Interpretable Generative Models through Post-hoc Concept Bottlenecks

25 March 2025

Papers citing "Interpretable Generative Models through Post-hoc Concept Bottlenecks"

24 / 24 papers shown

Title
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance Divyansh Srivastava Beatriz Cabrero-Daniel Christian Berger VLM 118 13 0 17 Jan 2025
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 81 174 0 12 Apr 2023
Sigmoid Loss for Language Image Pre-Training Xiaohua Zhai Basil Mustafa Alexander Kolesnikov Lucas Beyer CLIP VLM 140 1,138 0 27 Mar 2023
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 84 301 0 14 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 184 3,885 0 26 Jul 2022
Memory-Based Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Christopher D. Manning Chelsea Finn KELM 90 350 0 13 Jun 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 154 68 0 31 May 2022
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks Tuomas P. Oikarinen Tsui-Wei Weng VLM 46 88 1 23 Apr 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 236 1,345 0 10 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 393 15,454 0 20 Dec 2021
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 324 366 0 21 Oct 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 198 7,818 0 11 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 866 29,341 0 26 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 389 4,937 0 24 Feb 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 239 7,350 0 06 Oct 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 94 821 0 09 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 561 18,008 0 19 Jun 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 138 1,177 0 12 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 444 42,393 0 03 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 269 5,808 0 03 Dec 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation Cheng-Han Lee Ziwei Liu Lingyun Wu Ping Luo CVBM 151 1,076 0 27 Jul 2019
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 125 7,351 0 27 Oct 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 415 3,209 0 30 Oct 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 269 19,045 0 20 Dec 2014