i-RevNet: Deep Invertible Networks

20 February 2018

Papers citing "i-RevNet: Deep Invertible Networks"

50 / 208 papers shown

Title
LINN: Lifting Inspired Invertible Neural Network for Image Denoising Jun-Jie Huang P. Dragotti AI4CE 13 14 0 07 May 2021
A Critical Review of Information Bottleneck Theory and its Applications to Deep Learning Mohammad Ali Alomrani 13 2 0 07 May 2021
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation Lynton Ardizzone Jakob Kruse Carsten T. Lüth Niels Bracher Carsten Rother Ullrich Kothe 12 31 0 05 May 2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery Weibing Zhao Xu Yan Jiantao Gao Ruimao Zhang Jiayan Zhang Zhen Li Song Wu Shuguang Cui 3DPC 16 7 0 30 Apr 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 18 3 0 22 Apr 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu Zhenyue Qin Saeed Anwar Pan Ji Dongwoo Kim Sabrina Caldwell Tom Gedeon 72 143 0 21 Apr 2021
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 21 109 0 14 Apr 2021
LiftPool: Bidirectional ConvNet Pooling Jiaojiao Zhao Cees G. M. Snoek 8 19 0 02 Apr 2021
InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion Qili Zeng Shihang Feng B. Wohlberg Youzuo Lin 33 26 0 25 Mar 2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images Aadhithya Sankar Matthias Keicher R. Eisawy Abhijeet Parida Franz MJ Pfister Seong Tae Kim Nassir Navab OOD DRL MedIm 11 7 0 19 Mar 2021
The U-Net based GLOW for Optical-Flow-free Video Interframe Generation Saem Park D. Han Nojun Kwak 11 2 0 17 Mar 2021
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty Joost R. van Amersfoort Lewis Smith Andrew Jesson Oscar Key Y. Gal UQCV 16 102 0 22 Feb 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 24 50 0 20 Feb 2021
Momentum Residual Neural Networks Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 24 56 0 15 Feb 2021
Cyclic orthogonal convolutions for long-range integration of features Federica Freddi Jezabel R. Garcia Michael Bromberg Sepehr Jalali Da-shan Shiu Alvin Chua A. Bernacchia 13 0 0 11 Dec 2020
Large-Scale Generative Data-Free Distillation Liangchen Luo Mark Sandler Zi Lin A. Zhmoginov Andrew G. Howard 19 43 0 10 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 31 8 0 04 Dec 2020
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures Mustafa Hajij Ghada Zamzmi Matthew Dawson G. Muller 12 3 0 02 Dec 2020
Neural Group Actions Span Spanbauer Luke Sciarappa 11 1 0 08 Oct 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 18 43 0 27 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Bo-wen Li Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli S. Seshia Kurt Keutzer 34 264 0 01 Sep 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 12 29 0 12 Aug 2020
Generative Classifiers as a Basis for Trustworthy Image Classification Radek Mackowiak Lynton Ardizzone Ullrich Kothe Carsten Rother 11 4 0 29 Jul 2020
Video Super Resolution Based on Deep Learning: A Comprehensive Survey Hongying Liu Zhubo Ruan Peng Zhao Chao Dong Fanhua Shang Yuanyuan Liu Linlin Yang Radu Timofte SupR 31 168 0 25 Jul 2020
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget Guillaume Coiffier G. B. Hacene Vincent Gripon 19 2 0 20 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 11 66 0 15 Jul 2020
Black-box Adversarial Example Generation with Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 19 3 0 06 Jul 2020
Data-driven Regularization via Racecar Training for Generalizing Neural Networks You Xie Nils Thuerey 6 0 0 30 Jun 2020
Deep Involutive Generative Models for Neural MCMC Span Spanbauer Cameron E. Freer Vikash K. Mansinghka BDL 12 11 0 26 Jun 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning Luigi Gresele G. Fissore Adrián Javaloy Bernhard Schölkopf Aapo Hyvarinen DRL 13 22 0 26 Jun 2020
A Shooting Formulation of Deep Learning François-Xavier Vialard Roland Kwitt Susan Wei Marc Niethammer 11 13 0 18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 14 436 0 17 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 23 92 0 16 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 16 44 0 08 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 15 43 0 05 Jun 2020
Invertible Image Rescaling Mingqing Xiao Shuxin Zheng Chang-Shu Liu Yaolong Wang Di He Guolin Ke Jiang Bian Zhouchen Lin Tie-Yan Liu SupR 22 234 0 12 May 2020
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling Christian Etmann Rihuan Ke Carola-Bibiane Schönlieb SSeg 17 18 0 11 May 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 14 197 0 30 Apr 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 26 1,192 0 31 Mar 2020
On Information Plane Analyses of Neural Network Classifiers -- A Review Bernhard C. Geiger 24 50 0 21 Mar 2020
Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing B. Peters E. Haber Keegan Lensink AI4CE 21 4 0 16 Mar 2020
What Information Does a ResNet Compress? L. N. Darlow Amos Storkey SSL 26 11 0 13 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 10 119 0 07 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 14 55 0 04 Mar 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 14 63 0 22 Feb 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) Peter Sorrenson Carsten Rother Ullrich Kothe DRL CML 14 118 0 14 Jan 2020
Symmetric block-low-rank layers for fully reversible multilevel neural networks B. Peters E. Haber Keegan Lensink 6 6 0 14 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 18 56 0 11 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 31 1,624 0 05 Dec 2019
Invert to Learn to Invert P. Putzky Max Welling 11 75 0 25 Nov 2019