ChaofWang / L-GM_loss_pytorchLinks
Rethinking Feature Distribution for Loss Functions in Image Classification
☆41Updated 2 years ago
Alternatives and similar repositories for L-GM_loss_pytorch
Users that are interested in L-GM_loss_pytorch are comparing it to the libraries listed below
Sorting:
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- ☆57Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 6 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Implementation of our proposed algorithm in domain adaptation for image classification☆67Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 5 years ago
- AutoDIAL Caffe Implementation☆27Updated 8 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- The Pytorch Implementation of L-Softmax☆189Updated 7 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.