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:
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 3 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆170Updated 4 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 6 years ago
- Awesome Contrastive Learning for CV & NLP☆165Updated 4 years ago
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆112Updated 4 years ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆182Updated 4 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 4 years ago
- Implementation of Sparsemax activation in Pytorch☆166Updated 5 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆285Updated 2 years ago
- pytorch implement of Lookahead Optimizer☆195Updated 3 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 5 years ago
- PyTorch implementation of Pay Attention to MLPs☆40Updated 4 years ago
- A minimal pytorch package implementing a gradient reversal layer.☆158Updated last year
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆71Updated 5 years ago
- ☆82Updated last year
- The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…☆48Updated 4 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆228Updated 3 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 5 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆120Updated 4 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 6 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- ☆81Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 4 years ago