In this paper, we propose a method, Doc2hash, that solves the gradient flow problem of the discrete stochastic layer by using continuous relaxation on priors, ...

In this paper, we propose a method, Doc2hash, that solves the gradient flow problem of the discrete stochastic layer by using continuous relaxation on priors, ...

Learning to hash via generative models has become a powerful paradigm for fast similarity search in documents retrieval. To get binary representation (i.e., ...

Doc2hash: Learning discrete latent variables for documents retrieval. Y Zhang, H Zhu. Proceedings of the 2019 Conference of the North American Chapter of the ...

"Doc2hash: Learning discrete latent variables for documents retrieval." Proceedings of the 2019 Conference of the North American Chapter of the Association ...

Doc2hash: Learning discrete latent variables for documents retrieval. Y Zhang, H Zhu. Proceedings of the 2019 Conference of the North American Chapter of the ...

Doc2hash: Learning Discrete Latent variables for Documents Retrieval ... However, the discrete stochastic layer is usually incompatible with the backpropagation ...

Feb 9, 2023 · Doc2hash: Learning Discrete · Latent variables for Documents Retrieval. In Proceedings of the 2019 Conference of the North American Chapter of ...

Doc2hash: Learning Discrete Latent variables for Documents Retrieval · Yifei ZhangHao Zhu. Computer Science. NAACL. 2019. TLDR. This paper proposes a method, ...

and Zhu, H., (2019, June). Doc2hash: Learning Discrete Latent variables · for Documents Retrieval. In Proceedings of the 2019 Conference of the North Amer ...