Representation Based Complexity Measures for Predicting Generalization in Deep Learning

4 December 2020

Papers citing "Representation Based Complexity Measures for Predicting Generalization in Deep Learning"

25 / 25 papers shown

Title
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo Zhihe Lu Runpeng Yu Xiaofeng Zhu Xinchao Wang 150 5 0 01 Dec 2024
Is network fragmentation a useful complexity measure? Coenraad Mouton Randle Rabe Daniël G. Haasbroek Marthinus W. Theunissen Hermanus L. Potgieter Marelie Hattingh Davel 417 0 0 07 Nov 2024
Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi Kristjan Greenewald Rickard Brüel-Gabrielsson Justin Solomon 99 4 0 06 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 82 3 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 420 3 0 27 May 2024
Exploring Dataset-Scale Indicators of Data Quality Ben Feuer Chinmay Hegde 79 1 0 07 Nov 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 70 4 0 29 Aug 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 58 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 49 1 0 14 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring Jiayan Guo Lun Du Wendong Bi Qiang Fu Xiaojun Ma Xu Chen Shi Han Dongmei Zhang Yan Zhang 64 27 0 13 Feb 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 87 2 0 13 Dec 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 43 19 0 15 Aug 2022
On the benefits of non-linear weight updates Paul Norridge 48 0 0 25 Jul 2022
Predicting the generalization gap in neural networks using topological data analysis Rubén Ballester Xavier Arnal Clemente Carles Casacuberta Meysam Madadi C. Corneanu Sergio Escalera 81 4 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 85 5 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 40 5 0 30 Nov 2021
On Predicting Generalization using GANs Yi Zhang Arushi Gupta Nikunj Saunshi Sanjeev Arora AI4CE 169 6 0 28 Nov 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang 127 114 0 29 Oct 2021
On the Effects of Artificial Data Modification Antonia Marcu Adam Prugel-Bennett 45 3 0 26 Oct 2021
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 61 2 0 23 Oct 2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density Kuniaki Saito Donghyun Kim Piotr Teterwak Stan Sclaroff Trevor Darrell Kate Saenko 88 57 0 24 Aug 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 109 115 0 25 Jun 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves Yair Schiff Brian Quanz Payel Das Pin-Yu Chen AAML 42 14 0 09 Jun 2021
Measuring Generalization with Optimal Transport Ching-Yao Chuang Youssef Mroueh Kristjan Greenewald Antonio Torralba Stefanie Jegelka OT 90 27 0 07 Jun 2021
Gi and Pal Scores: Deep Neural Network Generalization Statistics Yair Schiff Brian Quanz Payel Das Pin-Yu Chen 16 3 0 08 Apr 2021