Multi-Agent Dual Learning

ICLR 2019 Yiren WangYingce XiaTianyu HeFei TianTao QinChengXiang ZhaiTie-Yan Liu

Dual learning has attracted much attention in machine learning, computer vision and natural language processing communities. The core idea of dual learning is to leverage the duality between the primal task (mapping from domain X to domain Y) and dual task (mapping from domain Y to X) to boost the performances of both tasks... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Machine Translation WMT2016 English-German MADL BLEU score 40.68 # 1

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