XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCELinks
Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
☆30Updated 4 years ago
Alternatives and similar repositories for Improving-Mean-Absolute-Error-against-CCE
Users that are interested in Improving-Mean-Absolute-Error-against-CCE are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- ☆46Updated 2 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 6 years ago
- code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"☆27Updated 2 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- ☆42Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 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
- ☆93Updated 4 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.☆59Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 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