Learning Towards the Largest Margins

Learning Towards the Largest Margins

23 June 2022

Xianming Liu

Xin Gao

Papers citing "Learning Towards the Largest Margins"

8 / 8 papers shown

Title
Large Margin Discriminative Loss for Classification Hai-Vy Nguyen Fabrice Gamboa Sixin Zhang Reda Chhaibi Serge Gratton Thierry Giaccone 36 0 0 20 Feb 2025
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 37 2 0 12 Jan 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 22 0 09 Oct 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 29 4 0 06 Jun 2023
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 37 7 0 19 Sep 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 17 22 0 17 Jun 2022
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,549 0 17 Apr 2017