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What happens to diffusion model likelihood when your model is conditional?

10 September 2024

Papers citing "What happens to diffusion model likelihood when your model is conditional?"

21 / 21 papers shown

Title
Membership Inference of Diffusion Models Hailong Hu Jun Pang 82 39 0 24 Jan 2023
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models Martha Lewis Nihal V. Nayak Peilin Yu Qinan Yu Jack Merullo Stephen H. Bach Ellie Pavlick VLM OCL CoGe 108 68 0 20 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision Alec Radford Jong Wook Kim Tao Xu Greg Brockman C. McLeavey Ilya Sutskever OffRL 215 3,750 0 06 Dec 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,971 0 26 Jul 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 102 85 0 16 Jun 2022
TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context Nithin Rao Koluguri Taejin Park Boris Ginsburg ViT 109 104 0 08 Oct 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov Jiansheng Wei DiffM BDL 125 136 0 28 Sep 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 110 543 0 13 May 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 999 29,871 0 26 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 171 673 0 22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 364 6,586 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 295 7,492 0 06 Oct 2020
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech Yi Ren Chenxu Hu Xu Tan Tao Qin Sheng Zhao Zhou Zhao Tie-Yan Liu 105 1,410 0 08 Jun 2020
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 122 419 0 17 May 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 158 881 0 02 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 446 5,168 0 19 Jun 2018
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 127 1,453 0 09 Oct 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 319 2,391 0 20 Dec 2016
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 145 1,146 0 05 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015