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03/14/2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Pruning is a promising approach to compress deep learning models in orde...
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03/14/2023
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
Knowledge Transfer (KT) achieves competitive performance and is widely u...
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03/03/2023
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
Next POI recommendation intends to forecast users' immediate future move...
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02/28/2023
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Spatial objects often come with textual information, such as Points of I...
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02/12/2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Unsupervised/self-supervised graph neural networks (GNN) are vulnerable ...
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01/22/2022
Iterative Activation-based Structured Pruning
Deploying complex deep learning models on edge devices is challenging be...
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01/22/2022
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
Deep learning models have introduced various intelligent applications to...
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01/21/2022
Adaptive Activation-based Structured Pruning
Pruning is a promising approach to compress complex deep learning models...
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09/11/2021
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
Traffic flow forecasting is a crucial task in urban computing. The chall...
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05/02/2021
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning
Defending machine learning models from adversarial attacks is still a ch...
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05/18/2020
EdgeRec: Recommender System on Edge in Mobile Taobao
Recommender system (RS) has become crucial module in commercial systems....
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03/31/2020
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction
Accurately predicting drug-target binding affinity (DTA) in silico is a ...
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03/02/2018
