vec2vec-ablation-all-three-generator-losses-necessary
IN premise — summaries/2026/08/24/jha-2025-vec2vec-s4-experimental-setup.md
Created 2026-08-24T17:10:57+00:00
Ablating any single generator loss degrades performance severely: removing VSP drops cosine to 0.58 and rank to ~4197 (near random 4096); removing cycle-consistency drops cosine to 0.50; removing the latent-level GAN drops cosine to 0.49.
Summary
This model's output quality depends on all three training objectives working together at once, because dropping any single one causes the results to collapse to roughly random performance. It means the system cannot be simplified by removing any one component without losing the ability to produce meaningful vector matches.