ablations
ablations at Beyond Market Intelligence is a file of 2 stories. The newest of them: “A decade of ML research distilled into one clear page per topic” and “Reimagining attention with a simpler, faster Gaussian approach”. Ten years of machine learning research, 109,000 accepted papers, and one clear page per topic, that's what shipped today. Scaled dot-product attention carries a heavy O(N²·d) burden because it scores every token against every other token. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every ablations story on Beyond Market Intelligence, newest first.
A decade of ML research distilled into one clear page per topic
Ten years of machine learning research, 109,000 accepted papers, and one clear page per topic, that's what shipped today. The team at Scime grouped every paper from ICML, NeurIPS, ICLR, CVPR, and AAAI since 2016 into about 1,260 topics, then pulled results tables and ablations from 79,000 of them. Take Gaussian splatting: 29 papers in 2023-24 ballooned to 240 in 2025-26, yet Deep Blending PSNR barely budged from 30.42 to 30.45. That's the kind of honest signal
Reimagining attention with a simpler, faster Gaussian approach
Scaled dot-product attention carries a heavy O(N²·d) burden because it scores every token against every other token. SSOG takes a different route: it learns a few Gaussian atoms per head and steers them geometrically from the query token. Because those atoms factor into a separable sum, complexity drops to O(N·√N·d). The results are telling. SSOG outperforms SDPA on CIFAR-100 and matches it on ImageNet while converging faster and using less memory. That is a practical step toward scaling attention without sacrificing quality.