Computing the Testing Error without a Testing Set

1 May 2020

Papers citing "Computing the Testing Error without a Testing Set"

23 / 23 papers shown

Title
Supervised Models Can Generalize Also When Trained on Random Labels Oskar Allerbo Thomas B. Schön OOD SSL 119 0 0 16 May 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 279 20 0 11 Feb 2025
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 150 1 0 17 Jan 2024
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology Naofumi Hama 89 0 0 15 Oct 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 59 0 0 18 Sep 2023
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 65 6 0 06 Jun 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 81 4 0 26 Apr 2023
Importance attribution in neural networks by means of persistence landscapes of time series Aina Ferrà Carles Casacuberta O. Pujol AI4TS 72 4 0 06 Feb 2023
Approaching Peak Ground Truth Florian Kofler J. Wahle Ivan Ezhov S. J. Wagner Rami Al-Maskari ... Jan Kirschke C. Zimmer Benedikt Wiestler Bjoern Menze Marie Piraud 72 9 0 31 Dec 2022
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier Harshita Boonlia T. Dam Md Meftahul Ferdaus S. Anavatti Ankan Mullick OODD 66 4 0 07 Sep 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 91 19 0 14 Jul 2022
Exploiting Explainable Metrics for Augmented SGD Mahdi S. Hosseini Mathieu Tuli Konstantinos N. Plataniotis AAML 68 3 0 31 Mar 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 221 54 0 23 Feb 2022
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks Tolga Birdal Aaron Lou Leonidas Guibas Umut cSimcsekli 81 65 0 25 Nov 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schurholt Dimche Kostadinov Damian Borth SSL 115 15 0 28 Oct 2021
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 68 2 0 23 Oct 2021
Artificial Text Detection via Examining the Topology of Attention Maps Laida Kushnareva D. Cherniavskii Vladislav Mikhailov Ekaterina Artemova S. Barannikov A. Bernstein Irina Piontkovskaya D. Piontkovski Evgeny Burnaev 102 51 0 10 Sep 2021
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples Xuanyu Wu Xuhong Li Haoyi Xiong Xiao Zhang Siyu Huang Dejing Dou 30 1 0 20 Jun 2021
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 87 42 0 11 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? Weijian Deng Stephen Gould Liang Zheng 103 64 0 10 Jun 2021
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set Asier Gutiérrez-Fandiño David Pérez-Fernández Jordi Armengol-Estapé Marta Villegas 59 2 0 31 May 2021
Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology David Pérez-Fernández Asier Gutiérrez-Fandiño Jordi Armengol-Estapé Marta Villegas 59 6 0 19 Jan 2021
Are Labels Always Necessary for Classifier Accuracy Evaluation? Weijian Deng Liang Zheng 74 118 0 06 Jul 2020