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Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Neural Information Processing Systems
Work done during an internship at Zoox 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
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- North America > United States > California > San Francisco County > San Francisco (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- Asia > Myanmar > Tanintharyi Region > Dawei (0.04)
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Improving Neural ODE Training with Temporal Adaptive Batch Normalization
Neural Information Processing Systems
Moreover, when confined to a model architecture consisting of a single Neural ODE followed by a linear layer, T A-BN achieves 91.1% test
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Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
Neural Information Processing Systems
We further discuss the sample complexity for a desired approximation accuracy.
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MultiOrg: A Multi-rater Organoid-detection Dataset Christina Bukas
Neural Information Processing Systems
Organoids, specifically, are an active area of research, providing excellent models for human organs and their functions.
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- Europe > Switzerland > Zürich > Zürich (0.14)
- Europe > Germany > Bavaria > Upper Bavaria > Munich (0.05)
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ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang
Neural Information Processing Systems
How do language models use information provided as context when generating a response?
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- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Natural Language (0.94)