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Understanding Square Loss in Training Overparametrized Neural Network
  Classifiers

Understanding Square Loss in Training Overparametrized Neural Network Classifiers

7 December 2021
Tianyang Hu
Jun Wang
Wenjia Wang
Zhenguo Li
    UQCV
    AAML
ArXivPDFHTML

Papers citing "Understanding Square Loss in Training Overparametrized Neural Network Classifiers"

14 / 14 papers shown
Title
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
Nathanael Tepakbong
Ding-Xuan Zhou
Xiang Zhou
36
0
0
13 May 2025
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Farhad Pourkamali-Anaraki
OOD
UQCV
51
0
0
16 Mar 2025
Generalization of Scaled Deep ResNets in the Mean-Field Regime
Generalization of Scaled Deep ResNets in the Mean-Field Regime
Yihang Chen
Fanghui Liu
Yiping Lu
Grigorios G. Chrysos
V. Cevher
35
2
0
14 Mar 2024
The Optimality of Kernel Classifiers in Sobolev Space
The Optimality of Kernel Classifiers in Sobolev Space
Jianfa Lai
Zhifan Li
Dongming Huang
Qian Lin
27
1
0
02 Feb 2024
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper
  Complexity Measure for Classification
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
Paweł Piwek
Adam Klukowski
Tianyang Hu
11
5
0
15 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline
Revisiting and Advancing Adversarial Training Through A Simple Baseline
Hong Liu
AAML
26
0
0
13 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain
  Generalization
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
Yimeng Chen
Tianyang Hu
Fengwei Zhou
Zhenguo Li
Zhiming Ma
20
12
0
05 Jun 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning
  Benchmarks
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li
Miao Xiong
Bryan Hooi
13
7
0
30 May 2023
From Tempered to Benign Overfitting in ReLU Neural Networks
From Tempered to Benign Overfitting in ReLU Neural Networks
Guy Kornowski
Gilad Yehudai
Ohad Shamir
20
12
0
24 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning
Random Smoothing Regularization in Kernel Gradient Descent Learning
Liang Ding
Tianyang Hu
Jiahan Jiang
Donghao Li
Wenjia Wang
Yuan Yao
20
6
0
05 May 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
22
27
0
24 Feb 2023
Optimal Convergence Rates of Deep Neural Networks in a Classification
  Setting
Optimal Convergence Rates of Deep Neural Networks in a Classification Setting
Josephine T. Meyer
24
2
0
25 Jul 2022
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision
  Boundary
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
Tianyang Hu
Ruiqi Liu
Zuofeng Shang
Guang Cheng
22
3
0
04 Jul 2022
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
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
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