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Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 297 1 0 07 Oct 2024
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CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha Dong Gong Lina Yao CLIP VLM 333 17 0 28 Mar 2024
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Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-TuningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Jiwan Hur Jaehyun Choi Gyojin Han Dong-Jae Lee Junmo Kim 199 10 0 02 Nov 2023
NPCL: Neural Processes for Uncertainty-Aware Continual LearningNeural Information Processing Systems (NeurIPS), 2023 Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 145 20 0 30 Oct 2023
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Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA James Smith Yen-Chang Hsu Lingyu Zhang Ting Hua Z. Kira Yilin Shen Hongxia Jin DiffM 383 139 0 12 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot ClassifierIEEE International Conference on Computer Vision (ICCV), 2023 Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 519 299 0 28 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot ClassifiersNeural Information Processing Systems (NeurIPS), 2023 Kevin Clark P. Jaini DiffM VLM 300 145 0 27 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 645 1,012 0 31 Jan 2023
Multi-Concept Customization of Text-to-Image DiffusionComputer Vision and Pattern Recognition (CVPR), 2022 Nupur Kumari Bin Zhang Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 511 1,115 0 08 Dec 2022
Editing Models with Task ArithmeticInternational Conference on Learning Representations (ICLR), 2022 Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 935 707 0 08 Dec 2022
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DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven GenerationComputer Vision and Pattern Recognition (CVPR), 2022 Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 704 3,614 0 25 Aug 2022
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High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 1.2K 20,250 0 20 Dec 2021
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021 Mathilde Caron Hugo Touvron Ishan Misra Edouard Grave Julien Mairal Piotr Bojanowski Armand Joulin 1.8K 7,623 0 29 Apr 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.9K 39,552 0 26 Feb 2021
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 363 798 0 28 Oct 2020
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization Saurav Jha Martin Schiemer Juan Ye CLL 109 13 0 06 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 3.9K 24,599 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 530 1,337 0 16 Jun 2020
Dark Experience for General Continual Learning: a Strong, Simple BaselineNeural Information Processing Systems (NeurIPS), 2020 Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 279 1,097 0 15 Apr 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and RetrievalComputer Vision and Pattern Recognition (CVPR), 2020 Tobias Weyand A. Araújo Bingyi Cao Jack Sim 242 415 0 03 Apr 2020
Generative Modeling by Estimating Gradients of the Data DistributionNeural Information Processing Systems (NeurIPS), 2019 Yang Song Stefano Ermon SyDa DiffM 629 4,712 0 12 Jul 2019
Class-incremental Learning via Deep Model ConsolidationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 346 366 0 19 Mar 2019
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