Efficient Lifelong Learning with A-GEM

2 December 2018

Papers citing "Efficient Lifelong Learning with A-GEM"

50 / 676 papers shown

Title
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 32 0 0 15 Feb 2024
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning Jason Yoo Yunpeng Liu Frank D. Wood Geoff Pleiss CLL 19 5 0 14 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators Yan Shen Zhanghexuan Ji Chunwei Ma Mingchen Gao TTA 14 2 0 05 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 16 8 0 05 Feb 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA Yu-Guan Hsieh James Thornton Eugène Ndiaye Michal Klein Marco Cuturi Pierre Ablin MedIm 31 0 0 05 Feb 2024
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement Xisen Jin Xiang Ren KELM CLL 18 6 0 02 Feb 2024
Sample Weight Estimation Using Meta-Updates for Online Continual Learning Hamed Hemati Damian Borth 30 0 0 29 Jan 2024
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning Tao He Tongtong Wu Dongyang Zhang Guiduo Duan Ke Qin Yuan-Fang Li CLL 21 1 0 26 Jan 2024
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer Junhao Zheng Qianli Ma Zhen Liu Binquan Wu Hu Feng CLL 26 14 0 17 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision Transformer Kaixin Huang Li Shen Chen Zhao Chun Yuan Dacheng Tao CLL OffRL 19 5 0 16 Jan 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning Xiaoxue Han Zhuo Feng Yue Ning CLL 12 1 0 05 Jan 2024
Balancing Continual Learning and Fine-tuning for Human Activity Recognition Chi Ian Tang Lorena Qendro Dimitris Spathis F. Kawsar Akhil Mathur Cecilia Mascolo SSL HAI 16 1 0 04 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning Fan Lyu Wei Feng Yuepan Li Qing Sun Fanhua Shang Liang Wan Liang Wang 25 2 0 02 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 55 11 0 28 Dec 2023
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio cCaugatay Yildiz Gido M. van de Ven Tomasz Trzciñski Tinne Tuytelaars Matthias Bethge 19 1 0 27 Dec 2023
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 13 3 0 20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video Representations Haeyong Kang Jaehong Yoon Sung Ju Hwang Chang D. Yoo CLL 27 2 0 19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 50 21 0 16 Dec 2023
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection Xiaohui Zhang Jiangyan Yi Chenglong Wang Chuyuan Zhang Siding Zeng Jianhua Tao 57 25 0 15 Dec 2023
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning Zhenrong Liu Yang Li Yi Gong Yik-Chung Wu CLL 13 1 0 14 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 31 7 0 13 Dec 2023
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection Ziqi Yuan Liyuan Wang Wenbo Ding Xingxing Zhang Jiachen Zhong Jianyong Ai Jianmin Li Jun Zhu 8 0 0 13 Dec 2023
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 24 1 0 12 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning Khanh Doan Quyen Tran Tung Lam Tran Tuan Nguyen Dinh Q. Phung Trung Le DiffM 13 2 0 10 Dec 2023
Wake-Sleep Consolidated Learning Amelia Sorrenti Giovanni Bellitto Federica Proietto Salanitri M. Pennisi S. Palazzo C. Spampinato CLL 33 0 0 06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 16 0 0 06 Dec 2023
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning Vinay K. Verma Nikhil Mehta Kevin J Liang Aakansha Mishra Lawrence Carin BDL VLM 31 2 0 02 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning Cheng Chen Jingkuan Song LianLi Gao Hengtao Shen 23 1 0 01 Dec 2023
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters James Seale Smith Yen-Chang Hsu Z. Kira Yilin Shen Hongxia Jin DiffM 25 6 0 30 Nov 2023
D4AM: A General Denoising Framework for Downstream Acoustic Models H. Wang Yu Tsao Hsin-Min Wang Chu-Song Chen 11 4 0 28 Nov 2023
Continual Instruction Tuning for Large Multimodal Models Jinghan He Haiyun Guo Ming Tang Jinqiao Wang VLM MLLM CLL KELM 25 20 0 27 Nov 2023
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning Jiaqi Li Yuanhao Lai Rui Wang Changjian Shui Sabyasachi Sahoo Charles X. Ling Shichun Yang Boyu Wang Christian Gagné Fan Zhou CLL 40 1 0 26 Nov 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss Zezhou Wang Guitao Cao Xidong Xi Jiangtao Wang 11 0 0 25 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning Chen Cheng Jingkuan Song Xiaosu Zhu Junchen Zhu Lianli Gao H. Shen CLL 23 2 0 25 Nov 2023
Class Gradient Projection For Continual Learning Cheng Chen Ji Zhang Jingkuan Song Lianli Gao CLL 11 16 0 25 Nov 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 34 7 0 23 Nov 2023
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning Yaqi Liu Chao Xia Song Xiao Qingxiao Guan Wenqian Dong Yifan Zhang Neng H. Yu 27 3 0 22 Nov 2023
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges Shilin Zhang Jiahui Wang CLL 22 0 0 22 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 17 2 0 18 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 32 10 0 09 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 36 7 0 08 Nov 2023
Improving the Effectiveness of Deep Generative Data Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 29 3 0 07 Nov 2023
Learning to Learn for Few-shot Continual Active Learning Stella Ho Ming Liu Shang Gao Longxiang Gao KELM BDL VLM CLL 9 2 0 07 Nov 2023
Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Model Sayantan Auddy Jakob J. Hollenstein Matteo Saveriano Antonio Rodríguez-Sánchez J. Piater 41 7 0 06 Nov 2023
Task Arithmetic with LoRA for Continual Learning Rajas Chitale Ankit Vaidya Aditya Kane Archana Ghotkar 32 13 0 04 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks Rouzbeh Meshkinnejad Jie Mei Daniel Lizotte Y. Mohsenzadeh SSL CLL 39 3 0 02 Nov 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning Anton Lee Yaqian Zhang Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer CLL 6 2 0 30 Oct 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 29 12 0 30 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth Lukas Thede Almut Sophia Koepke Oriol Vinyals Olivier J. Hénaff Zeynep Akata AAML 17 11 0 26 Oct 2023
Towards Continually Learning Application Performance Models Ray A. O. Sinurat Anurag Daram Haryadi S. Gunawi Robert B. Ross Sandeep Madireddy 11 0 0 25 Oct 2023