Preventing Posterior Collapse with delta-VAEs

10 January 2019

Ali Razavi

Papers citing "Preventing Posterior Collapse with delta-VAEs"

38 / 38 papers shown

Title
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse Zhongliang Guo Lei Fang Jingyu Lin Yifei Qian Shuai Zhao Zeyu Wang Zeyu Wang Cunjian Chen Ognjen Arandjelović Chun Pong Lau DiffM AAML 40 6 0 20 Aug 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection Phai Vu Dinh Nguyen Quang Uy D. Hoang Diep N. Nguyen Son Pham Bao E. Dutkiewicz AAML 68 1 0 22 Mar 2024
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Xiaozhong Liu 78 31 0 27 Aug 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 23 1 0 20 Feb 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 33 3 0 07 Feb 2023
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 23 5 0 26 Sep 2022
Dataset Condensation with Latent Space Knowledge Factorization and Sharing Haebeom Lee Dong Bok Lee Sung Ju Hwang DD 21 37 0 21 Aug 2022
Improving Small Molecule Generation using Mutual Information Machine Daniel A. Reidenbach M. Livne Rajesh Ilango M. Gill Johnny Israeli 28 14 0 18 Aug 2022
InitialGAN: A Language GAN with Completely Random Initialization Da Ren Qing Li GAN 27 2 0 04 Aug 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 12 0 14 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 21 21 0 13 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 34 3 0 28 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 51 0 27 May 2022
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings M. Alzantot L. Garcia Mani B. Srivastava 27 1 0 25 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 24 28 0 25 Mar 2022
FLAG: Flow-based 3D Avatar Generation from Sparse Observations S. Aliakbarian Pashmina Cameron Federica Bogo Andrew Fitzgibbon T. Cashman 3DH 20 55 0 11 Mar 2022
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias Frederic Koehler Viraj Mehta Chenghui Zhou Andrej Risteski DRL 28 12 0 13 Dec 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 27 36 0 20 Oct 2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction Xiaogang Xu Yi Wang Liwei Wang Bei Yu Jiaya Jia VGen 31 5 0 12 Aug 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan Dongsheng Wang Bo Chen Chaojie Wang Wenchao Chen Yewen Li J. Ren Mingyuan Zhou BDL 34 38 0 30 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 658 0 10 Jun 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 13 5 0 23 May 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models Severi Rissanen Pekka Marttinen CML 20 26 0 12 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 64 623 0 22 Jan 2021
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings Puyuan Peng Herman Kamper Karen Livescu DRL SSL 14 14 0 03 Dec 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 49 47 0 27 Jul 2020
Sequential Segment-based Level Generation and Blending using Variational Autoencoders Anurag Sarkar Seth Cooper 3DV 19 26 0 17 Jul 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 34 61 0 27 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 13 4 0 17 Mar 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 22 96 0 18 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan Iryna Gurevych Stefan Roth DRL 15 36 0 16 Feb 2020
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 22 179 0 06 Nov 2019
Study of Deep Generative Models for Inorganic Chemical Compositions Yoshihide Sawada Koji Morikawa Mikiya Fujii GAN 14 13 0 25 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 28 0 0 04 Oct 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 24 83 0 24 Aug 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 22 27 0 17 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 27 37 0 06 Mar 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 236 2,547 0 25 Jan 2016