Rank-N-Contrast: Learning Continuous Representations for Regression

3 October 2022

Papers citing "Rank-N-Contrast: Learning Continuous Representations for Regression"

27 / 27 papers shown

Title
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss D. Pitawela Gustavo Carneiro Hsiang-Ting Chen 41 0 0 22 Apr 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution Songran Bai Yuheng Ji Yue Liu Xingwei Zhang Xiaolong Zheng D. Zeng 38 0 0 01 Apr 2025
Improve Representation for Imbalanced Regression through Geometric Constraints Zijian Dong Yilei Wu Chongyao Chen Yingtian Zou Yichi Zhang Juan Helen Zhou 34 0 0 02 Mar 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression Botao Zhao Xiaoyang Qu Zuheng Kang Junqing Peng Jing Xiao Jianzong Wang 33 0 0 13 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 33 0 0 10 Jan 2025
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment Li Kewei Zhou Hengshun Shen Kai Dai Yusheng Du Jun 31 1 0 31 Dec 2024
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation Pengwei Yin Jingjing Wang Guanzhong Zeng Di Xie Jiang Zhu 21 3 0 13 Nov 2024
JEMA: A Joint Embedding Framework for Scalable Co-Learning with Multimodal Alignment Joao Sousa Roya Darabi A. A. Sousa Frank Brueckner Luís Paulo Reis Ana Reis 16 1 0 31 Oct 2024
Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion Aiman Farooq Utkarsh Sharma Deepak Mishra 17 0 0 29 Oct 2024
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention Yuzhe Weng Haotian Wang Tian Gao Kewei Li Shutong Niu Jun Du 28 0 0 19 Oct 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning Dongjoon Lee Hyeryn Park Changhee Lee 11 0 0 15 Oct 2024
Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction Zhizhen Zhang Ruihong Qiu Xiaohui Xie 11 0 0 12 Oct 2024
SCOREQ: Speech Quality Assessment with Contrastive Regression Alessandro Ragano Jan Skoglund Andrew Hines 19 6 0 09 Oct 2024
DiSPo: Diffusion-SSM based Policy Learning for Coarse-to-Fine Action Discretization Nayoung Oh Jaehyeong Jang Moonkyeong Jung Daehyung Park 49 0 0 23 Sep 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos Jayroop Ramesh Nicola K. Dinsdale INTERGROWTH-21 Consortium P. Yeung Ana I. L. Namburete MedIm 19 3 0 21 May 2024
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes Ivica Obadic Alex Levering Lars Pennig Dario Augusto Borges Oliveira Diego Marcos Xiaoxiang Zhu 34 0 0 15 Apr 2024
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast Numan Saeed Muhammad Ridzuan F. Maani Hussain Alasmawi Karthik Nandakumar Mohammad Yaqub SSL 30 1 0 15 Mar 2024
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis F. Maani Numan Saeed Aleksandr Matsun Mohammad Yaqub SyDa 35 3 0 15 Mar 2024
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives Mark Karlov Ali Abedi Shehroz S. Khan 37 3 0 05 Mar 2024
Gradient Aligned Regression via Pairwise Losses Dixian Zhu Tianbao Yang Livnat Jerby-Arnon 21 0 0 08 Feb 2024
CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision Kun Li Wenbin Hu MedIm 11 1 0 17 Dec 2023
ConR: Contrastive Regularizer for Deep Imbalanced Regression Mahsa Keramati Lili Meng R. D. Evans 8 9 0 13 Sep 2023
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance Yuqian Chen L. Zekelman Chaoyi Zhang Tengfei Xue Yang Song ... Yogesh Rathi A. Golby Weidong (Tom) Cai Fan Zhang L. O’Donnell 14 11 0 08 Jul 2023
SimPer: Simple Self-Supervised Learning of Periodic Targets Yuzhe Yang Xin Liu Jiang Wu Silviu Borac Dina Katabi M. Poh Daniel J. McDuff 41 45 0 06 Oct 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 172 1,687 0 06 Jun 2018