cheneydon / efficient-bertLinks
This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
☆32Updated last year
Alternatives and similar repositories for efficient-bert
Users that are interested in efficient-bert are comparing it to the libraries listed below
Sorting:
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 2 years ago
- Code for EMNLP 2020 paper CoDIR☆41Updated 2 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
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- ☆16Updated 4 years ago
- [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …☆18Updated 3 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 4 years ago
- Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"☆47Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆50Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- ☆13Updated 3 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- A supplementary code for Editable Neural Networks, an ICLR 2020 submission.☆46Updated 5 years ago
- LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)☆18Updated 2 years ago
- ☆22Updated 4 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆74Updated 2 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- Implementation of Multistream Transformers in Pytorch☆54Updated 3 years ago
- ☆24Updated 3 years ago
- Block Sparse movement pruning☆79Updated 4 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆73Updated 4 years ago
- The implementation of multi-branch attentive Transformer (MAT).☆33Updated 4 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- [EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing☆14Updated 2 years ago
- ☆15Updated 3 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆119Updated 3 years ago
- Code for the PAPA paper☆27Updated 2 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆58Updated 4 years ago
- Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022☆37Updated 2 years ago