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Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
16 December 2021
Shiran Zada
Itay Benou
Michal Irani
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Papers citing
"Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images"
21 / 21 papers shown
Title
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany
Matthew Jagielski
Adam Dziedzic
Franziska Boenisch
88
0
0
17 Feb 2025
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
83
2
0
10 Feb 2025
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification
Kelsey Lieberman
Swarna Kamlam Ravindran
Shuai Yuan
Carlo Tomasi
OOD
35
0
0
04 Oct 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
Zitao Chen
Karthik Pattabiraman
MIACV
MLAU
AAML
MIALM
67
1
0
02 Jul 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach
Han Lu
Siyu Sun
Yichen Xie
Liqing Zhang
Xiaokang Yang
Junchi Yan
32
1
0
01 Mar 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions
Kelsey Lieberman
Shuai Yuan
Swarna Kamlam Ravindran
Carlo Tomasi
23
0
0
08 Feb 2024
Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification
Jiahuan Yan
Haojun Gao
Zhang Kai
Weize Liu
D. Z. Chen
Jian Wu
Jintai Chen
13
3
0
28 Nov 2023
Data-Centric Long-Tailed Image Recognition
Yanbiao Ma
Licheng Jiao
Fang Liu
Shuyuan Yang
Xu Liu
Puhua Chen
35
1
0
03 Nov 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
Yanbiao Ma
Licheng Jiao
Fang Liu
Shuyuan Yang
Xu Liu
Lingling Li
OOD
28
7
0
16 Oct 2023
Class Instance Balanced Learning for Long-Tailed Classification
Marc-Antoine Lavoie
Steven Waslander
40
0
0
11 Jul 2023
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
Mengke Li
Zhikai Hu
Yang Lu
Weichao Lan
Yiu-ming Cheung
Hui Huang
12
19
0
12 Jun 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
26
14
0
17 Feb 2023
Compound Batch Normalization for Long-tailed Image Classification
Lechao Cheng
Chaowei Fang
Dingwen Zhang
Guanbin Li
Gang Huang
43
11
0
02 Dec 2022
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition
Enhao Zhang
Chuanxing Geng
Songcan Chen
30
2
0
26 Jul 2022
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
87
132
0
06 Oct 2021
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Sanjiv Kumar
11
25
0
19 Jun 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
170
549
0
21 Jul 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
250
782
0
05 Dec 2019
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
237
446
0
28 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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