brianlan / pytorch-grad-normLinks
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
☆269Updated 2 years ago
Alternatives and similar repositories for pytorch-grad-norm
Users that are interested in pytorch-grad-norm are comparing it to the libraries listed below
Sorting:
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆178Updated 3 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆619Updated 4 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆554Updated 3 years ago
- ☆146Updated 3 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆89Updated 5 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆704Updated 3 years ago
- PyTorch implementation of the GradNorm☆95Updated 8 months ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆814Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆344Updated 3 years ago
- A list of multi-task learning papers and projects.☆371Updated 3 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆135Updated 2 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,035Updated 9 months ago
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆387Updated 2 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆223Updated last year
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆859Updated 4 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆323Updated 5 years ago
- CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522☆250Updated 2 years ago
- Multi-head attention in PyTorch☆152Updated 6 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆466Updated 5 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Updated 4 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf☆323Updated 10 months ago
- Awesome Multitask Learning Resources☆665Updated 4 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆130Updated 6 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆568Updated 9 months ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆750Updated 5 months ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆76Updated 4 years ago
- [TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"☆307Updated 10 months ago