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Researchers From China Propose DIFFUSEQ: A Diffusion Model Designed For Sequence-To-Sequence (SEQ2SEQ) Text Generation Tasks
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Existing generative models, such as GAN, VAE, and flow-based models, suffer from mode collapse and must rely on surrogate objectives to approximate maximum likelihood training. Diffusion models have overcome many of these constraints and emerged as a new paradigm for generative models, theoretically supported by non-equilibrium thermodynamics and a score-matching network. The most significant advances […]
The post Researchers From China Propose DIFFUSEQ: A Diffusion Model Designed For Sequence-To-Sequence (SEQ2SEQ) Text Generation Tasks appeared first on MarkTechPost.
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