r/MachineLearning found the 1,200-paper list useful, but the thread immediately separated “has a link” from “can reproduce the result.” Comments pointed to missing papers, 404s, and the gap between public code and runnable research.
A r/MachineLearning post surfaced AdderBoard, where community submissions report 100% 10-digit addition with extremely small transformer designs, including hand-coded models under 100 parameters.
A r/MachineLearning post surfaced AdderBoard, where community submissions report 100% 10-digit addition with extremely small transformer designs, including hand-coded models under 100 parameters.
A post on r/MachineLearning has resonated deeply: an independent researcher with limited compute developed a genuinely novel multimodal learning improvement but had their paper rejected from CVPR primarily because they could not afford to run comparisons against large-scale models.