i-RevNet: Deep Invertible Networks

20 February 2018

Papers citing "i-RevNet: Deep Invertible Networks"

50 / 208 papers shown

Title
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization Chen Zhao Shuming Liu K. Mangalam Guohao Li 38 17 0 25 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 30 18 0 22 Nov 2022
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 23 9 0 15 Nov 2022
Reliability of CKA as a Similarity Measure in Deep Learning Mohammad-Javad Davari Stefan Horoi A. Natik Guillaume Lajoie Guy Wolf Eugene Belilovsky AAML 91 36 0 28 Oct 2022
Learning to Immunize Images for Tamper Localization and Self-Recovery Qichao Ying Hang Zhou Zhenxing Qian Sheng Li Xinpeng Zhang AAML 34 12 0 28 Oct 2022
$LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness$ LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness Xiaojun Xu Linyi Li Bo-wen Li OOD AAML 41 33 0 20 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 39 92 0 20 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 32 27 0 09 Oct 2022
Safety Verification for Neural Networks Based on Set-boundary Analysis Zhen Liang Dejin Ren Wanwei Liu Ji Wang Wenjing Yang Bai Xue AAML 39 4 0 09 Oct 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Quanshi Zhang Xu Cheng Yilan Chen Zhefan Rao 19 33 0 18 Aug 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 24 4 0 19 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection Xincheng Yao Ruoqing Li Jing Zhang Jun Sun Chongyang Zhang 26 64 0 04 Jul 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 52 8 0 28 Jun 2022
Monitoring Shortcut Learning using Mutual Information Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai A. Galloway H. R. Tizhoosh Graham W. Taylor 25 6 0 27 Jun 2022
Marginal Tail-Adaptive Normalizing Flows M. Laszkiewicz Johannes Lederer Asja Fischer MedIm 28 8 0 21 Jun 2022
An Invertible Graph Diffusion Neural Network for Source Localization Junxiang Wang Junji Jiang Liang Zhao DiffM 26 37 0 18 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 35 25 0 29 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 32 14 0 25 Apr 2022
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation Yu Tang Chenyu Wang Yufan Zhang Yuliang Liu Xingcheng Zhang Linbo Qiao Zhiquan Lai Dongsheng Li 21 4 0 30 Mar 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
Improved Input Reprogramming for GAN Conditioning Tuan Dinh Daewon Seo Zhixu Du Liang Shang Kangwook Lee AI4CE 24 8 0 07 Jan 2022
A Compact Neural Network-based Algorithm for Robust Image Watermarking Hongcai Xu Rong Wang Jia Wei Shao-Ping Lu 27 13 0 27 Dec 2021
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift Kehang Han Balaji Lakshminarayanan J. Liu OOD GNN 19 33 0 25 Nov 2021
PIE: Pseudo-Invertible Encoder J. Beitler Ivan Sosnovik A. Smeulders 11 10 0 31 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 33 70 0 25 Oct 2021
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows Michael Puthawala Matti Lassas Ivan Dokmanić Maarten V. de Hoop 15 13 0 08 Oct 2021
Spread Flows for Manifold Modelling Mingtian Zhang Yitong Sun Chen Zhang Jingyu Sun AI4CE 29 2 0 29 Sep 2021
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks Bo Wang J. Hsieh Ming-Ching Chang Ping-Yang Chen Lipeng Ke Siwei Lyu FAtt 27 8 0 13 Sep 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 36 5 0 12 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 32 8 0 13 Jul 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer DiffM VGen 19 41 0 06 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 25 59 0 01 Jul 2021
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework Jiahao Su Wonmin Byeon Furong Huang 22 9 0 16 Jun 2021
Input Invex Neural Network Suman Sapkota Binod Bhattarai 17 4 0 16 Jun 2021
Low-memory stochastic backpropagation with multi-channel randomized trace estimation M. Louboutin Ali Siahkoohi Rongrong Wang Felix J. Herrmann 21 0 0 13 Jun 2021
Coded-InvNet for Resilient Prediction Serving Systems Tuan Dinh Kangwook Lee 16 3 0 11 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 19 59 0 08 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 30 302 0 08 Jun 2021
Large-Scale Wasserstein Gradient Flows Petr Mokrov Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Evgeny Burnaev 30 72 0 01 Jun 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 30 17 0 31 May 2021
Skew Orthogonal Convolutions Sahil Singla S. Feizi 29 66 0 24 May 2021
Variational Gaussian Topic Model with Invertible Neural Projections Rui Wang Deyu Zhou Yuxuan Xiong Haiping Huang BDL 27 3 0 21 May 2021
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu Eric P. Xing 18 7 0 20 May 2021
PassFlow: Guessing Passwords with Generative Flows Giulio Pagnotta Dorjan Hitaj Fabio De Gaspari L. Mancini 18 13 0 13 May 2021
Stochastic Image-to-Video Synthesis using cINNs Michael Dorkenwald Timo Milbich A. Blattmann Robin Rombach Konstantinos G. Derpanis Bjorn Ommer DiffM VGen 21 54 0 10 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 15 5 0 08 May 2021