Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

3 August 2023

Papers citing "Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants"

39 / 39 papers shown

Title
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou Shuaiwen Leon Song Jianlong Wu Liqiang Nie Guohao Li 71 12 0 07 Jun 2024
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu Xiaoying Gan Lina Yang Weinan Zhang Luoyi Fu Xinbing Wang CLL 47 28 0 27 May 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 92 142 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 72 47 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 65 30 0 28 Mar 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Tianlin Li Qi Zhu CLL FedML 78 179 0 22 Mar 2022
CoReS: Compatible Representations via Stationarity Niccoló Biondi F. Pernici Matteo Bruni A. Bimbo OOD 45 9 0 15 Nov 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 94 103 0 22 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning D. Guo Longlong Tian Minghe Zhang Mingyuan Zhou H. Zha OOD 35 23 0 18 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 59 61 0 13 Oct 2021
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 161 86 0 06 Oct 2021
Co-Transport for Class-Incremental Learning Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 84 74 0 27 Jul 2021
On Learning the Geodesic Path for Incremental Learning Christian Simon Piotr Koniusz Mehrtash Harandi CLL 55 121 0 17 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 75 293 0 07 Apr 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 228 175 0 02 Mar 2021
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 69 99 0 17 Dec 2020
Neural Collapse with Cross-Entropy Loss Jianfeng Lu Stefan Steinerberger MLT 47 65 0 15 Dec 2020
Neural collapse with unconstrained features D. Mixon Hans Parshall Jianzong Pi 59 120 0 23 Nov 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 92 217 0 10 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 172 572 0 18 Aug 2020
Feature Space Augmentation for Long-Tailed Data Peng Chu Xiao Bian Shaopeng Liu Haibin Ling 71 240 0 09 Aug 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 67 225 0 12 Jun 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 86 409 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 76 341 0 01 Apr 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 80 322 0 26 Mar 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 62 563 0 18 Dec 2019
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 111 425 0 16 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 172 1,213 0 21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 107 1,594 0 18 Jun 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 89 1,249 0 30 May 2019
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 86 181 0 16 Oct 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 85 1,153 0 25 Jul 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,129 0 25 Apr 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 83 1,628 0 27 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 261 4,042 0 16 Nov 2017
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,391 0 29 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 341 7,316 0 13 Jun 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.5K 39,472 0 01 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 137 1,439 0 21 Dec 2013