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GroupKnowledgeTransfer: FederatedLearningofLargeCNNsattheEdge
Neural Information Processing Systems
Unfortunately,training large CNNs is challenging for resource-constrained edge devices (e.g., smartphones, IoT devices, and edge servers).
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Reinforcement Learningwith State Observation Costsin Action-Contingent Noiselessly Observable Markov Decision Processes
Neural Information Processing Systems
Letb0 be twopositiveObservwill of V(b0) V (b0) after =O(ln (SAH /)), with 1 .
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a1ada9947e0d683b4625f94c74104d73-Paper.pdf
Neural Information Processing Systems
Many networks in the brain are sparsely connected, and the brain eliminates synapses during development and learning. How could the brain decide which synapses to prune?
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Maia-2: AUnifiedModelforHuman-AIAlignmentin Chess
Neural Information Processing Systems
There are an increasing number of domains in which artificial intelligence (AI) systems bothsurpass human ability andaccurately model human behavior.
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