Download Yu Et Al. - 2020 - Gradient Surgery For Multi-Task Learning PDF Free - Full Version
Download Yu Et Al. - 2020 - Gradient Surgery For Multi-Task Learning by ['jjssh'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Yu Et Al. - 2020 - Gradient Surgery For Multi-Task Learning
This document proposes a method called Projecting Conflicting Gradients (PCGrad) to improve the optimization challenges of multi-task learning. The key challenges are when task gradients conflict (point in opposite directions), occur in areas of high curvature, and have large differences in magnitude. PCGrad projects each task's gradient onto the normal plane of any other conflicting gradients, preventing interference. Theoretically, this improves upon standard multi-task gradient descent. Empirically on multi-task classification, scene understanding, reinforcement learning, and goal-conditioned RL, PCGrad leads to substantially better data efficiency, optimization speed, and performance compared to prior methods.
Detailed Information
| Author: | ['jjssh'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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