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Quadrature-based features for kernel approximation
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan Oseledets
Neural Information Processing Systems http://nips.cc/
Learning Attractor Dynamics for Generative Memory
Yan Wu, Gregory Wayne, Karol Gregor, Timothy Lillicrap
These mechanisms typically retrieve items in a single step and are fixed after training.
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya, Ardhendu Tripathy, Robert Nowak
Letusfocus understand Figure 1, which onthemeanst.
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou
One of the goals of machine learning is to develop systems that can generalize effectively across diverse populations and environments, much like human intelligence.
A Graph Theoretic Additive Approximation of Optimal Transport
Nathaniel Lahn, Deepika Mulchandani, Sharath Raghvendra
Neural Information Processing Systems http://nips.cc/
A Simple Cache Model for Image Recognition
Neural Information Processing Systems http://nips.cc/