adaptive loss weighting — 2 Technical Articles

Feb 24, 2026 · Artificial Intelligence

Why PINNs Training Fails: Diagnosing and Fixing Gradient Pathologies

The article explains that physics‑informed neural networks often stall because the PDE residual loss dominates the boundary‑condition loss, causing severe gradient imbalance, and presents two remedies—an adaptive loss‑weighting scheme and a modified fully‑connected architecture—that together can improve prediction accuracy by up to two orders of magnitude.

PDEPINNsadaptive loss weighting

0 likes · 28 min read

Why PINNs Training Fails: Diagnosing and Fixing Gradient Pathologies

Kuaishou Tech

Apr 29, 2023 · Artificial Intelligence

RMTL: A Reinforcement Learning Based Multi‑Task Learning Framework for Session‑Level Recommendation

The paper proposes RMTL, a reinforcement‑learning driven multi‑task learning framework that builds session‑level MDPs, trains a multi‑task actor‑critic network with dynamic loss weighting, and demonstrates significant AUC improvements over state‑of‑the‑art MTL recommendation models on public datasets.

Multi-Task Learningactor‑criticadaptive loss weighting

0 likes · 8 min read

RMTL: A Reinforcement Learning Based Multi‑Task Learning Framework for Session‑Level Recommendation