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03/05/2023
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
The rapid advances in Vision Transformer (ViT) refresh the state-of-the-...
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11/23/2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
As one of the central tasks in machine learning, regression finds lots o...
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02/08/2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Face clustering has attracted rising research interest recently to take ...
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08/18/2021
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
Domain shift happens in cross-domain scenarios commonly because of the w...
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07/12/2021
Fine-Grained AutoAugmentation for Multi-Label Classification
Data augmentation is a commonly used approach to improving the generaliz...
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06/10/2021
CODIC: A Low-Cost Substrate for Enabling Custom In-DRAM Functionalities and Optimizations
DRAM is the dominant main memory technology used in modern computing sys...
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09/17/2020
FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching
DRAM Main memory is a performance bottleneck for many applications due t...
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07/20/2020
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
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02/19/2019
Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices
Low-cost devices are now commonplace and can be found in diverse environ...
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10/22/2018