AvivNavon / AuxiLearnLinks
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
☆84Updated 10 months ago
Alternatives and similar repositories for AuxiLearn
Users that are interested in AuxiLearn are comparing it to the libraries listed below
Sorting:
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Official Pytorch's implementation of RotoGrad☆78Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆143Updated 2 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Pretrained SimCLRv2 models in Pytorch☆105Updated 4 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆33Updated 5 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 5 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- ☆58Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆128Updated 3 years ago
- ☆95Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆92Updated 2 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago