Principled and Efficient Transfer Learning of Deep Models via Neural
Collapse

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse

23 December 2022

Sheng Liu

C. Fernandez‐Granda

Papers citing "Principled and Efficient Transfer Learning of Deep Models via Neural Collapse"

8 / 8 papers shown

Title
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 19 8 0 03 Aug 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 119 44 0 03 Jan 2023
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data Hien Dang Tho Tran T. Nguyen Hung The Tran Nhat Ho Hung Tran 24 27 0 01 Jan 2023
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 178 384 0 06 Nov 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang R. L. Jin Yue Gao SSL 43 38 0 12 Oct 2021
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 122 83 0 06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 114 162 0 29 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016