Rank-n-contrast: learning continuous representations for regression

K Zha, P Cao, J Son, Y Yang… - Advances in Neural …, 2024 - proceedings.neurips.cc
Deep regression models typically learn in an end-to-end fashion without explicitly
emphasizing a regression-aware representation. Consequently, the learned representations …
被引用次数：14 相关文章

Rank-N-Contrast: Learning Continuous Representations for Regression

K Zha, P Cao, J Son, Y Yang, D Katabi - Thirty-seventh Conference on … - openreview.net
Deep regression models typically learn in an end-to-end fashion without explicitly
emphasizing a regression-aware representation. Consequently, the learned representations …

Rank-N-contrast: learning continuous representations for regression

K Zha, P Cao, J Son, Y Yang, D Katabi - Proceedings of the 37th …, 2023 - dl.acm.org
Deep regression models typically learn in an end-to-end fashion without explicitly
emphasizing a regression-aware representation. Consequently, the learned representations …

Rank-N-Contrast: Learning Continuous Representations for Regression

K Zha, P Cao, J Son, Y Yang, D Katabi - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Deep regression models typically learn in an end-to-end fashion without explicitly
emphasizing a regression-aware representation. Consequently, the learned representations …