Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

19 July 2018

Papers citing "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

37 / 37 papers shown

Title
A3D: Does Diffusion Dream about 3D Alignment? Savva Ignatyev Nina Konovalova Daniil Selikhanovych Nikolay Patakin Nikolay Patakin ... Anton Konushin Peter Wonka Alexander Filippov Peter Wonka Evgeny Burnaev DiffM 68 0 0 21 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 52 3 0 29 May 2024
RoNet: Rotation-oriented Continuous Image Translation Yi Li Xinxiong Xie Lina Lei Haiyan Fu Yanqing Guo 3DH 44 0 0 06 Apr 2024
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 20 4 0 09 Nov 2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? Qingyi Wang Shenhao Wang Yunhan Zheng Hongzhou Lin Xiaohu Zhang Jinhua Zhao Joan Walker 13 9 0 07 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration Ziyi He Albert C. S. Chung 24 1 0 10 Nov 2022
Synthesizer Preset Interpolation using Transformer Auto-Encoders G. Vaillant Thierry Dutoit 19 3 0 27 Oct 2022
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 50 3 0 11 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 43 100 0 09 Oct 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 34 2 0 29 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 32 7 0 27 Sep 2022
Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech Yusuke Nakai Yuki Saito K. Udagawa Hiroshi Saruwatari AAML 25 1 0 26 Sep 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning Xihong Yang Xiaochang Hu Sihang Zhou Xinwang Liu En Zhu SSL 184 43 0 24 Feb 2022
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI Jörg Sander B. D. de Vos Ivana Ivsgum DiffM MedIm 11 15 0 18 Feb 2022
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition Mark Boss Varun Jampani Raphael Braun Ce Liu Jonathan T. Barron Hendrik P. A. Lensch 31 207 0 27 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 47 0 27 Oct 2021
Is Disentanglement enough? On Latent Representations for Controllable Music Generation Ashis Pati Alexander Lerch CoGe DRL 25 16 0 01 Aug 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation Yuxin Yang Xitong Zhang Qiang Guan Youzuo Lin 32 15 0 22 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 26 25 0 09 Jun 2021
Synthesising Multi-Modal Minority Samples for Tabular Data Sajad Darabi Yotam Elor 21 10 0 17 May 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 33 61 0 29 Mar 2021
Fair Mixup: Fairness via Interpolation Ching-Yao Chuang Youssef Mroueh 21 138 0 11 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 21 13 0 03 Mar 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 16 9 0 25 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Generative Model without Prior Distribution Matching Cong Geng Jia Wang L. Chen Zhiyong Gao GAN 147 1 0 23 Sep 2020
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control Simón C. Smith S. Ramamoorthy 26 13 0 18 Sep 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 17 7 0 15 Jun 2020
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 18 9 0 15 Feb 2020
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini OOD 24 53 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 756 0 09 Mar 2019
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 31 229 0 04 Oct 2018