Less-forgetting Learning in Deep Neural Networks

1 July 2016

Papers citing "Less-forgetting Learning in Deep Neural Networks"

50 / 140 papers shown

Title
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning James Smith Paola Cascante-Bonilla Assaf Arbelle Donghyun Kim Yikang Shen David D. Cox Diyi Yang Z. Kira Rogerio Feris Leonid Karlinsky VLM 47 20 0 17 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation Zekang Zhang Guangyu Gao Zhiyuan Fang Jianbo Jiao Yunchao Wei CLL 31 31 0 13 Nov 2022
LLEDA -- Lifelong Self-Supervised Domain Adaptation Mamatha Thota Dewei Yi Georgios Leontidis CLL 78 7 0 12 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 25 2 0 09 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 27 71 0 04 Nov 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Yejia Liu Wang Zhu Shaolei Ren CLL 32 3 0 16 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 29 28 0 12 Oct 2022
On Neural Consolidation for Transfer in Reinforcement Learning Valentin Guillet Dennis G. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson CLL 30 0 0 05 Oct 2022
Multi-domain Learning for Updating Face Anti-spoofing Models Xiao Guo Yaojie Liu Anil Jain Xiaoming Liu CLL CVBM 33 30 0 23 Aug 2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning Yajing Kong Liu Liu Zhen Wang Dacheng Tao CLL 39 36 0 25 Jul 2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization Fei Ye A. Bors CLL 22 17 0 20 Jul 2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning Jinze Li Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Shaoyun Xu Tao Bai VLM CLL 44 2 0 03 Jul 2022
Class Impression for Data-free Incremental Learning Sana Ayromlou Purang Abolmaesumi Teresa S. M. Tsang Xiaoxiao Li 23 4 0 26 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection Huiping Zhuang Zhenyu Weng Hongxin Wei Renchunzi Xie Kar-Ann Toh Zhiping Lin CLL 35 37 0 30 May 2022
Contrastive Supervised Distillation for Continual Representation Learning Tommaso Barletti Niccoló Biondi F. Pernici Matteo Bruni A. Bimbo CLL 37 7 0 11 May 2022
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions M. Jehanzeb Mirza Marc Masana Horst Possegger Horst Bischof CLL 14 74 0 19 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection Karim Guirguis Ahmed Hendawy George Eskandar Mohamed Abdelsamad Matthias Kayser Jürgen Beyerer 27 15 0 11 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
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Yuhang Li Priyadarshini Panda FedML 13 8 0 24 Mar 2022
Meta-attention for ViT-backed Continual Learning Mengqi Xue Haofei Zhang Mingli Song Mingli Song CLL 32 42 0 22 Mar 2022
Continual Learning Based on OOD Detection and Task Masking Gyuhak Kim Sepideh Esmaeilpour Changnan Xiao Bing-Quan Liu OODD CLL 24 17 0 17 Mar 2022
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer Kaiqi Zhao Yitao Chen Ming Zhao 27 3 0 22 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs Mehreen Sirshar Taimur Hassan M. Akram S. Khan 32 33 0 07 Jan 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 27 10 0 15 Dec 2021
Hierarchical Prototype Networks for Continual Graph Representation Learning Xikun Zhang Dongjin Song Dacheng Tao CLL 34 32 0 30 Nov 2021
Reviewing continual learning from the perspective of human-level intelligence Yifan Chang Wenbo Li Jian Peng Bo Tang Yuzhi Kang Yinjie Lei Yuanmiao Gui Qing Zhu Yu Liu Haifeng Li 39 4 0 23 Nov 2021
Center Loss Regularization for Continual Learning Kaustubh Olpadkar Ekta Gavas CLL 35 1 0 21 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification Kai Wang Xialei Liu Luis Herranz Joost van de Weijer CLL 27 4 0 21 Oct 2021
Online Continual Learning Via Candidates Voting Jiangpeng He F. Zhu CLL 44 18 0 17 Oct 2021
Dataset Knowledge Transfer for Class-Incremental Learning without Memory H. Slim Eden Belouadah Adrian Daniel Popescu Darian M. Onchis CLL 13 10 0 16 Oct 2021
S-Extension Patch: A simple and efficient way to extend an object detection model Dishant Parikh ObjD VLM 30 0 0 06 Oct 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye A. Bors CLL 34 18 0 25 Aug 2021
Lifelong Mixture of Variational Autoencoders Fei Ye A. Bors DRL 24 27 0 09 Jul 2021
Lifelong Teacher-Student Network Learning Fei Ye A. Bors CLL 23 44 0 09 Jul 2021
On the importance of cross-task features for class-incremental learning Albin Soutif--Cormerais Marc Masana Joost van de Weijer Bartlomiej Twardowski CLL 35 19 0 22 Jun 2021
Dynamic Language Models for Continuously Evolving Content Spurthi Amba Hombaiah Tao Chen Mingyang Zhang Michael Bendersky Marc Najork CLL KELM 42 37 0 11 Jun 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning Shixiang Tang Dapeng Chen Jinguo Zhu Shijie Yu Wanli Ouyang CLL 24 63 0 17 May 2021
Lifelong Learning with Sketched Structural Regularization Haoran Li A. Krishnan Jingfeng Wu Soheil Kolouri Praveen K. Pilly Vladimir Braverman CLL 35 17 0 17 Apr 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 48 76 0 25 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks Sakshi Varshney Vinay Kumar Verma K. SrijithP. Lawrence Carin Piyush Rai GAN CLL 36 21 0 06 Mar 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Lawrence Carin CLL VLM 37 5 0 23 Feb 2021
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks Yujiang He Bernhard Sick CLL 54 38 0 04 Jan 2021
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 23 216 0 17 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 27 44 0 16 Dec 2020
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations Marvin Klingner Jan-Aike Termöhlen Jacob Ritterbach Tim Fingscheidt 29 39 0 17 Nov 2020
Collaborative Method for Incremental Learning on Classification and Generation Byungju Kim Jaeyoung Lee Kyungsu Kim Sungjin Kim Junmo Kim CLL 24 1 0 29 Oct 2020
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 37 666 0 28 Oct 2020
Class-incremental Learning with Pre-allocated Fixed Classifiers F. Pernici Matteo Bruni C. Baecchi F. Turchini A. Bimbo CLL 31 37 0 16 Oct 2020
iLGaCo: Incremental Learning of Gait Covariate Factors Zihao Mu F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Yan-Ran Li Shiqi Yu 31 5 0 31 Aug 2020
Two-Level Residual Distillation based Triple Network for Incremental Object Detection Dongbao Yang Yu Zhou Dayan Wu Can Ma Fei Yang Weiping Wang ObjD 17 18 0 27 Jul 2020