Delving into Deep Imbalanced Regression

18 February 2021

Papers citing "Delving into Deep Imbalanced Regression"

21 / 21 papers shown

Title
The When and How of Target Variable Transformations Loren Nuyts Jesse Davis 26 0 0 29 Apr 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang Sizhe Wei Xiaoming Huo Hao Wang DiffM 100 0 0 20 Feb 2025
Improving Deep Regression with Tightness Shihao Zhang Yuguang Yan Angela Yao OOD 84 0 0 13 Feb 2025
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie Gongzheng Tang Shenda Hong 82 0 0 20 Nov 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Junrui Zhang Mozhgan Pourkeshavarz Amir Rasouli 42 3 0 18 Apr 2024
Gradient Aligned Regression via Pairwise Losses Dixian Zhu Tianbao Yang Livnat Jerby-Arnon 34 0 0 08 Feb 2024
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective Yihong Ma Xiaobao Huang B. Nan Nuno Moniz Xiangliang Zhang Olaf Wiest Nitesh V. Chawla 13 4 0 06 Feb 2024
High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 Nando Metzger Rodrigo Caye Daudt D. Tuia Konrad Schindler 13 5 0 23 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 24 17 0 30 Oct 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 18 5 0 25 Aug 2023
Data Augmentation for Imbalanced Regression Samuel Stocksieker Denys Pommeret Arthur Charpentier 20 8 0 18 Feb 2023
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques M. T. Isyapar Ufuk Uyan Mahiye Uluyagmur Öztürk 11 0 0 28 Dec 2022
Rank-N-Contrast: Learning Continuous Representations for Regression Kaiwen Zha Peng Cao Jeany Son Yuzhe Yang Dina Katabi CML 57 37 0 03 Oct 2022
WayFAST: Navigation with Predictive Traversability in the Field M. V. Gasparino A. N. Sivakumar Yixiao Liu A. E. B. Velasquez V. A. H. Higuti J. Rogers Huy T. Tran Girish Chowdhary 12 54 0 22 Mar 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 29 174 0 27 Nov 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 31 156 0 11 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model Ximei Wang Xinyang Chen Jianmin Wang Mingsheng Long 19 1 0 09 Oct 2021
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 11 24 0 07 Jul 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 229 445 0 28 Nov 2016