thegregyang / LossUpAccUp
Loss and accuracy go opposite ways...right?
☆92Updated 4 years ago
Alternatives and similar repositories for LossUpAccUp:
Users that are interested in LossUpAccUp are comparing it to the libraries listed below
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆91Updated 2 years ago
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆110Updated 3 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆186Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Awesome Contrastive Learning for CV & NLP☆162Updated 3 years ago
- A collection of awesome things about mixed sample data augmentation☆131Updated 4 years ago
- MoPro: Webly Supervised Learning☆87Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆136Updated 9 months ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆222Updated 4 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- Exploring Simple Siamese Representation Learning☆60Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆174Updated 3 years ago
- custom pytorch implementation of MoCo v3☆45Updated 4 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 9 months ago
- A minimal pytorch package implementing a gradient reversal layer.☆158Updated 5 months ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…☆48Updated 3 years ago
- ☆129Updated 2 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 4 years ago
- ☆92Updated 4 years ago