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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Trade-off Between Efficiency and Consistency for Removal-based Explanations
Neural Information Processing Systems
Nonetheless, these methods primarily emphasize efficiency in the original context, often resulting in general inconsistencies.
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Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models
Neural Information Processing Systems
These components enhance the model's ability to extract
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Interval timing in deep reinforcement learning agents
Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo
Neural Information Processing Systems
The measurement of time is central to intelligent behavior.
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Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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