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09/19/2023
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
With the fast growth of parameter size, it becomes increasingly challeng...
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11/15/2022
Multiagent Rollout with Reshuffling for Warehouse Robots Path Planning
Efficiently solving path planning problems for a large number of robots ...
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05/23/2022
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning
With the dramatically increased number of parameters in language models,...
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08/19/2021
An Information Theory-inspired Strategy for Automatic Network Pruning
Despite superior performance on many computer vision tasks, deep convolu...
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06/04/2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
Despite superior performance on various natural language processing task...
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05/31/2021
1×N Block Pattern for Network Sparsity
Though network sparsity emerges as a promising direction to overcome the...
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05/24/2021
Towards Compact CNNs via Collaborative Compression
Channel pruning and tensor decomposition have received extensive attenti...
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11/09/2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Deep convolutional neural networks (DCNNs) have shown dominant performan...
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10/28/2020
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices
The intensive computation of Automatic Speech Recognition (ASR) models o...
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06/04/2019
Dynamic Neural Network Decoupling
Convolutional neural networks (CNNs) have achieved a superior performanc...
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01/23/2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
The success of convolutional neural networks (CNNs) in computer vision a...
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12/11/2018