NEURIPS "training stability" Papers

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Paper Type

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A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models

Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.

NEURIPS 2025oral

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Jingcheng Hu, Yinmin Zhang, Qi Han et al.

NEURIPS 2025posterarXiv:2503.24290
317
citations

Quantum Doubly Stochastic Transformers

Jannis Born, Filip Skogh, Kahn Rhrissorrakrai et al.

NEURIPS 2025spotlightarXiv:2504.16275
2
citations

Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks

Giyeong Oh, Woohyun Cho, Siyeol Kim et al.

NEURIPS 2025posterarXiv:2505.11881

Sinusoidal Initialization, Time for a New Start

Alberto Fernandez-Hernandez, Jose Mestre, Manuel F. Dolz et al.

NEURIPS 2025posterarXiv:2505.12909
1
citations