Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

29 October 2018

Papers citing "Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference"

50 / 148 papers shown

Title
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
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 39 1 0 21 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 29 29 0 18 Nov 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 48 12 0 11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection Yihang She Goutam Bhat Martin Danelljan Feng Yu ObjD 26 1 0 10 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER Ruotian Ma Xuanting Chen Lin Zhang Xin Zhou Junzhe Wang Tao Gui Qi Zhang Xiang Gao Yunwen Chen 44 8 0 10 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 29 2 0 03 Oct 2022
Multiple Modes for Continual Learning Siddhartha Datta N. Shadbolt CLL MoMe 45 2 0 29 Sep 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 34 2 0 29 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 24 9 0 18 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning Ya-nan Han Jian-wei Liu CLL 25 0 0 09 Sep 2022
Scalable Adversarial Online Continual Learning T. Dam Mahardhika Pratama Md Meftahul Ferdaus S. Anavatti Hussein Abbas CLL 31 3 0 04 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
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation Zhijing Wu Hua Xu Jingliang Fang Kai Gao CLL 23 1 0 10 Aug 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning Phung Lai Han Hu Nhathai Phan Ruoming Jin My T. Thai An M. Chen 20 2 0 26 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 27 210 0 26 Jul 2022
Incremental Task Learning with Incremental Rank Updates Rakib Hyder Ken Shao Boyu Hou P. Markopoulos Ashley Prater-Bennette M. Salman Asif 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
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites Jingyang Zhang Peng Xue Ran Gu Yuning Gu Mianxin Liu Yongsheng Pan Zhiming Cui Jiawei Huang Lei Ma Dinggang Shen CLL 27 8 0 14 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 41 92 0 06 Jun 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 186 272 0 30 May 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 32 5 0 23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 29 6 0 22 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 34 4 0 15 May 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection Karim Guirguis Ahmed Hendawy George Eskandar Mohamed Abdelsamad Matthias Kayser Jürgen Beyerer 19 15 0 11 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang-Cuong Pham Chenghao Liu Guosheng Lin BDL OnRL 38 57 0 30 Mar 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan Fahad Shahbaz Khan Rao Muhammad Anwer V. Balasubramanian CLL 36 46 0 28 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions Vibhor Gupta Jyoti Narwariya Pankaj Malhotra L. Vig Gautam M. Shroff AI4TS 32 20 0 14 Mar 2022
Memory Efficient Continual Learning with Transformers Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 26 42 0 09 Mar 2022
Continual Feature Selection: Spurious Features in Continual Learning Timothée Lesort CLL 27 10 0 02 Mar 2022
Architecture Matters in Continual Learning Seyed Iman Mirzadeh Arslan Chaudhry Dong Yin Timothy Nguyen Razvan Pascanu Dilan Görür Mehrdad Farajtabar OOD KELM 116 58 0 01 Feb 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 32 7 0 28 Jan 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
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 32 128 0 03 Jan 2022
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 41 0 0 26 Dec 2021
Continual learning of longitudinal health records Jacob Armstrong David A. Clifton CLL KELM 27 15 0 22 Dec 2021
Continual Learning In Environments With Polynomial Mixing Times Matthew D Riemer Sharath Chandra Raparthy Ignacio Cases G. Subbaraj M. P. Touzel Irina Rish CLL 41 8 0 13 Dec 2021
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation Zhipeng Huang Zhizheng Zhang Cuiling Lan Wenjun Zeng Peng Chu Quanzeng You Jiang Wang Zicheng Liu Zhengjun Zha CLL 40 36 0 13 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 192 122 0 05 Dec 2021
Contrastive Continual Learning with Feature Propagation Xuejun Han Yuhong Guo CLL 26 4 0 03 Dec 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 40 39 0 14 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 35 8 0 11 Oct 2021
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning Seanie Lee Haebeom Lee Juho Lee Sung Ju Hwang MoMe CLL 45 16 0 06 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning Li Yang Sen Lin Junshan Zhang Deliang Fan CLL 36 11 0 03 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang-Cuong Pham Chenghao Liu Guosheng Lin CLL 71 43 0 01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 94 22 0 10 Sep 2021