Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

50 / 326 papers shown

Title
Perceptual cGAN for MRI Super-resolution Sahar Almahfouz Nasser Saqib Nizam Shamsi Valay Bundele Bhavesh Garg A. Sethi GAN MedIm 22 10 0 23 Jan 2022
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation Chao Chen Yibing Zhan Baosheng Yu Liu Liu Yong Luo Bo Du 25 40 0 18 Jan 2022
Predicting Terrorist Attacks in the United States using Localized News Data Steven J. Krieg Christian W. Smith R. Chatterjee Nitesh V. Chawla OOD 16 5 0 12 Jan 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance Yin-Yin He Peizhen Zhang Xiu-Shen Wei X. Zhang Jian-jun Sun ISeg 21 24 0 08 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 14 67 0 04 Jan 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 11 25 0 16 Dec 2021
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning Zhecan Wang Haoxuan You Liunian Harold Li Alireza Zareian Suji Park Yiqing Liang Kai-Wei Chang Shih-Fu Chang ReLM LRM 15 30 0 16 Dec 2021
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness Lili Pan Mingming Meng Yazhou Ren Yali Zheng Zenglin Xu 15 1 0 13 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems Priyank Kalgaonkar M. El-Sharkawy 3DH 17 5 0 01 Dec 2021
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun J. Choi 15 146 0 01 Dec 2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 29 1 0 01 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 43 175 0 27 Nov 2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition Changyao Tian Wenhai Wang Xizhou Zhu Jifeng Dai Yu Qiao VLM 30 69 0 26 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge J. Belongie 68 279 0 11 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 32 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 59 52 0 06 Nov 2021
Convolutional Motif Kernel Networks Jonas C. Ditz Bernhard Reuter N. Pfeifer FAtt 10 2 0 03 Nov 2021
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 27 24 0 29 Oct 2021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning Pan Lu Liang Qiu Jiaqi Chen Tony Xia Yizhou Zhao Wei Zhang Zhou Yu Xiaodan Liang Song-Chun Zhu AIMat 39 183 0 25 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 15 90 0 20 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong S. Hoi VLM 28 13 0 19 Oct 2021
Metadata Shaping: Natural Language Annotations for the Tail Simran Arora Sen Wu Enci Liu Christopher Ré 19 0 0 16 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 31 156 0 11 Oct 2021
Long-tailed Distribution Adaptation Zhiliang Peng Wei Huang Zonghao Guo Xiaosong Zhang Jianbin Jiao QiXiang Ye 21 10 0 06 Oct 2021
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 101 28 0 21 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 18 99 0 20 Sep 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer Veysel Kocaman O. M. Shir T. Baeck 13 1 0 18 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets A. Timofeev Grigorios G. Chrysos V. Cevher OOD 25 5 0 17 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training Xudong Han Timothy Baldwin Trevor Cohn 24 39 0 16 Sep 2021
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data Wentai Wu Ligang He Weiwei Lin 9 0 0 14 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 19 3 0 11 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition Tianhao Li Limin Wang Gangshan Wu 45 101 0 09 Sep 2021
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts Ashutosh Baheti Maarten Sap Alan Ritter Mark O. Riedl 16 84 0 26 Aug 2021
Multimodal analysis of the predictability of hand-gesture properties Taras Kucherenko Rajmund Nagy Michael Neff Hedvig Kjellström G. Henter 34 22 0 12 Aug 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 26 51 0 31 Jul 2021
Fine-Grained Classroom Activity Detection from Audio with Neural Networks Eric Slyman Chris Daw Morgan Skrabut A. Usenko Brian Hutchinson HAI 14 5 0 29 Jul 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 29 16 0 28 Jul 2021
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 33 66 0 28 Jul 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 13 47 0 09 Jul 2021
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions S. A. Sheikh Md. Sahidullah F. Hirsch Slim Ouni 26 48 0 08 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 19 24 0 07 Jul 2021
Predicate correlation learning for scene graph generation Lei Tao Li Mi Nannan Li Xianhang Cheng Yaosi Hu Zhenzhong Chen 37 17 0 06 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification Peter Kulits J. Wall A. Bedetti M. Henley Sara Beery 24 20 0 29 Jun 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation Junjiao Tian Niluthpol Chowdhury Mithun Zachary Seymour Han-Pang Chiu Z. Kira 11 31 0 28 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan Rui Qiao Yao Xiao Jun Liu Sicong Leng H. Zhang Wei Lu 20 144 0 21 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 11 84 0 18 Jun 2021
Learning to Predict Visual Attributes in the Wild Khoi Pham Kushal Kafle Zhe-nan Lin Zhi Ding Scott D. Cohen Q. Tran Abhinav Shrivastava 16 107 0 17 Jun 2021
BABEL: Bodies, Action and Behavior with English Labels Abhinanda R. Punnakkal Arjun Chandrasekaran Nikos Athanasiou Alejandra Quiros-Ramirez Michael J. Black Max Planck Institute for Intelligent Systems 13 208 0 17 Jun 2021