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PolyLoss: A Polynomial Expansion Perspective of Classification Loss
  Functions

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

26 April 2022
Zhaoqi Leng
Mingxing Tan
Chenxi Liu
E. D. Cubuk
Xiaojie Shi
Shuyang Cheng
Drago Anguelov
ArXivPDFHTML

Papers citing "PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions"

18 / 18 papers shown
Title
Enhancing Boundary Segmentation for Topological Accuracy with
  Skeleton-based Methods
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Chuni Liu
Boyuan Ma
Xiaojuan Ban
Yujie Xie
Hao Wang
Weihua Xue
Jingchao Ma
Ke Xu
46
4
0
29 Apr 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
Aaqib Saeed
Dimitris Spathis
Jungwoo Oh
Edward Choi
Ali Etemad
NoLa
31
2
0
25 Jan 2024
3D Medical Image Segmentation based on multi-scale MPU-Net
3D Medical Image Segmentation based on multi-scale MPU-Net
Zeqiu Yu
Shuo Han
Ziheng Song
3DV
14
3
0
11 Jul 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
32
6
0
15 Jun 2023
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge
  Distillation
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation
Rongzhi Zhang
Jiaming Shen
Tianqi Liu
Jia-Ling Liu
Michael Bendersky
Marc Najork
Chao Zhang
48
18
0
08 May 2023
Asymmetric Polynomial Loss For Multi-Label Classification
Asymmetric Polynomial Loss For Multi-Label Classification
Yusheng Huang
Jiexing Qi
Xinbing Wang
Zhouhan Lin
36
7
0
10 Apr 2023
Dynamics-Aware Loss for Learning with Label Noise
Dynamics-Aware Loss for Learning with Label Noise
Xiu-Chuan Li
Xiaobo Xia
Fei Zhu
Tongliang Liu
Xu-Yao Zhang
Cheng-Lin Liu
NoLa
AI4CE
35
6
0
21 Mar 2023
Smoothly Giving up: Robustness for Simple Models
Smoothly Giving up: Robustness for Simple Models
Tyler Sypherd
Nathan Stromberg
Richard Nock
Visar Berisha
Lalitha Sankar
21
1
0
17 Feb 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
38
5
0
30 Jan 2023
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
31
11
0
19 Sep 2022
YOLOv6: A Single-Stage Object Detection Framework for Industrial
  Applications
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Chuyin Li
Lu Li
Hongliang Jiang
Kaiheng Weng
Yifei Geng
...
Linyuan Zhou
Xiaoming Xu
Xiangxiang Chu
Xiaoming Wei
Xiaolin K. Wei
ObjD
51
1,701
0
07 Sep 2022
Domain Shift-oriented Machine Anomalous Sound Detection Model Based on
  Self-Supervised Learning
Domain Shift-oriented Machine Anomalous Sound Detection Model Based on Self-Supervised Learning
Jinghao Yan
Xin Wang
Qin Wang
Qin Qin
Huan Li
Pengyi Ye
Yue-ping He
Jing Zeng
34
1
0
31 Aug 2022
Explored An Effective Methodology for Fine-Grained Snake Recognition
Explored An Effective Methodology for Fine-Grained Snake Recognition
Yong Huang
Aderon Huang
Wei-wei Zhu
Yanming Fang
Jinghua Feng
22
1
0
24 Jul 2022
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Hai-Tao Zheng
Li Tao
Dun Liang
Haitao Zheng
85
97
0
07 Nov 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
35
30
0
24 Aug 2021
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation
  Losses
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses
Bingyuan Liu
Jose Dolz
Adrian Galdran
Riadh Kobbi
Ismail Ben Ayed
35
15
0
18 Apr 2021
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,400
0
04 Dec 2018
1