rickgroen / cov-weightingLinks
Implementation for our WACV 2021 paper "Multi-Loss Weighting with Coefficient of Variations"
☆50Updated 4 years ago
Alternatives and similar repositories for cov-weighting
Users that are interested in cov-weighting are comparing it to the libraries listed below
Sorting:
- Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)☆79Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 11 months ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- ☆58Updated 3 years ago
- Label de-noising for deep learning☆58Updated 5 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Updated 4 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- ☆53Updated 7 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- Multi-Label Learning from Single Positive Labels - CVPR 2021☆97Updated last year
- ☆66Updated 2 years ago
- Official Pytorch's implementation of RotoGrad☆79Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- pytorch implementation of manifold-mixup☆22Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆77Updated 2 years ago
- ☆46Updated 3 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆112Updated 3 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆117Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- Exploring Simple Siamese Representation Learning☆60Updated 4 years ago
- MoPro: Webly Supervised Learning☆87Updated 2 months ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago