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07/03/2023
Squeezing Large-Scale Diffusion Models for Mobile
The emergence of diffusion models has greatly broadened the scope of hig...
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06/04/2023
Temporal Dynamic Quantization for Diffusion Models
The diffusion model has gained popularity in vision applications due to ...
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06/04/2023
OWQ: Lessons learned from activation outliers for weight quantization in large language models
Large language models (LLMs) with hundreds of billions of parameters sho...
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04/15/2022
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
Binary Neural Networks (BNNs) have emerged as a promising solution for r...
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12/02/2020
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution
Binarization of neural network models is considered as one of the promis...
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09/22/2020
SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning
The recent advent of neural approaches for developing each dialog compon...
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09/08/2020
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression
In regression analysis under artificial neural networks, the prediction ...
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02/16/2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
Binary Neural Networks (BNNs) have been garnering interest thanks to the...
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07/24/2019
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
A resistive memory device-based computing architecture is one of the pro...
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03/23/2019
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function
Significant computational cost and memory requirements for deep neural n...
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11/06/2018
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
Recently, RRAM-based Binary Neural Network (BNN) hardware has been gaini...
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03/30/2017
