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Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning

12 January 2024

Xianming Liu

Papers citing "Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning"

42 / 42 papers shown

Title
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais Joost van de Weijer Andrew D. Bagdanov 256 0 0 13 Mar 2025
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu Steve Yang Baile Xu Jian Zhao Furao Shen CLL 264 0 0 26 Nov 2024
Learning Towards the Largest Margins Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 69 12 0 23 Jun 2022
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data Yujin Tang Yifan Peng Weishi Zheng CLL 90 34 0 19 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models Tz-Ying Wu Gurumurthy Swaminathan Zhizhong Li Avinash Ravichandran Nuno Vasconcelos Rahul Bhotika Stefano Soatto CLL 176 73 0 07 Apr 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 147 155 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 119 51 0 28 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 130 31 0 28 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning Qiankun Gao Chen Zhao Guohao Li Jian Zhang CLL 120 78 0 24 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 97 12 0 11 Mar 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 135 100 0 01 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 213 522 0 24 Nov 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard Alexandre Ramé Guillaume Couairon Matthieu Cord CLL 218 340 0 22 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 249 170 0 30 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 121 70 0 13 Oct 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 144 178 0 17 Jun 2021
New Insights on Reducing Abrupt Representation Change in Online Continual Learning Lucas Caccia Rahaf Aljundi Nader Asadi Tinne Tuytelaars Joelle Pineau Eugene Belilovsky CLL 198 222 0 11 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan Jiangwei Xie Xuming He CLL 107 501 0 31 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 319 184 0 02 Mar 2021
Incremental Learning via Rate Reduction Ziyang Wu Christina Baek Chong You Yi-An Ma CLL 92 42 0 30 Nov 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 549 1,483 0 08 Oct 2020
Memory Efficient Class-Incremental Learning for Image Classification Hanbin Zhao Haibo Wang Yongjian Fu Leilei Gan Xi Li CLL VLM 135 88 0 04 Aug 2020
SS-IL: Separated Softmax for Incremental Learning Hongjoon Ahn Jihwan Kwak S. Lim Hyeonsu Bang Hyojun Kim Taesup Moon CLL 222 190 0 31 Mar 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 159 224 0 03 Jan 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 227 591 0 18 Dec 2019
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 218 464 0 16 Nov 2019
Lifelong GAN: Continual Learning for Conditional Image Generation Mengyao Zhai Lei Chen Frederick Tung Jiawei He Megha Nawhal Greg Mori CLL 166 188 0 23 Jul 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 154 200 0 06 Jun 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 145 250 0 20 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 215 213 0 29 Mar 2019
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 279 1,192 0 25 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 244 2,173 0 10 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios Davide Maltoni Vincenzo Lomonaco CLL 182 314 0 22 Jun 2018
Deep Generative Dual Memory Network for Continual Learning Nitin Kamra Umang Gupta Yan Liu BDL 134 156 0 28 Oct 2017
Unified Deep Supervised Domain Adaptation and Generalization Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto OOD 272 814 0 28 Sep 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 281 2,168 0 24 May 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 450 3,984 0 23 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 412 3,625 0 07 Oct 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 733 4,670 0 29 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.0K 200,955 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 560 20,547 0 09 Mar 2015
Domain Generalization via Invariant Feature Representation Krikamol Muandet David Balduzzi Bernhard Schölkopf OOD 318 1,222 0 10 Jan 2013