DSNC learns binary stochastic codes and input mappings jointly in an end-to-end neural model to enable efficient large-scale multi-class classification.
International Journal of Ap- proximate Reasoning 50(7) (July 2009) 969–978
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Binary Stochastic Representations for Large Multi-class Classification
DSNC learns binary stochastic codes and input mappings jointly in an end-to-end neural model to enable efficient large-scale multi-class classification.