Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning

7 March 2024

Papers citing "Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning"

29 / 29 papers shown

Title
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty Yanzhe Wen Miao Hu Qi Zhang Zhu Lei Guang Zeng Rong-Hua Li Guoren Wang 118 0 0 20 May 2025
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning Zitong Huang Ze Chen Zhixing Chen Erjin Zhou Xinxing Xu Rick Siow Mong Goh Yong-Jin Liu Wangmeng Zuo Chun-Mei Feng CLL VLM BDL 97 11 0 03 Jan 2024
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 82 85 0 22 Jul 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Zifeng Wang Zizhao Zhang Sayna Ebrahimi Ruoxi Sun Han Zhang ... Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VLM VPVLM 117 501 0 10 Apr 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 104 142 0 30 Mar 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks Denis Kleyko G. Karunaratne J. Rabaey Abu Sebastian Abbas Rahimi KELM 83 10 0 11 Mar 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 101 794 0 16 Dec 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 94 295 0 07 Apr 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 78 290 0 17 Mar 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 97 255 0 12 Feb 2021
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 99 220 0 10 Oct 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 124 1,496 0 04 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 350 1,754 0 29 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 51 122 0 13 Jun 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 90 411 0 23 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning Lu Yu Bartlomiej Twardowski Xialei Liu Luis Herranz Kai Wang Yongmei Cheng Shangling Jui Joost van de Weijer CLL 90 345 0 01 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,866 0 13 Feb 2020
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 71 510 0 26 Sep 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 783 8,566 0 03 Jan 2019
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,160 0 25 Jul 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 366 27,244 0 20 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,781 0 23 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 662 29,156 0 09 Sep 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,428 0 29 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 375 7,333 0 13 Jun 2016