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01/26/2023
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation
Due to its high cost-effectiveness, sparsity has become the most importa...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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07/13/2021
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version)
Anti-piracy is fundamentally a procedure that relies on collecting data ...
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05/11/2021
Agatha: Smart Contract for DNN Computation
Smart contract is one of the core features of Ethereum and has inspired ...
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12/29/2020
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Pre-training of text and layout has proved effective in a variety of vis...
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12/23/2019
TextNAS: A Neural Architecture Search Space tailored for Text Representation
Learning text representation is crucial for text classification and othe...
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10/19/2018
Towards Efficient Large-Scale Graph Neural Network Computing
Recent deep learning models have moved beyond low-dimensional regular gr...
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05/22/2018
