YyzHarry / imbalanced-regressionLinks
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
☆888Updated 3 years ago
Alternatives and similar repositories for imbalanced-regression
Users that are interested in imbalanced-regression are comparing it to the libraries listed below
Sorting:
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆392Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆759Updated 4 years ago
- 😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库☆1,480Updated 6 months ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆279Updated 10 months ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆829Updated 3 years ago
- Research on Tabular Deep Learning: Papers & Packages☆1,046Updated 10 months ago
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆390Updated 4 months ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆685Updated 3 years ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆979Updated 6 months ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 3 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆786Updated 3 months ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆635Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,357Updated 2 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆719Updated 3 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆270Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,533Updated 3 months ago
- A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.☆1,034Updated last year
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,213Updated 2 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆46Updated 3 years ago
- 30 Semi-Supervised Learning Algorithms☆212Updated last year
- A curated list of awesome Active Learning☆775Updated 11 months ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,043Updated last year
- Deep Active Learning☆839Updated 2 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆199Updated 6 months ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架☆258Updated last year
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆365Updated 4 years ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,568Updated last week