End-to-End Incremental Learning

25 July 2018

Papers citing "End-to-End Incremental Learning"

50 / 218 papers shown

Title
Continual Detection Transformer for Incremental Object Detection Yaoyao Liu Bernt Schiele Andrea Vedaldi Christian Rupprecht CLL 18 52 0 06 Apr 2023
How Efficient Are Today's Continual Learning Algorithms? Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Christopher Kanan 24 24 0 29 Mar 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
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 28 0 0 24 Mar 2023
Assessor-Guided Learning for Continual Environments M. A. Ma'sum Mahardhika Pratama E. Lughofer Weiping Ding W. Jatmiko 31 13 0 21 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning Sang-Ho Kim Lorenzo Noci Antonio Orvieto Thomas Hofmann CLL 30 35 0 16 Mar 2023
A Neural Span-Based Continual Named Entity Recognition Model Yunan Zhang Qingcai Chen CLL 32 7 0 23 Feb 2023
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data Peng Peng Hanrong Zhang Mengxuan Li Gongzhuang Peng Hongwei Wang Weiming Shen CLL 19 8 0 12 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Hefei Ling Zhouchen Lin Philip Torr Dacheng Tao CLL 34 98 0 06 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 38 7 0 02 Feb 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun Phillip S. Yu SSL CLL 29 5 0 28 Jan 2023
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning Abhinit Kumar Ambastha Tze-Yun Leong CLL OOD 23 1 0 28 Jan 2023
Are Labels Needed for Incremental Instance Learning? Mert Kilickaya Joaquin Vanschoren CLL SSL 39 1 0 26 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 31 93 0 14 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 42 88 0 13 Jan 2023
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning Xialei Liu Jiang-Tian Zhai Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 23 4 0 16 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 36 17 0 09 Dec 2022
Open World DETR: Transformer based Open World Object Detection Na Dong Yongqiang Zhang Mingli Ding G. Lee 22 10 0 06 Dec 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 18 0 0 25 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 30 112 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
Teaching Structured Vision&Language Concepts to Vision&Language Models Sivan Doveh Assaf Arbelle Sivan Harary Yikang Shen Roei Herzig ... Donghyun Kim Raja Giryes Rogerio Feris S. Ullman Leonid Karlinsky VLM CoGe 56 70 0 21 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 42 1 0 21 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 34 129 0 19 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 23 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
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 136 141 0 30 Oct 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation Youngmin Oh Donghyeon Baek Bumsub Ham CLL 22 25 0 13 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 47 8 0 10 Oct 2022
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning Paul Janson Wenxuan Zhang Rahaf Aljundi Mohamed Elhoseiny VLM SSL CLL 32 52 0 10 Oct 2022
CLIP model is an Efficient Continual Learner Vishal Thengane Salman Khan Munawar Hayat Fahad Shahbaz Khan BDL VLM CLL 112 46 0 06 Oct 2022
Distance Based Image Classification: A solution to generative classification's conundrum? Wen-Yan Lin Siying Liu B. Dai Hongdong Li VLM 37 2 0 04 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal Hao Zhou Shuo Yang Jun Fang Yuanjun Xiong Wei Xia UQCV 36 1 0 27 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
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization Gilhyun Nam Gyeongjae Choi Kyungmin Lee OOD 18 4 0 22 Aug 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
On the Limitations of Continual Learning for Malware Classification Mohammad Saidur Rahman Scott E. Coull M. Wright 34 13 0 13 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa CLL 26 20 0 09 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 27 213 0 26 Jul 2022
UC-OWOD: Unknown-Classified Open World Object Detection Zhi-zong Wu Yue Lu Xingyu Chen Zhengxing Wu Liwen Kang Junzhi Yu 17 55 0 23 Jul 2022
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay Huan Liu Li Gu Zhixiang Chi Yang Wang Yuanhao Yu Jun Chen Jingshan Tang 33 82 0 22 Jul 2022
Novel Class Discovery without Forgetting K. J. Joseph S. Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han V. Balasubramanian CLL 54 43 0 21 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 25 11 0 20 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 40 73 0 20 Jul 2022
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale Gopinath Chennupati Milind Rao Gurpreet Chadha Aaron Eakin A. Raju ... Andrew Oberlin Buddha Nandanoor Prahalad Venkataramanan Zheng Wu Pankaj Sitpure CLL 27 8 0 19 Jul 2022
Class-incremental Novel Class Discovery Subhankar Roy Mingxuan Liu Zhun Zhong N. Sebe Elisa Ricci CLL 33 43 0 18 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 23 2 0 14 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning Huitong Chen Yu Wang Q. Hu CLL 30 16 0 30 Jun 2022