PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
☆29Jan 26, 2021Updated 5 years ago
Alternatives and similar repositories for Super-Loss
Users that are interested in Super-Loss are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆23Aug 23, 2020Updated 6 years ago
- Energy-based Out-of-distribution Detection☆17Dec 23, 2020Updated 5 years ago
- ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise☆15May 1, 2021Updated 5 years ago
- An PyTorch reimplementation of bottom-up-attention models☆16Jan 5, 2021Updated 5 years ago
- ☆15Dec 12, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Dec 23, 2019Updated 6 years ago
- EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330☆15Sep 1, 2021Updated 5 years ago
- Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.☆21Oct 12, 2020Updated 6 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆53Nov 27, 2020Updated 5 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Nov 23, 2021Updated 4 years ago
- Listwise Learning to Rank by Exploring Unique Ratings (WSDM 2020)☆13Nov 2, 2025Updated 11 months ago
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 7 years ago
- Code for "Abandon locality: Frame-wise Embedding Aided Transformer for Automatic Modulation Recognition"☆25Sep 6, 2022Updated 4 years ago
- ☆39Aug 26, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Self-Distribution BNN☆10Mar 8, 2022Updated 4 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 4 years ago
- Meta Label Correction for Noisy Label Learning☆87Sep 28, 2022Updated 4 years ago
- Official code for "Dynamic Token Normalization Improves Vision Transformer", ICLR 2022.☆29May 22, 2022Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆302May 22, 2023Updated 3 years ago
- ☆14Feb 18, 2023Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- ☆10Nov 15, 2023Updated 2 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆120Feb 13, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- MoEx (Moment Exchange)☆140Jun 24, 2021Updated 5 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆26May 2, 2018Updated 8 years ago
- 针对CN-Celeb数据集的基于ECAPA-TDNN的说话人识别的pytorch实现☆13Apr 3, 2023Updated 3 years ago
- ☆34Jul 17, 2026Updated 2 months ago
- noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.☆59Aug 7, 2022Updated 4 years ago
- ☆15Apr 25, 2023Updated 3 years ago
- [FGVC9-CVPR 2022] The second place solution for 2nd eBay eProduct Visual Search Challenge.☆26Aug 9, 2022Updated 4 years ago
- Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.☆11Feb 6, 2021Updated 5 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆70Mar 30, 2021Updated 5 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆18Oct 8, 2024Updated 2 years ago
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆18Mar 3, 2023Updated 3 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆25Dec 29, 2021Updated 4 years ago
- ☆14Oct 6, 2019Updated 7 years ago
- 中科大2022春《深度学习导论》课程资源☆10Aug 7, 2022Updated 4 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- ☆15Jul 29, 2023Updated 3 years ago