twinkle0331 / Xcompression
[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
☆22Updated last year
Alternatives and similar repositories for Xcompression:
Users that are interested in Xcompression are comparing it to the libraries listed below
- ☆14Updated 2 years ago
- ☆20Updated last year
- ☆33Updated 3 years ago
- Pytorch library for factorized L0-based pruning.☆44Updated last year
- This package implements THOR: Transformer with Stochastic Experts.☆62Updated 3 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
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated 2 years ago
- Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".☆65Updated 3 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆73Updated 4 years ago
- Staged Training for Transformer Language Models☆32Updated 2 years ago
- ☆30Updated last year
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆60Updated 2 years ago
- [NeurIPS 2022]MorphTE: Injecting Morphology in Tensorized Embeddings☆17Updated 2 years ago
- Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》☆23Updated 3 years ago
- Source code for COLING 2022 paper "Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models"☆24Updated 2 years ago
- ☆15Updated 3 years ago
- ☆52Updated 8 months ago
- ☆27Updated 5 years ago
- Code associated with the paper **SkipBERT: Efficient Inference with Shallow Layer Skipping**, at ACL 2022☆16Updated 2 years ago
- This repository is the official implementation of our EMNLP 2022 paper ELMER: A Non-Autoregressive Pre-trained Language Model for Efficie…☆26Updated 2 years ago
- ☆16Updated 3 years ago
- [NAACL 24 Oral] LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models☆32Updated 2 months ago
- [KDD'22] Learned Token Pruning for Transformers☆96Updated 2 years ago
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 2 years ago
- ☆19Updated 3 years ago
- ☆50Updated last year
- Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"☆46Updated 2 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆43Updated 2 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆103Updated 2 years ago