Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

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

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Title
FBNet: Feature Balance Network for Urban-Scene Segmentation Lei Gan Huabin Huang Banghuai Li Ye Yuan 10 1 0 05 Nov 2021
Convolutional Motif Kernel Networks Jonas C. Ditz Bernhard Reuter N. Pfeifer FAtt 40 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 37 24 0 29 Oct 2021
Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks V. A. Chhabria V. Ahuja Ashwath Prabhu Nikhil Patil Palkesh Jain S. Sapatnekar 8 2 0 27 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 41 184 0 25 Oct 2021
Prototypical Classifier for Robust Class-Imbalanced Learning Tong Wei Jiang-Xin Shi Yu-Feng Li Min-Ling Zhang NoLa 11 16 0 22 Oct 2021
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 14 11 0 20 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 24 90 0 20 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models A. S. Rawat Manzil Zaheer A. Menon Amr Ahmed Sanjiv Kumar 25 7 0 19 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong Guosheng Lin VLM 36 13 0 19 Oct 2021
Tackling the Imbalance for GNNs Rui Wang Weixuan Xiong Qing-Hu Hou Ou Wu 57 6 0 17 Oct 2021
Metadata Shaping: Natural Language Annotations for the Tail Simran Arora Sen Wu Enci Liu Christopher Ré 38 0 0 16 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu Fangyun Wei Han Hu Qiwei Ye J. Cui Liwei Wang 28 153 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 43 157 0 11 Oct 2021
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 32 17 0 11 Oct 2021
Label-Occurrence-Balanced Mixup for Long-tailed Recognition Shaoyu Zhang Chen Chen Xiujuan Zhang Silong Peng 21 7 0 11 Oct 2021
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems Dong Chen Yuzhen Lu Zhao Li Sierra N. Young 24 97 0 11 Oct 2021
BuildingNet: Learning to Label 3D Buildings Pratheba Selvaraju Mohamed Nabail Marios Loizou Maria I. Maslioukova Melinos Averkiou Andreas C. Andreou S. Chaudhuri E. Kalogerakis 3DV 3DPC AI4CE 33 39 0 11 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 23 561 0 09 Oct 2021
Class-Balanced Active Learning for Image Classification Javad Zolfaghari Bengar Joost van de Weijer Laura Lopez-Fuentes Bogdan Raducanu 11 22 0 09 Oct 2021
Collaging Class-specific GANs for Semantic Image Synthesis Yuheng Li Yijun Li Jingwan Lu Eli Shechtman Yong Jae Lee Krishna Kumar Singh 17 31 0 08 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Long-tailed Distribution Adaptation Zhiliang Peng Wei Huang Zonghao Guo Xiaosong Zhang Jianbin Jiao QiXiang Ye 29 10 0 06 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 132 0 06 Oct 2021
Learning to Predict Trustworthiness with Steep Slope Loss Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao 21 12 0 30 Sep 2021
Grounding Predicates through Actions Toki Migimatsu Jeannette Bohg 150 33 0 29 Sep 2021
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy Grading on Small Data Lei Shi Bin Wang Junxing Zhang 30 0 0 24 Sep 2021
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 109 28 0 21 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 31 100 0 20 Sep 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer Veysel Kocaman O. M. Shir T. Baeck 18 1 0 18 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets A. Timofeev Grigorios G. Chrysos V. Cevher OOD 37 5 0 17 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training Xudong Han Timothy Baldwin Trevor Cohn 26 39 0 16 Sep 2021
Overview of Tencent Multi-modal Ads Video Understanding Challenge Zhenzhi Wang Liyu Wu Zhimin Li Jiangfeng Xiong Qinglin Lu 32 4 0 16 Sep 2021
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data Wentai Wu Ligang He Weiwei Lin 21 0 0 14 Sep 2021
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission Shinhyeok Oh Sion Jang Hu Xu Shounan An Insoo Oh 19 11 0 14 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 27 3 0 11 Sep 2021
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution Yi Huang Buse Giledereli Abdullatif Köksal Arzucan Özgür Elif Özkirimli VLM 44 77 0 10 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition Tianhao Li Limin Wang Gangshan Wu 45 101 0 09 Sep 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection Shulai Zhang Zirui Li Quan Chen Wenli Zheng Jingwen Leng Minyi Guo FedML 59 32 0 08 Sep 2021
Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth Chongyang Wang Yuan Gao Chenyou Fan Junjie Hu Tin Lun Lam Nicholas D. Lane N. Bianchi-Berthouze 16 3 0 08 Sep 2021
Learning Fast Sample Re-weighting Without Reward Data Zizhao Zhang Tomas Pfister 36 74 0 07 Sep 2021
On-target Adaptation Dequan Wang Shaoteng Liu Sayna Ebrahimi Evan Shelhamer Trevor Darrell TTA 34 19 0 02 Sep 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition Chi Zhang Guosheng Lin Lvlong Lai Henghui Ding Qingyao Wu 31 1 0 29 Aug 2021
Representation Memorization for Fast Learning New Knowledge without Forgetting Fei Mi Tao R. Lin Boi Faltings CLL 19 0 0 28 Aug 2021
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts Ashutosh Baheti Maarten Sap Alan Ritter Mark O. Riedl 26 84 0 26 Aug 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 30 50 0 26 Aug 2021
Learning From Long-Tailed Data With Noisy Labels Shyamgopal Karthik Jérôme Revaud Boris Chidlovskii SSL NoLa 22 27 0 25 Aug 2021
Towards Balanced Learning for Instance Recognition Jiangmiao Pang Kai-xiang Chen Qi Li Zhi-hai Xu H. Feng Jianping Shi Wanli Ouyang Dahua Lin ObjD 27 22 0 23 Aug 2021
Learning of Visual Relations: The Devil is in the Tails Alakh Desai Tz-Ying Wu Subarna Tripathi Nuno Vasconcelos 23 86 0 22 Aug 2021
A Conditional Cascade Model for Relational Triple Extraction Feiliang Ren Longhui Zhang Shujuan Yin Xiaofeng Zhao Shilei Liu Bochao Li 16 7 0 20 Aug 2021