konstantinkobs / SimLossLinks
A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"
☆25Updated 4 years ago
Alternatives and similar repositories for SimLoss
Users that are interested in SimLoss are comparing it to the libraries listed below
Sorting:
- ☆53Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 6 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 6 years ago
- ☆42Updated 4 years ago
- ☆23Updated 4 years ago
- ☆13Updated 5 years ago
- Sampling Matters in Deep Embedding Learning (ICCV'17)☆16Updated 6 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆62Updated 5 years ago
- An open-source project for long-tail classification☆39Updated 3 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆42Updated 4 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆43Updated 4 years ago
- Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)☆79Updated 2 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- code scripts for blog posts I published☆13Updated 5 years ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆66Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆23Updated 5 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 5 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆58Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆16Updated 4 years ago