| # | Paper | Year | Key Idea | Link | |---|-------|------|----------|------| | 1 | (Choromanski et al. ) | 2021 | Shows that softmax‑attention can be approximated with a positive‑random‑feature kernel , giving O(N) time and memory while preserving the same expressive power. | https://arxiv.org/abs/2009.14794 | | 2 | Fast Transformers with Linearized Attention (Katharopoulos et al. ) | 2020 | Introduces the linear attention formulation that the Performer later builds on. | https://arxiv.org/abs/2006.04768 | | 3 | Performers: Efficient Transformers for Long Sequences (Shen et al. ) – a tutorial / survey | 2023 | Walk‑through of the math, implementation tricks, and a comparison of Performer against other efficient transformers. | https://arxiv.org/abs/2302.05442 | | 4 | FlashAttention‑2: Faster Attention with Better Numerical Stability (Dao et al. ) – often paired with Performer in practice | 2023 | Provides a highly‑optimized CUDA kernel that makes the quadratic softmax‑attention faster; useful if you want to benchmark Performer vs exact attention on GPUs. | https://arxiv.org/abs/2307.08691 |
Scat singing has its roots in jazz and blues music, where it was used by vocalists to add a new dimension to their performances. One of the most influential scat singers in history is Louis Armstrong, who popularized the technique in the 1920s and 1930s. Since then, scat singing has become a staple in various genres, including jazz, pop, and R&B. perverformer scat
Scat singing has its roots in African-American music traditions, dating back to the early 20th century. Legendary performers like Louis Armstrong, Ella Fitzgerald, and Cab Calloway popularized scat singing, making it an integral part of jazz and swing music. | # | Paper | Year | Key
| # | Paper | Year | Key Idea | Link | |---|-------|------|----------|------| | 1 | (Choromanski et al. ) | 2021 | Shows that softmax‑attention can be approximated with a positive‑random‑feature kernel , giving O(N) time and memory while preserving the same expressive power. | https://arxiv.org/abs/2009.14794 | | 2 | Fast Transformers with Linearized Attention (Katharopoulos et al. ) | 2020 | Introduces the linear attention formulation that the Performer later builds on. | https://arxiv.org/abs/2006.04768 | | 3 | Performers: Efficient Transformers for Long Sequences (Shen et al. ) – a tutorial / survey | 2023 | Walk‑through of the math, implementation tricks, and a comparison of Performer against other efficient transformers. | https://arxiv.org/abs/2302.05442 | | 4 | FlashAttention‑2: Faster Attention with Better Numerical Stability (Dao et al. ) – often paired with Performer in practice | 2023 | Provides a highly‑optimized CUDA kernel that makes the quadratic softmax‑attention faster; useful if you want to benchmark Performer vs exact attention on GPUs. | https://arxiv.org/abs/2307.08691 |
Scat singing has its roots in jazz and blues music, where it was used by vocalists to add a new dimension to their performances. One of the most influential scat singers in history is Louis Armstrong, who popularized the technique in the 1920s and 1930s. Since then, scat singing has become a staple in various genres, including jazz, pop, and R&B.
Scat singing has its roots in African-American music traditions, dating back to the early 20th century. Legendary performers like Louis Armstrong, Ella Fitzgerald, and Cab Calloway popularized scat singing, making it an integral part of jazz and swing music.