lancopku / Explicit-Sparse-TransformerLinks
code for Explicit Sparse Transformer
☆61Updated 2 years ago
Alternatives and similar repositories for Explicit-Sparse-Transformer
Users that are interested in Explicit-Sparse-Transformer are comparing it to the libraries listed below
Sorting:
- For paper《Gaussian Transformer: A Lightweight Approach for Natural Language Inference》☆28Updated 5 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 5 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- ☆33Updated 4 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- Mixture of Attention Heads☆49Updated 3 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- PyTorch implementation of Pay Attention to MLPs☆41Updated 4 years ago
- How Does Selective Mechanism Improve Self-attention Networks?☆29Updated 4 years ago
- some examples for drawing illustration plots for paper using seaborn package☆15Updated 6 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆123Updated 4 years ago
- ☆20Updated 5 years ago
- A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models (ACL 2022)☆43Updated 3 years ago
- The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…☆69Updated 4 years ago
- Code for the ACL2020 paper Character-Level Translation with Self-Attention☆31Updated 5 years ago
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 3 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Tra…☆32Updated 4 years ago
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated 2 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆75Updated 5 years ago
- Variational Transformers for Diverse Response Generation☆81Updated last year
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆166Updated 4 years ago
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 4 years ago
- Code for EMNLP 2022 paper “Distilled Dual-Encoder Model for Vision-Language Understanding”☆31Updated 2 years ago
- Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning☆12Updated 2 months ago
- 基于Transformer的单模型、多尺度的VAE模型☆57Updated 4 years ago
- MLPs for Vision and Langauge Modeling (Coming Soon)☆27Updated 3 years ago