brianlan / pytorch-grad-norm
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
☆244Updated 2 years ago
Related projects: ⓘ
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆565Updated 4 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆165Updated 2 years ago
- ☆144Updated 2 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆537Updated 2 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆297Updated 3 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆759Updated 2 years ago
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆363Updated 2 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆202Updated 4 months ago
- A list of multi-task learning papers and projects.☆359Updated 2 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆665Updated 2 years ago
- PyTorch implementation of the GradNorm☆61Updated 2 weeks ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆81Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆976Updated 2 weeks ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆128Updated last year
- Code for "Gradient Surgery for Multi-Task Learning"☆299Updated 4 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆183Updated 2 years ago
- Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained…☆201Updated 11 months ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆443Updated last year
- Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task☆43Updated 2 years ago
- An up-to-date list of works on Multi-Task Learning☆268Updated 2 months ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆560Updated last month
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆839Updated 4 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆110Updated 3 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆450Updated 4 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆468Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆938Updated 2 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆358Updated 2 years ago
- Multi-head attention in PyTorch☆146Updated 5 years ago
- A collection of awesome things about mixed sample data augmentation☆130Updated 4 years ago
- CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522☆243Updated last year