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06/14/2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Large Language Models (LLMs) are gaining increasing attention due to the...
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01/11/2023
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks
TAPS is a Topology-Aware intra-operator Parallelism strategy Searching a...
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09/23/2022
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks
Prompt learning is an effective paradigm that bridges gaps between the p...
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06/10/2022
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models
Foundation models are becoming the dominant deep learning technologies. ...
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03/30/2022
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation
The further development of deep neural networks is hampered by the limit...
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01/30/2021
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training
In recent years, the Deep Learning Alternating Minimization (DLAM), whic...
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06/10/2020
ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach
It is hard to train Recurrent Neural Network (RNN) with stable convergen...
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09/11/2018
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines
Support vector machines (SVMs) with sparsity-inducing nonconvex penaltie...
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01/30/2018
An Incremental Path-Following Splitting Method for Linearly Constrained Nonconvex Nonsmooth Programs
The linearly constrained nonconvex nonsmooth program has drawn much atte...
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01/22/2018
On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability
In this paper, we propose a stochastic Primal-Dual Hybrid Gradient (PDHG...
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12/04/2017
Learning Deep Correspondence through Prior and Posterior Feature Constancy
Stereo matching algorithms usually consist of four steps, including matc...
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08/20/2017
Stochastic Primal-Dual Proximal ExtraGradient Descent for Compositely Regularized Optimization
We consider a wide range of regularized stochastic minimization problems...
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11/19/2016
