Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

15 November 2017

Matthew Hoffman

Papers citing "Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models"

27 / 27 papers shown

Title
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 48 2 0 05 Mar 2024
ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts Vishruth Veerendranath Vibha Masti Utkarsh Gupta Hrishit Chaudhuri Gowri Srinivasa 25 1 0 13 Jan 2024
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains Maxime Di Folco Cosmin I. Bercea Julia A. Schnabel 28 0 0 24 Jul 2023
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu Saman Motamed Shaunak Srivastava Fernando de la Torre VLM DiffM 21 34 0 14 Sep 2022
Diffusion models as plug-and-play priors Alexandros Graikos Nikolay Malkin Nebojsa Jojic Dimitris Samaras DiffM 48 218 0 17 Jun 2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 37 4 0 20 May 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations Marco Bertolini Djork-Arné Clevert F. Montanari FAtt 14 5 0 18 Feb 2022
Differential-Critic GAN: Generating What You Want by a Cue of Preferences Yinghua Yao Yuangang Pan Ivor W. Tsang Xin Yao DiffM 28 0 0 14 Jul 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making S. Reddy Anca Dragan Sergey Levine OffRL 44 13 0 07 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 57 190 0 30 Mar 2021
Plug and Play Autoencoders for Conditional Text Generation Florian Mai Nikolaos Pappas Ivan Montero Noah A. Smith U. Washington 25 36 0 06 Oct 2020
EvolGAN: Evolutionary Generative Adversarial Networks Baptiste Roziere F. Teytaud Vlad Hosu Hanhe Lin Jérémy Rapin M. Zameshina O. Teytaud GAN 31 14 0 28 Sep 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 24 58 0 29 Jul 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 34 18 0 21 Apr 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Zhuowen Tu DRL CoGe 34 106 0 02 Apr 2020
Controlling generative models with continuous factors of variations Antoine Plumerault Hervé Le Borgne C´eline Hudelot DRL 30 127 0 28 Jan 2020
Encoding Musical Style with Transformer Autoencoders Kristy Choi Curtis Hawthorne Ian Simon Monica Dinculescu Jesse Engel 33 89 0 10 Dec 2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders Yu Duan Canwen Xu Jiaxin Pei Jialong Han Chenliang Li 24 42 0 10 Nov 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 27 4 0 03 Jun 2019
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making Carrie J. Cai Emily Reif Narayan Hegde J. Hipp Been Kim ... Martin Wattenberg F. Viégas G. Corrado Martin C. Stumpe Michael Terry 43 397 0 08 Feb 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 21 193 0 29 Jan 2019
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 42 209 0 13 Oct 2018
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 43 65 0 08 Oct 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 33 165 0 06 Apr 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 41 474 0 13 Mar 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 77 1,794 0 30 Nov 2017