Stabilizing Subject Transfer in EEG Classification with Divergence Estimation

12 October 2023

Niklas Smedemark-Margulies

Deniz Erdogmus

Papers citing "Stabilizing Subject Transfer in EEG Classification with Divergence Estimation"

20 / 20 papers shown

Title
Understanding and Improving the Role of Projection Head in Self-Supervised Learning Kartik Gupta Thalaiyasingam Ajanthan Anton Van Den Hengel Stephen Gould SSL 55 41 0 22 Dec 2022
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models Niklas Smedemark-Margulies Başak Çelik Tales Imbiriba Aziz Koçanaoğulları Deniz Erdogmus 22 4 0 29 Oct 2022
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data Niklas Smedemark-Margulies Ye Wang T. Koike-Akino Deniz Erdogmus OOD 46 5 0 17 Dec 2021
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 151 97 0 22 Jun 2020
Disentangled Adversarial Transfer Learning for Physiological Biosignals Mo Han Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus OOD AAML 41 6 0 15 Apr 2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016 Dongrui Wu Yifan Xu Baoliang Lu OOD 51 263 0 13 Apr 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 547 42,639 0 03 Dec 2019
Practical and Consistent Estimation of f-Divergences Paul Kishan Rubenstein Olivier Bousquet Josip Djolonga C. Riquelme Ilya O. Tolstikhin 44 45 0 27 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 111 814 0 16 May 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 144 118 0 28 Mar 2019
Adversarial Deep Learning in EEG Biometrics Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus 33 77 0 27 Mar 2019
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus OOD DRL 47 59 0 17 Dec 2018
Invariant Representations from Adversarially Censored Autoencoders Ye Wang T. Koike-Akino Deniz Erdogmus CML 48 21 0 21 May 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 164 4,445 0 16 Feb 2018
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 73 78 0 14 Nov 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 192 632 0 01 Jun 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 158 1,659 0 02 Jun 2016
Transfer Learning in Brain-Computer Interfaces V. Jayaram Morteza Alamgir Yasemin Altun Bernhard Schölkopf Moritz Grosse-Wentrup OOD 51 372 0 01 Dec 2015
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) Ross D. Shachter 80 243 0 30 Jan 2013
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 229 806 0 04 Sep 2008