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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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07/31/2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
Robust quantization improves the tolerance of networks for various imple...
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06/02/2022
NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization
The optimization of neural networks in terms of computation cost and mem...
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05/23/2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
This paper presents a novel hybrid representation learning framework for...
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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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12/29/2021
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models
Personalized news recommendation aims to provide attractive articles for...
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08/19/2021
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
Self-supervised monocular depth estimation has been widely studied, owin...
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08/19/2020
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
Recently, self-attention based models have achieved state-of-the-art per...
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08/11/2020
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
4-bit and lower precision mobile models are required due to the ever-inc...
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08/16/2019
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
Line art colorization is expensive and challenging to automate. A GAN ap...
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12/24/2018
Precision Highway for Ultra Low-Precision Quantization
Neural network quantization has an inherent problem called accumulated q...
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04/20/2018