Gradient based sample selection for online continual learning

20 March 2019

Papers citing "Gradient based sample selection for online continual learning"

50 / 155 papers shown

Title
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection Barza Nisar Hruday Vishal Kanna Anand Steven L. Waslander 35 1 0 27 Apr 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection Lanyun Zhu Tianrun Chen Jianxiong Yin Simon See Jun Liu CLL VLM 19 44 0 11 Apr 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Robust Test-Time Adaptation in Dynamic Scenarios Longhui Yuan Binhui Xie Shuangliang Li TTA 29 115 0 24 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 34 1 0 24 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 22 9 0 20 Mar 2023
Centroid Distance Distillation for Effective Rehearsal in Continual Learning Daofeng Liu Fan Lyu Linyan Li Zhenping Xia Fuyuan Hu 27 4 0 06 Mar 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 32 14 0 28 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 31 27 0 24 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 31 0 0 11 Jan 2023
On Sequential Bayesian Inference for Continual Learning Samuel Kessler Adam D. Cobb Tim G. J. Rudner S. Zohren Stephen J. Roberts CLL BDL 64 6 0 04 Jan 2023
Saliency-Augmented Memory Completion for Continual Learning Guangji Bai Chen Ling Yuyang Gao Liang Zhao CLL 40 4 0 26 Dec 2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection Sanghyun Woo Kwanyong Park Seoung Wug Oh In So Kweon Joon-Young Lee VLM VOS 28 6 0 20 Dec 2022
Learning Disentangled Label Representations for Multi-label Classification Jian Jia Fei He Naiyu Gao Xiaotang Chen Kaiqi Huang 36 3 0 02 Dec 2022
Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh You Li Ankur Sikarwar Weixian Lei Daniel Gao Morgan B. Talbot Ying Sun Mike Zheng Shou Gabriel Kreiman Mengmi Zhang CLL 18 5 0 28 Nov 2022
Progressive Learning without Forgetting Tao Feng Hangjie Yuan Mang Wang Ziyuan Huang Ang Bian Jianzhou Zhang CLL KELM 44 4 0 28 Nov 2022
Multi-Label Continual Learning using Augmented Graph Convolutional Network Kaile Du Fan Lyu Linyan Li Fuyuan Hu Wei Feng Fenglei Xu Xuefeng Xi Hanjing Cheng CLL 33 13 0 27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 41 7 0 26 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 32 69 0 23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation Marco Cotogni Fei Yang C. Cusano Andrew D. Bagdanov Joost van de Weijer CLL 30 0 0 22 Nov 2022
Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams Yongrui Chen Xinnan Guo Tongtong Wu Guilin Qi Yong Li Yang Dong CLL AI4TS 26 7 0 21 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 23 2 0 09 Nov 2022
Do Pre-trained Models Benefit Equally in Continual Learning? Kuan-Ying Lee Yuanyi Zhong Yu-xiong Wang CLL 32 28 0 27 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 24 28 0 12 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 56 12 0 11 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning Yanyan Liang Wu-Jun Li CLL 18 8 0 23 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection Tobias Kalb Björn Mauthe Jürgen Beyerer CLL 32 10 0 20 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 35 9 0 18 Sep 2022
Class-Incremental Learning via Knowledge Amalgamation Marcus Vinícius de Carvalho Mahardhika Pratama Jie Zhang Yajuan San CLL 24 8 0 05 Sep 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim Zixuan Ke Bin Liu VLM CLL OODD 25 29 0 20 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 43 18 0 17 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 33 122 0 10 Aug 2022
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts Camila González Amin Ranem Ahmed Othman Anirban Mukhopadhyay OOD 21 7 0 05 Aug 2022
Incremental Task Learning with Incremental Rank Updates Rakib Hyder Ken Shao Boyu Hou P. Markopoulos Ashley Prater-Bennette Ulugbek S. Kamilov CLL 16 13 0 19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 32 27 0 15 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 37 40 0 15 Jul 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 53 151 0 01 Jun 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 29 7 0 22 May 2022
Incremental Learning with Differentiable Architecture and Forgetting Search James Smith Zachary Seymour Han-Pang Chiu OOD CLL AI4CE 42 4 0 19 May 2022
Alleviating Representational Shift for Continual Fine-tuning Shibo Jie Zhi-Hong Deng Ziheng Li CLL 37 11 0 22 Apr 2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection Minqian Liu Shiyu Chang Lifu Huang KELM CLL 22 29 0 15 Apr 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data Wenxuan Zhou Steven Bohez Jan Humplik A. Abdolmaleki Dushyant Rao Markus Wulfmeier Tuomas Haarnoja N. Heess OffRL 40 6 0 12 Apr 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Jingyu Sun Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 30 6 0 04 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Minsoo Kang Jaeyoo Park Bohyung Han CLL 27 179 0 02 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 26 60 0 31 Mar 2022
Memory Efficient Continual Learning with Transformers Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 29 43 0 09 Mar 2022
Diagnosing Batch Normalization in Class Incremental Learning Minghao Zhou Quanziang Wang Jun Shu Qian Zhao Deyu Meng CLL 48 6 0 16 Feb 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin Jia Shi Deepak Pathak Deva Ramanan CLL VLM 148 91 0 17 Jan 2022