Lifelong Learning with Dynamically Expandable Networks

4 August 2017

Papers citing "Lifelong Learning with Dynamically Expandable Networks"

50 / 245 papers shown

Title
SEAL: Searching Expandable Architectures for Incremental Learning Matteo Gambella Vicente Javier Castro Solar Manuel Roveri CLL 34 0 0 15 May 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Lei Hu Zhiyong Gan Ling Deng Jinglin Liang Lingyu Liang Shuangping Huang Tianshui Chen DiffM 31 0 0 10 May 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Continual Multimodal Contrastive Learning Xiaohao Liu Xiaobo Xia See-Kiong Ng Tat-Seng Chua CLL 57 0 0 19 Mar 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 82 0 0 10 Feb 2025
Towards Robust Incremental Learning under Ambiguous Supervision Rui Wang Mingxuan Xia Chang Yao Lei Feng Junbo Zhao Gang Chen Haobo Wang CLL 185 0 0 23 Jan 2025
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Christopher Angelini N. Bouaynaya BDL 38 0 0 18 Jan 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 74 0 0 25 Nov 2024
Anti-Forgetting Adaptation for Unsupervised Person Re-identification Hao Chen F. Brémond Nicu Sebe Shiliang Zhang CLL 115 1 0 22 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 40 0 0 04 Nov 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering Deepayan Das Davide Talon Massimiliano Mancini Yiming Wang Elisa Ricci 50 0 0 04 Nov 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection Mingyi Guo Yuyang Liu Zongying Lin Peixi Peng Yonghong Tian Yonghong Tian VLM 35 0 0 08 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 46 1 0 01 Oct 2024
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning Kaushik Roy Akila Dissanayake Brendan Tidd Peyman Moghadam CLL VLM 69 2 0 30 Sep 2024
Drift to Remember Jin Du Xinsong Zhang Hao Shen Xun Xian Ganghua Wang Jiawei Zhang Yuhong Yang Na Li Jia Liu Jie Ding CLL 21 0 0 21 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 47 7 0 02 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model Xin Su Zhuoran Zheng CLL 32 1 0 01 Sep 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation Yuanzhi Su Siyuan Chen Yuan-Gen Wang CLL 39 2 0 02 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 43 1 0 30 Jul 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation Zhengyuan Xie Haiquan Lu Jia-Wen Xiao Enguang Wang Le Zhang Xialei Liu CLL 33 2 0 19 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang CLL VLM 56 0 0 18 Jul 2024
Learning System Dynamics without Forgetting Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao AI4CE 42 2 0 30 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models Lukas Thede Karsten Roth Olivier J. Hénaff Matthias Bethge Zeynep Akata CLL 47 5 0 13 Jun 2024
AGALE: A Graph-Aware Continual Learning Evaluation Framework Tianqi Zhao Alan Hanjalic Megha Khosla 40 1 0 03 Jun 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 35 2 0 30 May 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification Qizao Wang Xuelin Qian Bin Li Xiangyang Xue 28 1 0 30 May 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification Xuelin Qian Ruiqi Wu Gong Cheng Junwei Han CLL 52 2 0 29 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation Xiaoyang Chen Hao Zheng Yifang Xie Yuncong Ma Tengfei Li CLL 48 0 0 25 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 46 0 0 30 Apr 2024
MuseumMaker: Continual Style Customization without Catastrophic Forgetting Chenxi Liu Gan Sun Wenqi Liang Jiahua Dong Can Qin Yang Cong DiffM 50 3 0 25 Apr 2024
Adaptive Memory Replay for Continual Learning James Seale Smith Lazar Valkov Shaunak Halbe V. Gutta Rogerio Feris Z. Kira Leonid Karlinsky 44 6 0 18 Apr 2024
Toward industrial use of continual learning : new metrics proposal for class incremental learning Mohamed Abbas Konaté A. Yao T. Chateau P. Bouges CLL 24 0 0 10 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 48 9 0 27 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare Chia-Hao Li N. Jha MedIm 48 0 0 13 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning Hongjoon Ahn Jinu Hyeon Youngmin Oh Bosun Hwang Taesup Moon CLL OnRL 37 2 0 08 Mar 2024
Generalizable Two-Branch Framework for Image Class-Incremental Learning Chao Wu Xiaobin Chang Ruixuan Wang CLL 23 2 0 28 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning Seungyoon Choi Wonjoong Kim Sungwon Kim Yeonjun In Sein Kim Chanyoung Park CLL 30 5 0 21 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su Difan Zou Zijun Zhang Chuan Wu CLL OOD 43 18 0 20 Feb 2024
Towards Open-World Gesture Recognition Junxiao Shen Matthias De Lange X. Xu Enmin Zhou Ran Tan Naveen Suda Maciej Lazarewicz Per Ola Kristensson Amy Karlson Evan Strasnick 20 3 0 20 Jan 2024
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 27 3 0 20 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models Kyra Ahrens Hans Hergen Lehmann Jae Hee Lee Stefan Wermter CLL 35 7 0 13 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning Ruxiao Duan Yaoyao Liu Jieneng Chen Adam Kortylewski Alan Yuille DiffM VLM 38 1 0 30 Nov 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 36 8 0 23 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 44 7 0 08 Nov 2023
Continual Named Entity Recognition without Catastrophic Forgetting Duzhen Zhang Wei Cong Jiahua Dong Yahan Yu Xiuyi Chen Yonggang Zhang Zhen Fang 28 10 0 23 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 34 19 0 18 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. Rupam Mahmood CLL 51 9 0 02 Oct 2023