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08/23/2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
The recent surge of generative AI has been fueled by the generative powe...
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03/31/2023
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation
Benefiting from the sequence-level knowledge distillation, the Non-Autor...
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02/20/2023
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
While diffusion models have achieved great success in generating continu...
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09/12/2022
SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain
Deep Linear and Nonlinear learning methods have already been vital machi...
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06/18/2022
Beating the fault-tolerance bound and security loopholes for Byzantine agreement with a quantum solution
Byzantine agreement, the underlying core of blockchain, aims to make eve...
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05/20/2022
DELMAR: Deep Linear Matrix Approximately Reconstruction to Extract Hierarchical Functional Connectivity in the Human Brain
The Matrix Decomposition techniques have been a vital computational appr...
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05/20/2022
DEMAND: Deep Matrix Approximately NonlinearDecomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain
Deep Neural Networks (DNNs) have already become a crucial computational ...
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05/20/2022
SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer
In this work, to efficiently help escape the stationary and saddle point...
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04/05/2022
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation
Recently, parallel text generation has received widespread attention due...
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12/22/2021
Breaking the Rate-Loss Relationship of Quantum Key Distribution with Asynchronous Two-Photon Interference
Twin-field quantum key distribution can overcome the repeaterless bound ...
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12/15/2021
Experimental quantum advantage with quantum coupon collector
An increasing number of communication and computational schemes with qua...
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03/21/2021
Non-Autoregressive Translation by Learning Target Categorical Codes
Non-autoregressive Transformer is a promising text generation model. How...
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08/18/2020
Glancing Transformer for Non-Autoregressive Neural Machine Translation
Non-autoregressive neural machine translation achieves remarkable infere...
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11/25/2019
Non-autoregressive Transformer by Position Learning
Non-autoregressive models are promising on various text generation tasks...
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07/06/2019
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Variational auto-encoders (VAEs) are widely used in natural language gen...
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06/24/2019