Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

7 September 2022

Papers citing "Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes"

50 / 52 papers shown

Title
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity Ran Liu Mehdi Azabou M. Dabagia Chi-Heng Lin M. G. Azar Keith B. Hengen Michal Valko Eva L. Dyer OCL SSL DRL 39 37 0 03 Nov 2021
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qinjie Lyu Xiao Fu Weiran Wang Songtao Lu SSL 60 31 0 14 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 99 317 0 08 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease A. Fedorov Tristan Sylvain Eloy P. T. Geenjaar Margaux Luck Lei Wu T. DeRamus Alex Kirilin Dmitry Bleklov Vince D. Calhoun Sergey Plis SSL 54 13 0 25 Dec 2020
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen M. Raghu Simon Kornblith OOD 62 282 0 29 Oct 2020
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations Tristan Sylvain Linda Petrini R. Devon Hjelm VLM 37 7 0 22 Oct 2020
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations Usman Mahmood Md. Mahfuzur Rahman A. Fedorov N. Lewis Z. Fu Vince D. Calhoun Sergey Plis 49 22 0 29 Jul 2020
Self-Supervised MultiModal Versatile Networks Jean-Baptiste Alayrac Adrià Recasens R. Schneider Relja Arandjelović Jason Ramapuram J. Fauw Lucas Smaira Sander Dieleman Andrew Zisserman SSL 139 375 0 29 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 253 4,097 0 17 Jun 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 101 214 0 06 Jun 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 214 2,059 0 16 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 494 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 55 56 0 20 Dec 2019
End-to-End Learning of Visual Representations from Uncurated Instructional Videos Antoine Miech Jean-Baptiste Alayrac Lucas Smaira Ivan Laptev Josef Sivic Andrew Zisserman VGen SSL 128 713 0 13 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 108 1,458 0 04 Dec 2019
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 535 42,591 0 03 Dec 2019
Transfer Learning of fMRI Dynamics Usman Mahmood Md. Mahfuzur Rahman A. Fedorov Z. Fu Sergey Plis 32 9 0 16 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 210 12,121 0 13 Nov 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline Leonie Henschel Sailesh Conjeti Santiago Estrada K. Diers Bruce Fischl M. Reuter MedIm 102 404 0 09 Oct 2019
On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han ODL 289 1,907 0 08 Aug 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 179 501 0 31 Jul 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 666 5,835 0 25 Jul 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath Basel Alomair OOD SSL 56 948 0 28 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 66 255 0 19 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 174 2,409 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 195 1,477 0 03 Jun 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 117 144 0 28 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 138 1,432 0 22 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 143 1,431 0 01 May 2019
Prediction of Progression to Alzheimer's disease with Deep InfoMax A. Fedorov R. Devon Hjelm A. Abrol Z. Fu Yuhui Du Sergey Plis Vince D. Calhoun MedIm 24 23 0 24 Apr 2019
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 335 2,672 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,356 0 10 Jul 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 65 447 0 14 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 263 3,298 0 21 Mar 2018
Almost instant brain atlas segmentation for large-scale studies A. Fedorov Eswar Damaraju Vince D. Calhoun Sergey Plis 47 13 0 01 Nov 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 128 1,825 0 16 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 111 2,937 0 26 May 2017
In Defense of the Triplet Loss for Person Re-Identification Alexander Hermans Lucas Beyer Bastian Leibe DML 105 3,210 0 22 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,018 0 04 Mar 2017
DeMIAN: Deep Modality Invariant Adversarial Network Kuniaki Saito Yusuke Mukuta Yoshitaka Ushiku Tatsuya Harada VLM GAN 31 6 0 23 Dec 2016
End-to-end learning of brain tissue segmentation from imperfect labeling A. Fedorov Jeremy Johnson Eswar Damaraju Alexei Ozerin Vince D. Calhoun Sergey Plis MedIm 47 48 0 03 Dec 2016
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 175 957 0 05 Oct 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 149 3,532 0 28 Mar 2016
On Deep Multi-View Representation Learning: Objectives and Optimization Weiran Wang R. Arora Karen Livescu J. Bilmes SSL DRL 90 915 0 02 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 169 2,789 0 19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 135 1,828 0 01 Jul 2014