Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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A Unified Conditional Framework for Diffusion-based Image Restoration
Neural Information Processing Systems
Image restoration tasks are ill-posed problems whose solutions are not unique.
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Revisiting Ensembling in One-Shot Federated Learning
Neural Information Processing Systems
The overall learning procedure is illustrated in Figure 1, alongside iterative and one-shot FL. 1.1 Our Contributions
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JourneyDB: A Benchmark for Generative Image Understanding
Neural Information Processing Systems
We anticipate that the proposed dataset and benchmarks will facilitate further research in the field of generative content understanding.
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Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
Neural Information Processing Systems
Notably, we offer fresh perspectives on how neural solvers can handle VRP constraints.
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