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06/27/2023
Retrospective: A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing
Our ISCA 2015 paper provides a new programmable processing-in-memory (PI...
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03/29/2023
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation
To apply optical flow in practice, it is often necessary to resize the i...
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07/04/2022
Memory Efficient Patch-based Training for INR-based GANs
Recent studies have shown remarkable progress in GANs based on implicit ...
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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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04/30/2021
StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Generative adversarial networks (GANs) synthesize realistic images from ...
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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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11/24/2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
The application of deep learning techniques resulted in remarkable impro...
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04/20/2018