Y-Drop: A Conductance based Dropout for fully connected layers

11 September 2024

Papers citing "Y-Drop: A Conductance based Dropout for fully connected layers"

18 / 18 papers shown

Title
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 133 843 0 16 Sep 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi Dinghuai Zhang Qi Dai Zhanxing Zhu Yadong Mu Jingdong Wang OOD 58 112 0 10 Aug 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 511 42,449 0 03 Dec 2019
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 112 914 0 30 Oct 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 64 333 0 19 Mar 2018
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 114 3,765 0 15 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 177 5,603 0 21 Jul 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 592 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 201 3,873 0 10 Apr 2017
Curriculum Dropout Pietro Morerio Jacopo Cavazza Riccardo Volpi René Vidal Vittorio Murino ODL 120 104 0 18 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 305 20,023 0 07 Oct 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David M. Krueger Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Aaron Courville C. Pal 71 317 0 03 Jun 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,514 0 08 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Dropout improves Recurrent Neural Networks for Handwriting Recognition Vu Pham Théodore Bluche Christopher Kermorvant J. Louradour 111 567 0 05 Nov 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012