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Feature Alignment as a Generative Process

23 June 2021

Papers citing "Feature Alignment as a Generative Process"

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Title
BackLink: Supervised Local Training with Backward Links Wenzhe Guo M. Fouda A. Eltawil K. Salama 45 2 0 14 May 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 502 15,788 0 20 Dec 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo Soheil Feizi FAtt 97 83 0 29 Nov 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 51 24 0 05 Mar 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 108 36 0 02 Feb 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training Yulin Wang Zanlin Ni Shiji Song Le Yang Gao Huang 65 85 0 26 Jan 2021
Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient Fengli Gao Huicai Zhong ODL 30 10 0 16 Dec 2020
Parallel Training of Deep Networks with Local Updates Michael Laskin Luke Metz Seth Nabarrao Mark Saroufim Badreddine Noune Carlo Luschi Jascha Narain Sohl-Dickstein Pieter Abbeel FedML 117 27 0 07 Dec 2020
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley ODL 70 16 0 11 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 739 18,364 0 19 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 66 33 0 16 Jun 2020
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map Andrei Velichko 58 44 0 04 Jun 2020
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments Pegah Salehi A. Chalechale M. Taghizadeh EGVM 39 40 0 27 May 2020
Preventing Posterior Collapse with Levenshtein Variational Autoencoder Serhii Havrylov Ivan Titov DRL 28 19 0 30 Apr 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 99 840 0 20 Jan 2020
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks Wei Hu Lechao Xiao Jeffrey Pennington 74 115 0 16 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 81 314 0 08 Jan 2020
A Closer Look at Disentangling in $β$ -VAE Harshvardhan Digvijay Sikka Weishun Zhong J. Yin Cengiz Pehlevan CML CoGe BDL DRL 50 15 0 11 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 88 180 0 06 Nov 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 76 47 0 29 Oct 2019
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 121 1,123 0 25 Jul 2019
A Survey on Neural Network Language Models Kun Jing Jungang Xu 43 56 0 09 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 99 2,364 0 06 Jun 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 63 102 0 24 Apr 2019
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 159 624 0 02 Nov 2018
Gradient target propagation T. S. Farias Jonas Maziero 28 3 0 19 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 156 881 0 02 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 65 186 0 01 Oct 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 83 494 0 14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,144 0 09 Jul 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 69 168 0 26 Jun 2018
Training Generative Reversible Networks R. Schirrmeister Patryk Chrabkaszcz Frank Hutter T. Ball BDL GAN 34 8 0 05 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 112 1,863 0 31 May 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 71 832 0 10 Apr 2018
Conducting Credit Assignment by Aligning Local Representations Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles ODL 83 29 0 05 Mar 2018
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 141 852 0 13 Aug 2017
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez Mengye Ren R. Urtasun Roger C. Grosse 79 551 0 14 Jul 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 179 4,829 0 26 Jan 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 340 4,579 0 13 Nov 2016
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 335 20,110 0 07 Oct 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 101 1,749 0 19 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 142 0 31 May 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 96 5 0 30 May 2016
Training Deep Nets with Sublinear Memory Cost Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin 106 1,174 0 21 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 262 10,267 0 27 Mar 2016
A New Method to Visualize Deep Neural Networks L. Zintgraf Taco S. Cohen Max Welling FAtt 46 47 0 08 Mar 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 97 330 0 11 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks Alexey Dosovitskiy Thomas Brox DRL GAN 118 1,142 0 08 Feb 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 183 2,075 0 31 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015