2024 Fast structured decoding for sequence models

Fast structured decoding for sequence models

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August undefined, 2024

WebCorpus ID: 204916079; Fast Structured Decoding for Sequence Models @inproceedings{Sun2024FastSD, title={Fast Structured Decoding for Sequence Models}, author={Zhiqing Sun and Zhuohan Li and Haoqing Wang and Zi Lin and Di He and Zhihong Deng}, booktitle={Neural Information Processing Systems}, year={2024} } WebA method for sequence-to-sequence prediction using a neural network model includes A method for sequence-to-sequence prediction using a neural network model, generating …

Non-Autoregressive Translation by Learning Target Categorical …

WebTo improve then decoding consistency and reduce the inference cost at the same time, we propose to incorporate a structured inference module into the non-autoregressive … Web3 Fast Structured Decoding for Sequence Models In this section, we describe the proposed model in the context of machine translation and use “source” and “context” … imvu number of employees

Haoqing Wang

WebAutoregressive sequence models achieve state-of-the-art performance in domains like machine translation. However, due to the autoregressive factorization nature, these … WebDec 20, 2024 · Fast structured decoding for sequence models. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, and Roman … WebJan 1, 2024 · Fast structured decoding for sequence models. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, 8-14 December ... in-building wireless chicago

Fast Structured Decoding for Sequence Models DeepAI

Fast Decoding in Sequence Models using Discrete Latent …

WebOct 25, 2024 · Fast Structured Decoding for Sequence Models. Autoregressive sequence models achieve state-of-the-art performance in domains like machine translation. … WebFast Structured Decoding for Sequence Models (NAT-CRF, Sun et al., 2024) Note that we implemented a low-rank appromixated CRF model by setting --crf-lowrank-approx=32and --crf-beam-approx=64as discribed in the original paper. All other settings are the same as the vanilla NAT model. in-built crossword clueWebDec 20, 2024 · The proposed conditional non-autoregressive neural sequence model is evaluated on machine translation and image caption generation, and it is observed that it significantly speeds up decoding while maintaining the generation quality comparable to the autoregressive counterpart. Expand 357 PDF View 3 excerpts, references background … in-building wireless security

"WebTo improve the decoding consistency and reduce the inference cost at the same time, in this paper, we propose to incorporate a structured inference module in the decoder part … " - Fast structured decoding for sequence models

Fast structured decoding for sequence models

WebFast Structured Decoding for Sequence Models Papers With Code Fast Structured Decoding for Sequence Models NeurIPS 2024 · Zhiqing Sun , Zhuohan Li , Haoqing Wang , Zi Lin , Di He , Zhi-Hong Deng · Edit social preview Autoregressive sequence models achieve state-of-the-art performance in domains like machine translation. WebTo improve then decoding consistency and reduce the inference cost at the same time, we propose to incorporate a structured inference module into the non-autoregressive …

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WebNov 11, 2024 · Fast Decoding in Sequence Models using Discrete Latent Variables Article Mar 2024 Lukasz Kaiser Aurko Roy Ashish Vaswani Noam Shazeer View Show abstract Distilling the Knowledge in a Neural... WebSep 20, 2024 · Fast Structured Decoding for Sequence Models Paper Code Yiping Lu*, Zhuohan Li*, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu 2024 In arXiv:1906.02762 Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View Paper Code Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, …

WebOct 25, 2024 · Fasting Fast Structured Decoding for Sequence Models Authors: Zhiqing Sun Carnegie Mellon University Li Zhuohan China University of Petroleum - Beijing … WebFast Structured Decoding for Sequence Models Papers With Code Fast Structured Decoding for Sequence Models NeurIPS 2024 · Zhiqing Sun , Zhuohan Li , Haoqing …

WebOct 25, 2024 · Fast Structured Decoding for Sequence Models. Autoregressive sequence models achieve state-of-the-art performance in domains like machine … WebDec 20, 2024 · For sequence generation, both autoregressive models and non-autoregressive models have been developed in recent years. Autoregressive models can achieve high generation quality, but the...

WebI use insights from different domains to improve the performance (accuracy, efficiency, and interpretability) of current machine learning models. I am currently working on Alpa , an …

WebFast decoding in sequence models using discrete latent variables. arXiv preprint arXiv:1803.03382, 2024. Aurko Roy, Ashish Vaswani, Arvind Neelakantan, and Niki … imvu online inventoryWebTo improve then decoding consistency and reduce the inference cost at the same time, we propose to incorporate a structured inference module into the non-autoregressive … in-building riserWebJan 22, 2024 · This paper proposes to incorporate the explicit syntactic and semantic structure of languages into a non-autoregressive Transformer, for the task of neural machine translation, and considers the intermediate latent alignment within target sentences to better learn the long-term token dependencies. imvu on windows 10WebTable 2: Performance of BLEU score on WMT14 En-De/De-En and IWSLT14 De-En tasks. The number in the parentheses denotes the performance gap between NART models and their ART teachers. ”/” denotes that the results are not reported. LSTM-based results are from [2, 27]; CNN-based results are from [5, 28]; Transformer [1] results are based on … imvu online for free imvu old download versionWebNAR models aim to speed up decoding and reduce the inference latency, then realize better industry application. However, this improvement of speed comes at the expense of … in-built battery health checkerWebMar 9, 2024 · Fast Decoding in Sequence Models using Discrete Latent Variables. Autoregressive sequence models based on deep neural networks, such as RNNs, … imvu online play login