Lifelong GAN: Continual Learning for Conditional Image Generation

23 July 2019

Papers citing "Lifelong GAN: Continual Learning for Conditional Image Generation"

25 / 25 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning M. Nori Il Kim Guanghui Wang CLL 42 0 0 09 May 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 127 0 0 15 Jan 2025
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 27 0 0 21 Oct 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation Dunyuan Xu Xi Wang Jingyang Zhang Pheng-Ann Heng MedIm CLL 93 0 0 26 Jun 2024
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner Qiang Nie Weifu Fu Yuhuan Lin Jialin Li Yifeng Zhou Yong Liu Lei Zhu Chengjie Wang 24 0 0 05 Jun 2024
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation Trinetra Devkatte S. Dubey Satish Kumar Singh Abdenour Hadid CLL CVBM SupR 35 0 0 27 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 37 2 0 12 Jan 2024
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani J. Liu 62 31 0 27 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your model? Kshitij Gupta Benjamin Thérien Adam Ibrahim Mats L. Richter Quentin G. Anthony Eugene Belilovsky Irina Rish Timothée Lesort KELM 22 99 0 08 Aug 2023
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 14 11 0 27 Mar 2023
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation Yang Zhao Junnan Zhu Lu Xiang Jiajun Zhang Yu Zhou Feifei Zhai Chengqing Zong CLL 37 6 0 06 Dec 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 12 0 0 25 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection Tobias Kalb Björn Mauthe Jürgen Beyerer CLL 21 10 0 20 Sep 2022
Progressive Latent Replay for efficient Generative Rehearsal Stanislaw Pawlak Filip Szatkowski Michal Bortkiewicz Jan Dubiñski Tomasz Trzciñski 9 2 0 04 Jul 2022
StyleAlign: Analysis and Applications of Aligned StyleGAN Models Zongze Wu Yotam Nitzan Eli Shechtman Dani Lischinski 16 56 0 21 Oct 2021
Adaptive Appearance Rendering Mengyao Zhai Ruizhi Deng Jiacheng Chen Lei Chen Zhiwei Deng Greg Mori 23 1 0 24 Apr 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay K. Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 30 76 0 25 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 26 129 0 12 Mar 2021
Generative Adversarial Network based Heuristics for Sampling-based Path Planning Tianyi Zhang Jiankun Wang M. Meng GAN 8 50 0 07 Dec 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 19 146 0 03 Sep 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 9 116 0 13 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 17 2,822 0 09 Jun 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 17 401 0 23 Apr 2020
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 25 955 0 23 Jul 2019