JohnGiorgi / compact-multi-head-self-attention-pytorch
A PyTorch implementation of the Compact Multi-Head Self-Attention Mechanism from the paper: "Low Rank Factorization for Compact Multi-Head Self-Attention"
☆25Updated 5 years ago
Alternatives and similar repositories for compact-multi-head-self-attention-pytorch
Users that are interested in compact-multi-head-self-attention-pytorch are comparing it to the libraries listed below
Sorting:
- Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".☆44Updated 3 years ago
- Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".☆25Updated 4 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- ☆36Updated 4 years ago
- Leveraging Local and Global Patterns for Self-Attention Networks☆12Updated 5 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆21Updated 5 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- ☆20Updated 5 years ago
- Implementation of Mogrifier LSTM in PyTorch☆35Updated 5 years ago
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- The implementation of multi-branch attentive Transformer (MAT).☆33Updated 4 years ago
- ☆14Updated 6 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆45Updated 4 years ago
- Code for EMNLP 2020 paper CoDIR☆41Updated 2 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated 9 months ago
- Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)☆43Updated 2 years ago
- Curriculum Learning related papers and materials☆54Updated 4 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 5 years ago
- code for EMNLP2018 paper 'Associative-multichannel-autoencoder for multimodal word representation'☆13Updated 6 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago