thegregyang / LossUpAccUpLinks
Loss and accuracy go opposite ways...right?
☆95Updated 5 years ago
Alternatives and similar repositories for LossUpAccUp
Users that are interested in LossUpAccUp are comparing it to the libraries listed below
Sorting:
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 2 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆151Updated 2 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆89Updated 4 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 6 years ago
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆112Updated 4 years ago
- Awesome Contrastive Learning for CV & NLP☆165Updated 4 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆167Updated 4 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆284Updated 2 years ago
- A minimal pytorch package implementing a gradient reversal layer.☆158Updated last year
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆190Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- PyTorch implementation of Pay Attention to MLPs☆40Updated 4 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Updated 5 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 5 years ago
- ☆81Updated last year
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆182Updated 3 years ago
- ☆96Updated 4 years ago
- Curriculum Learning related papers and materials☆53Updated 5 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- ☆47Updated 4 years ago