end-to-end

Definition

Training the whole path from raw input to final output as one differentiable system, instead of building a pipeline of separately engineered stages. The gain is that every component is optimized for the actual objective and no hand-designed intermediate format bottlenecks the model. The cost is opacity and rigidity: when it fails there is no isolated stage to inspect, and swapping out one part usually means retraining.

Explainers using this term

• Paper Walkthrough: Motion-Omni — Speaking and Moving in One Forward PassMotion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue
• Paper Explained — GenFirst: Let Generation Shape the Latent Space First, Reconstruction SecondGenFirst: Generation Before Reconstruction for Stable End-to-End Latent Generative Modeling
• Neural Compression — The Codec That LearnsEnd-to-end Optimized Image Compression