Striking the Right Balance with Uncertainty

22 January 2019

Salman Khan

Papers citing "Striking the Right Balance with Uncertainty"

47 / 47 papers shown

Title
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning Song Wang Zhongdao Wang Jiawei Yu Wentong Li Bailan Feng Junbo Chen Jianke Zhu UQCV 37 3 0 26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 33 1 0 23 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 46 0 0 09 Sep 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification S. SreeRamaVamsidhar Bhargava Satya Rama Krishna Sai Subrahmanyam Gorthi 25 1 0 06 Jul 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities Samyak Rawlekar Shubhang Bhatnagar Vishnuvardhan Pogunulu Srinivasulu Narendra Ahuja VLM 40 5 0 24 Apr 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation Qi Bi Shaodi You Theo Gevers 51 1 0 29 Mar 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 82 2 0 23 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 33 13 0 30 Oct 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis Divyam Madaan D. Sodickson K. Cho S. Chopra OOD MedIm 30 1 0 23 Jun 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 Jun 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 36 0 0 29 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 36 1 0 07 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 35 30 0 02 Feb 2023
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval Zhaopeng Dou Zhongdao Wang Weihua Chen Yali Li Shengjin Wang 27 15 0 24 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 42 7 0 19 Sep 2022
Learning Imbalanced Datasets with Maximum Margin Loss Haeyong Kang Thang Vu Chang D. Yoo 21 18 0 11 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 Jun 2022
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim Kwanghoon Sohn SSL 29 43 0 08 Apr 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 27 0 0 04 Apr 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-xiong Wang Deva Ramanan Shu Kong MQ 25 140 0 27 Mar 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 19 67 0 04 Jan 2022
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness Lili Pan Mingming Meng Yazhou Ren Yali Zheng Zenglin Xu 23 1 0 13 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
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 65 52 0 06 Nov 2021
Predicate correlation learning for scene graph generation Lei Tao Li Mi Nannan Li Xianhang Cheng Yaosi Hu Zhenzhong Chen 45 17 0 06 Jul 2021
FairCal: Fairness Calibration for Face Verification Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 30 20 0 07 Jun 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification Kevin Duarte Yogesh S Rawat M. Shah 39 15 0 22 May 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 48 57 0 21 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 21 76 0 06 Apr 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Osama Makansi Özgün Çiçek Yassine Marrakchi Thomas Brox 31 46 0 23 Mar 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 969 0 13 Dec 2020
Distribution-aware Margin Calibration for Medical Image Segmentation Zhibin Li Litao Yu Jian Zhang 19 1 0 03 Nov 2020
Synthesizing the Unseen for Zero-shot Object Detection Nasir Hayat Munawar Hayat Shafin Rahman Salman Khan Syed Waqas Zamir Fahad Shahbaz Khan VLM ObjD 184 57 0 19 Oct 2020
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models T. Wang Selen Pehlivan Jorma T. Laaksonen 29 34 0 18 Aug 2020
Meta Feature Modulator for Long-tailed Recognition Renzhen Wang Kaiqin Hu Yanwen Zhu Jun Shu Qian Zhao Deyu Meng 16 12 0 08 Aug 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 22 228 0 19 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 683 0 14 Jul 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 20 401 0 13 Jun 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML CVBM 25 74 0 22 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 17 220 0 01 Apr 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 32 99 0 06 Jan 2020
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 59 1,188 0 21 Oct 2019
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 243 446 0 28 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 250 921 0 03 Dec 2014