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
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission Shinhyeok Oh Sion Jang Hu Xu Shounan An Insoo Oh 53 11 0 14 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 94 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 108 82 0 10 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition Tianhao Li Limin Wang Gangshan Wu 93 103 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 83 35 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 39 3 0 08 Sep 2021
Learning Fast Sample Re-weighting Without Reward Data Zizhao Zhang Tomas Pfister 80 76 0 07 Sep 2021
On-target Adaptation Dequan Wang Shaoteng Liu Sayna Ebrahimi Evan Shelhamer Trevor Darrell TTA 92 19 0 02 Sep 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition Fangqiu Yi Guosheng Lin Lvlong Lai Henghui Ding Qingyao Wu 72 1 0 29 Aug 2021
Representation Memorization for Fast Learning New Knowledge without Forgetting Fei Mi Tao R. Lin Boi Faltings CLL 121 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 92 91 0 26 Aug 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 97 50 0 26 Aug 2021
Learning From Long-Tailed Data With Noisy Labels Shyamgopal Karthik Jérôme Revaud Boris Chidlovskii SSL NoLa 88 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 121 22 0 23 Aug 2021
Learning of Visual Relations: The Devil is in the Tails Alakh Desai Tz-Ying Wu Subarna Tripathi Nuno Vasconcelos 123 90 0 22 Aug 2021
A Conditional Cascade Model for Relational Triple Extraction Feiliang Ren Longhui Zhang Shujuan Yin Xiaofeng Zhao Shilei Liu Bochao Li 35 7 0 20 Aug 2021
Multimodal analysis of the predictability of hand-gesture properties Taras Kucherenko Rajmund Nagy Michael Neff Hedvig Kjellström G. Henter 74 22 0 12 Aug 2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot Jiarui Cai Yizhou Wang Lei Li OODD 124 140 0 05 Aug 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 111 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 61 5 0 29 Jul 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 86 16 0 28 Jul 2021
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 192 73 0 28 Jul 2021
Parametric Contrastive Learning Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu Jiaya Jia 100 282 0 26 Jul 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Yifan Zhang Bryan Hooi Lanqing Hong Jiashi Feng 88 133 0 20 Jul 2021
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition Hao Chang Guochen Xie Jun Yu Q. Ling 40 0 0 14 Jul 2021
Learning from Crowds with Sparse and Imbalanced Annotations Ye Shi Shao-Yuan Li Sheng-Jun Huang 64 6 0 11 Jul 2021
Training Over-parameterized Models with Non-decomposable Objectives Harikrishna Narasimhan A. Menon 73 13 0 09 Jul 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 70 48 0 09 Jul 2021
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions S. A. Sheikh Md. Sahidullah F. Hirsch Slim Ouni 89 50 0 08 Jul 2021
Investigate the Essence of Long-Tailed Recognition from a Unified Perspective Lei Liu Li Liu 46 0 0 08 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 120 26 0 07 Jul 2021
Predicate correlation learning for scene graph generation Lei Tao Li Mi Nannan Li Xianhang Cheng Yaosi Hu Zhenzhong Chen 101 19 0 06 Jul 2021
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering Huafeng Yang Qijie Shen Xingjian Chen Fangyi Zhang R. Du CVBM 78 0 0 06 Jul 2021
MSE Loss with Outlying Label for Imbalanced Classification S. Kato Kazuhiro Hotta 25 11 0 06 Jul 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation Tai-Yu Pan Cheng Zhang Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao 161 47 0 05 Jul 2021
WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays Peeyush Kumar Ayushe Gangal Sunita Kumari 55 1 0 03 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 105 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 73 22 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 77 35 0 28 Jun 2021
Image Classification with CondenseNeXt for ARM-Based Computing Platforms Priyank Kalgaonkar M. El-Sharkawy 35 2 0 26 Jun 2021
Image-to-Image Translation of Synthetic Samples for Rare Classes Edoardo Lanzini Sara Beery 41 3 0 23 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan Rui Qiao Yao Xiao Jun Liu Sicong Leng H. Zhang Wei Lu 114 145 0 21 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 80 25 0 19 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 91 87 0 18 Jun 2021
Learning to Predict Visual Attributes in the Wild Khoi Pham Kushal Kafle Zhe Lin Zhi Ding Scott D. Cohen Q. Tran Abhinav Shrivastava 54 114 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 132 218 0 17 Jun 2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data Arpit Bansal Micah Goldblum Valeriia Cherepanova Avi Schwarzschild C. Bayan Bruss Tom Goldstein 56 9 0 17 Jun 2021
Keyframe-Focused Visual Imitation Learning Chuan Wen Jierui Lin Jianing Qian Yang Gao Dinesh Jayaraman VGen 81 19 0 11 Jun 2021
Conterfactual Generative Zero-Shot Semantic Segmentation Feihong Shen Jun Liu Ping Hu BDL 115 9 0 11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 131 65 0 10 Jun 2021