Overfitting Mechanism and Avoidance in Deep Neural Networks

19 January 2019

Papers citing "Overfitting Mechanism and Avoidance in Deep Neural Networks"

11 / 11 papers shown

Title
Experimental Study on Automatically Assembling Custom Catering Packages With a 3-DOF Delta Robot Using Deep Learning Methods Reihaneh Yourdkhani Arash Tavoosian Navid Asadi Khomami Mehdi Tale Masouleh 7 1 0 17 May 2025
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect D. Peng Zhipeng Gui Huayi Wu 42 6 0 31 Dec 2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models Zhaocheng Liu Zhongxiang Fan Jian Liang Dongying Kong Han Li 14 1 0 31 May 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Chenyu You Luo Si Lidong Bing 27 2 0 16 Nov 2022
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space Jia Li Xiang Li X. Jia M. Steinbach Vipin Kumar CML OOD AI4CE 26 0 0 15 Nov 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models Zhaorui Zhang Xiang-Rong Sheng Yujing Zhang Biye Jiang Shuguang Han Hongbo Deng Bo Zheng CML 46 36 0 04 Sep 2022
TreeSketchNet: From Sketch To 3D Tree Parameters Generation Gilda Manfredi N. Capece U. Erra M. Gruosso 28 11 0 25 Jul 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 25 0 0 03 Jun 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis Gayathri R.G. Atul Sajjanhar Yong Xiang AAML 18 8 0 06 Mar 2022
What can we learn from misclassified ImageNet images? Shixian Wen A. Rios Kiran Lekkala Laurent Itti 30 7 0 20 Jan 2022
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,186 0 30 Nov 2014