oscarkey / multitask-learningLinks
MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla
☆91Updated 6 years ago
Alternatives and similar repositories for multitask-learning
Users that are interested in multitask-learning are comparing it to the libraries listed below
Sorting:
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 4 years ago
- Dynamic convolution Paper collection.☆107Updated 5 years ago
- Multi-task learning for image classification implemented in PyTorch.☆99Updated 7 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆106Updated 4 years ago
- [ICCV 2021] Influence-balanced Loss for Imbalanced Visual Classification☆102Updated 3 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- This is the PyTorch implementation of Double Attention Network, NIPS 2018☆32Updated 6 years ago
- ☆148Updated 3 years ago
- KSSNet: Multi-Label Classification with Label Graph Superimposing☆60Updated 5 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021☆128Updated 4 years ago
- The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021☆81Updated 3 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago
- paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code☆78Updated 3 years ago
- pytorch implement of Label Smoothing☆32Updated 5 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆76Updated 2 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆109Updated 5 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 3 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆75Updated 5 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- A reimplementation of the SKNet(Selective Kernel Networks) by pytorch☆70Updated 6 years ago
- PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020…☆31Updated 4 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Updated 5 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆176Updated 3 years ago