. Ankaralı
Konstantinos N. Plataniotis
215
2
0
23 Oct 2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
IEEE International Conference on Computer Vision (ICCV), 2021
Kuniaki Saito
Donghyun Kim
Piotr Teterwak
Stan Sclaroff
Trevor Darrell
Kate Saenko
178
69
0
24 Aug 2021
Assessing Generalization of SGD via Disagreement
International Conference on Learning Representations (ICLR), 2021
Yiding Jiang
Vaishnavh Nagarajan
Christina Baek
J. Zico Kolter
456
132
0
25 Jun 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves
Neural Information Processing Systems (NeurIPS), 2021
Yair Schiff
Brian Quanz
Payel Das
Pin-Yu Chen
AAML
178
15
0
09 Jun 2021
Measuring Generalization with Optimal Transport
Neural Information Processing Systems (NeurIPS), 2021
Ching-Yao Chuang
Youssef Mroueh
Kristjan Greenewald
Antonio Torralba
Stefanie Jegelka
OT
223
30
0
07 Jun 2021
Gi and Pal Scores: Deep Neural Network Generalization Statistics
Yair Schiff
Brian Quanz
Payel Das
Pin-Yu Chen
381
3
0
08 Apr 2021
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