Rank-based Decomposable Losses in Machine Learning: A Survey

18 July 2022

Papers citing "Rank-based Decomposable Losses in Machine Learning: A Survey"

27 / 27 papers shown

Title
Improving Generalization of Medical Image Registration Foundation Model Jing Hu Kaiwei Yu Hongjiang Xian Shu Hu Xin Wang MedIm 21 0 0 10 May 2025
Robust Fairness Vision-Language Learning for Medical Image Analysis Sparsh Bansal Mingyang Wu Xin Wang S. Hu VLM 36 0 0 06 May 2025
Robust AI-Generated Face Detection with Imbalanced Data Yamini Sri Krubha Aryana Hou Braden Vester Web Walker X. Wang Li Lin Shu Hu 27 0 0 04 May 2025
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation Xin Wang Xiaoyu Liu Peng Huang Pu Huang Shu Hu Hongtu Zhu UQCV 60 0 0 20 Jan 2025
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation Ting Yu Tsai Li Lin Shu Hu Connie W. Tsao Xin Li Ming-Ching Chang Hongtu Zhu Xin Wang Mamba 31 1 0 22 Sep 2024
Fairness in Survival Analysis with Distributionally Robust Optimization Shu Hu George H. Chen 29 4 0 31 Aug 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection Peng Huang Shu Hu Bo Peng Jiashu Zhang Xi Wu Xin Wang 20 5 0 25 Jun 2024
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images Santosh Li Lin Irene Amerini Xin Eric Wang Shu Hu 42 10 0 19 Apr 2024
Robust Light-Weight Facial Affective Behavior Recognition with CLIP Li Lin Sarah Papabathini Xin Eric Wang Shu Hu CVBM 33 14 0 14 Mar 2024
Robust COVID-19 Detection in CT Images with CLIP Li Lin Yamini Sri Krubha Zhenhuan Yang Cheng Ren Thuc Duy Le Irene Amerini Xin Eric Wang Shu Hu 13 10 0 13 Mar 2024
Preserving Fairness Generalization in Deepfake Detection Li Lin Xinan He Yan Ju Xin Eric Wang Feng Ding Shu Hu 37 32 0 27 Feb 2024
Neural Radiance Fields in Medical Imaging: A Survey Xin Wang Shu Hu Heng Fan Hongtu Zhu Hongtu Zhu Xin Li MedIm 22 1 0 26 Feb 2024
Criterion Collapse and Loss Distribution Control Matthew J. Holland 8 2 0 15 Feb 2024
Masked Conditional Diffusion Model for Enhancing Deepfake Detection Tiewen Chen Shanmin Yang Shu Hu Zhenghan Fang Ying Fu Xi Wu Xin Wang DiffM 11 2 0 01 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models Yicui Peng Hao Chen C. Lin Guo Huang Jinrong Hu Hui Guo Bin Kong Shu Hu Xi Wu Xin Wang LRM 39 8 0 31 Jan 2024
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields Jing Hu Qinrui Fan Shu Hu Siwei Lyu Xi Wu Xin Wang 8 11 0 10 Nov 2023
Outlier Robust Adversarial Training Shu Hu Zhenhuan Yang X. Wang Yiming Ying Siwei Lyu AAML 13 9 0 10 Sep 2023
Improving Fairness in Deepfake Detection Yan Ju Shu Hu Shan Jia George H. Chen Siwei Lyu 10 30 0 29 Jun 2023
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation Hao Chen Peng Zheng Xin Wang Shu Hu Bin Zhu Jinrong Hu Xi Wu Siwei Lyu 12 4 0 19 Apr 2023
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 16 1 0 27 Jan 2023
Attacking Important Pixels for Anchor-free Detectors Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu ObjD AAML 25 2 0 26 Jan 2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics Shu Hu George H. Chen 9 13 0 18 Nov 2022
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 17 4 0 11 Oct 2021
On Tilted Losses in Machine Learning: Theory and Applications Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 47 38 0 13 Sep 2021
No Regret Sample Selection with Noisy Labels H. Song N. Mitsuo S. Uchida D. Suehiro NoLa 10 5 0 06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014