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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Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Neural Information Processing Systems
Distributed representations provide a vector space that captures meaningful relationships between data instances.
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Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
Neural Information Processing Systems
Generative models have demonstrated human-level proficiency in various benchmarks across domains like programming, natural sciences, and general knowledge.
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