Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

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

50 / 1,005 papers shown

Title
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 Jun 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting Zhang-Wei Hong Pulkit Agrawal Rémi Tachet des Combes Romain Laroche OffRL 34 17 0 22 Jun 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 75 54 0 19 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 24 24 0 16 Jun 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization Yan Luo Yu Tian Minfei Shi Louis R. Pasquale Lucy Q. Shen Nazlee Zebardast T. Elze Mengyu Wang 39 18 0 15 Jun 2023
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
Enlarged Large Margin Loss for Imbalanced Classification S. Kato Kazuhiro Hotta 31 1 0 15 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 34 29 0 12 Jun 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 30 19 0 12 Jun 2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types Xinjie Wen Cuiyun Gao Feng Luo Hao Wang Ge Li Qing Liao 38 6 0 12 Jun 2023
Robust Learning with Progressive Data Expansion Against Spurious Correlation Yihe Deng Yu Yang Baharan Mirzasoleiman Quanquan Gu OOD MLT 29 24 0 08 Jun 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning Jianhong Bai Zuozhu Liu Hualiang Wang Jinxiang Hao Yang Feng Huanpeng Chu Haoji Hu OODD 44 16 0 08 Jun 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jun-Gyu Park Dong-Jun Han Soyeong Kim Jaekyun Moon OOD TTA 20 12 0 08 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 26 0 0 07 Jun 2023
Human-Object Interaction Prediction in Videos through Gaze Following Zhifan Ni Esteve Valls Mascaro Hyemin Ahn Dongheui Lee 30 10 0 06 Jun 2023
Active Inference-Based Optimization of Discriminative Neural Network Classifiers Faezeh Fallah 37 0 0 04 Jun 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation Yuchao Wang Jingjing Fei Haochen Wang Wei Li Tianpeng Bao Liwei Wu Rui Zhao Yujun Shen 39 25 0 03 Jun 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu-Xiang Wang 39 8 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 43 61 0 30 May 2023
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias Yu Yang Eric Gan Gintare Karolina Dziugaite Baharan Mirzasoleiman 29 25 0 30 May 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition Boran Han 25 7 0 30 May 2023
Improving Deep Representation Learning via Auxiliary Learnable Target Coding Kang Liu Ke Chen Yaowei Wang Kui Jia 29 0 0 30 May 2023
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition Marawan Elbatel Robert Martí Xuelong Li AAML 42 10 0 27 May 2023
Score-balanced Loss for Multi-aspect Pronunciation Assessment Heejin Do Yunsu Kim G. G. Lee 30 8 0 26 May 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem Naoya Hasegawa Issei Sato 27 6 0 26 May 2023
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments Thanh-Dat Truong Hoang-Quan Nguyen Bhiksha Raj Khoa Luu CLL 34 12 0 25 May 2023
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui Zhuotao Tian Zhisheng Zhong Xiaojuan Qi Bei Yu Hanwang Zhang 39 38 0 23 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning Wujian Peng Zejia Weng Hengduo Li Zuxuan Wu 30 0 0 22 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 44 19 0 22 May 2023
Semi-Supervised Graph Imbalanced Regression Gang Liu Tong Zhao Eric Inae Te Luo Meng Jiang 29 19 0 20 May 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization Zimeng Qiu Quanqi Hu Zhuoning Yuan Denny Zhou Lijun Zhang Tianbao Yang 34 17 0 19 May 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 30 90 0 19 May 2023
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems Miguel Lopez-Montiel Daniel Alejandro Lopez Oscar Montiel VLM SSeg 33 0 0 19 May 2023
Feature-Balanced Loss for Long-Tailed Visual Recognition Mengke Li Y. Cheung Juyong Jiang CVBM 37 13 0 18 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition Mengke Li Y. Cheung Yang Lu Zhikai Hu Weichao Lan Hui Huang 42 6 0 18 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 29 2 0 17 May 2023
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning Evelyn J. Mannix H. Bondell SSL 20 0 0 17 May 2023
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Fei Du Peng Yang Qi Jia Fengtao Nan Xiaoting Chen Yun Yang 36 46 0 15 May 2023
Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Burhaneddin Yaman Tanvir Mahmud Chun-Hao Liu 41 4 0 14 May 2023
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction Yinan Liu Xinyu Dong Weimin Lyu R. Rosenthal Rachel Wong Tengfei Ma Fusheng Wang 30 0 0 09 May 2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Peng Xia Di Xu Ming Hu Lie Ju Zongyuan Ge VLM 24 11 0 08 May 2023
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection Xin Shen Praful Agrawal Zhongwei Cheng 29 6 0 07 May 2023
Rethinking Class Imbalance in Machine Learning Ou Wu 41 10 0 06 May 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition Zhengzhuo Xu Zenghao Chai Chengying Xu Chun Yuan Haiqin Yang 24 4 0 05 May 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels Min-Kook Suh Seung-Woo Seo SSL 44 14 0 02 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 40 5 0 01 May 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani Shrinivas Ramasubramanian S. Takemori Kato Takashi Yuhei Umeda Venkatesh Babu Radhakrishnan 37 4 0 28 Apr 2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks Xiaoling Zhou Ou Wu OOD BDL CML 32 1 0 26 Apr 2023
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients Tucker Stewart Katherine Stern G. O’Keefe Ankur Teredesai Juhua Hu 24 0 0 25 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 26 6 0 25 Apr 2023