BAI-Yeqi / Statistical-Properties-of-Dot-ProductLinks
☆17Updated 4 years ago
Alternatives and similar repositories for Statistical-Properties-of-Dot-Product
Users that are interested in Statistical-Properties-of-Dot-Product are comparing it to the libraries listed below
Sorting:
- 基于Gated Attention Unit的Transformer模型(尝鲜版)☆98Updated 2 years ago
- A Tight-fisted Optimizer☆50Updated 2 years ago
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆87Updated 2 years ago
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 4 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆198Updated 2 years ago
- Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》☆25Updated 3 years ago
- [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)☆126Updated last year
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).