Transformers
Nyströmformer
Introduced by Xiong et al. in Nyströmformer: A Nyström-Based Algorithm for Approximating Self-AttentionNyströmformer replaces the self-attention in BERT-small and BERT-base using the proposed Nyström approximation. This reduces self-attention complexity to $O(n)$ and allows the Transformer to support longer sequences.
Source: Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Classification | 1 | 16.67% |
| Image Classification | 1 | 16.67% |
| Natural Language Inference | 1 | 16.67% |
| Question Answering | 1 | 16.67% |
| Semantic Textual Similarity | 1 | 16.67% |
| Sentiment Analysis | 1 | 16.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
