Neural Collapse in Multi-label Learning with Pick-all-label Loss

Neural Collapse in Multi-label Learning with Pick-all-label Loss

24 October 2023

Qing Qu

Papers citing "Neural Collapse in Multi-label Learning with Pick-all-label Loss"

16 / 16 papers shown

Title
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model George Andriopoulos Soyuj Jung Basnet Juan Guevara Li Guo Keith Ross 27 0 0 14 May 2025
On the Geometry of Semantics in Next-token Prediction Yize Zhao Christos Thrampoulidis 23 0 0 13 May 2025
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations Yize Zhao Tina Behnia V. Vakilian Christos Thrampoulidis 55 8 0 20 Feb 2025
$$\ell_1$-norm rank-one symmetric matrix factorization has no spurious second-order stationary points$ $\ell_1$ -norm rank-one symmetric matrix factorization has no spurious second-order stationary points Jiewen Guan Anthony Man-Cho So 39 2 0 07 Oct 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation Can Yaras Peng Wang Laura Balzano Qing Qu AI4CE 37 12 0 06 Jun 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction Peng Wang Huikang Liu Druv Pai Yaodong Yu Zhihui Zhu Q. Qu Yi-An Ma 34 6 0 04 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 48 12 0 28 May 2024
Generalized Neural Collapse for a Large Number of Classes Jiachen Jiang Jinxin Zhou Peng Wang Qing Qu Dustin Mixon Chong You Zhihui Zhu AI4CE 32 23 0 09 Oct 2023
Investigating the Catastrophic Forgetting in Multimodal Large Language Models Yuexiang Zhai Shengbang Tong Xiao Li Mu Cai Qing Qu Yong Jae Lee Y. Ma VLM MLLM CLL 77 77 0 19 Sep 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi Xinming Zhang Jiaya Jia 132 45 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 37 28 0 01 Jan 2023
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 48 12 0 11 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 39 7 0 19 Sep 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 132 83 0 06 Oct 2021
Dissecting Supervised Contrastive Learning Florian Graf Christoph Hofer Marc Niethammer Roland Kwitt SSL 114 69 0 17 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 127 165 0 29 Jan 2021