AvivNavon / AuxiLearnLinks
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
☆86Updated last year
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☆114Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆94Updated 2 years 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
- Whitening for Self-Supervised Representation Learning | Official repository☆131Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- ☆83Updated last year
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 5 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- ☆57Updated 3 years ago
- MoCo with Alignment and Uniformity Loss.☆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)☆144Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Updated 3 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆177Updated 3 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆119Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆79Updated last year