MachineLearning
No replies to rebuttals and comments even by AC [D]
Not even the AC, nor reviewers, is responding to our comments in rebuttals, and they were all submitted well before the discussion period started. What is one to do in this case? submitted by /u/bricklerex [link] [comments]
Read the full discussion on Reddit
This article was aggregated from Reddit. Click to join the conversation.
View on Reddit
Related Trends in MachineLearning
ICDM 2026 Results Waiting Place [D]
Revisiting the Efficient Channel Attention paper (2019, 12k citations) - the central hypothesis isn't quite right [D]
![Survival of the Fitted: Qwen3.6-27B’s Jacobian lens reads and steers Qwen3.8-27B with zero refitting [R]](https://preview.redd.it/49qcp6szzkjh1.jpeg?width=640&crop=smart&auto=webp&s=3a9f5c5e0c028e8d98994f2b827853953eb7d529)
Survival of the Fitted: Qwen3.6-27B’s Jacobian lens reads and steers Qwen3.8-27B with zero refitting [R]
How can we solve long-range recall in linear attention? [D]
![Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]](https://preview.redd.it/xg0grozpwkjh1.png?width=640&crop=smart&auto=webp&s=4ca48cc3702227f04371e5debdd07f8acd4ca785)
Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]
![SSOG-Attention: Sum Of Separable Gaussians as a sub-quadratic and scalable alternative to SDPA. [R]](https://preview.redd.it/pepwlp93opjh1.gif?width=320&crop=smart&s=2c59acf93fb52e53083ca4ef7d9885451e6c387b)
SSOG-Attention: Sum Of Separable Gaussians as a sub-quadratic and scalable alternative to SDPA. [R]