oxcsaml2019 / multitask-learning
☆17Updated 5 years ago
Alternatives and similar repositories for multitask-learning:
Users that are interested in multitask-learning are comparing it to the libraries listed below
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 5 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- ☆130Updated 2 years ago
- self-supervised domain adaptation☆49Updated 5 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ☆69Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 5 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆106Updated 4 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 3 years ago
- Implementations of knowledge distillation and knowledge transfer models in neural networks.☆22Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆29Updated 6 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆136Updated 8 months ago
- ☆60Updated 4 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)☆237Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆81Updated 11 months ago
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆35Updated 2 years ago
- MoEx (Moment Exchange)☆142Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 8 months ago
- [CVPR 2018] Feedback-prop: Convolutional Neural Network Inference under Partial Evidence☆14Updated 6 years ago