Dataset And Benchmark Neurips 2025 Model. NeurIPS 2023 Dataset Diffusion用Stable Diffusion合成像素级语义分割数据集 知乎 Our dataset features video clips with a complete set of driving maneuvers, diverse multi-agent interplay, and rich open-world driving knowledge, laying a stepping stone for future world model development. NeurIPS Datasets & Benchmarks: Raising the Bar for Dataset Submissions.
Two Papers accepted for NeuRIPS 2025 Datasets and Benchmarks Track Universität Mannheim from www.uni-mannheim.de
We introduce DrivingDojo, the first dataset tailor-made for training interactive world models with complex driving dynamics For each self-nomination application for reviewing at NeurIPS 2025, we will consider the following criteria as relevant.
Two Papers accepted for NeuRIPS 2025 Datasets and Benchmarks Track Universität Mannheim
We introduce DrivingDojo, the first dataset tailor-made for training interactive world models with complex driving dynamics The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) is an interdisciplinary conference that brings together researchers in machine learning, neuroscience, statistics, optimization, computer vision, natural language processing, life sciences, natural sciences, social sciences, and other adjacent fields.. We introduce DrivingDojo, the first dataset tailor-made for training interactive world models with complex driving dynamics
NeurIPS 2022 Model Zoo Datasets and Generative HyperRepresentations HSGAIML. We introduce DrivingDojo, the first dataset tailor-made for training interactive world models with complex driving dynamics Required dataset and benchmark code submission and (3) Specific scope for datasets and benchmarks paper submission
NeurIPS Datasets and Benchmarks Track 知乎. The affinity scores were computed using a text similarity model comparing the paper's text with the reviewer's past work on OpenReview. Our dataset features video clips with a complete set of driving maneuvers, diverse multi-agent interplay, and rich open-world driving knowledge, laying a stepping stone for future world model development.