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09/05/2023
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation
Click-Through Rate (CTR) prediction is a fundamental technique in recomm...
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06/09/2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
Recommender systems (RS) play important roles to match users' informatio...
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03/16/2023
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models
For downstream applications of vision-language pre-trained models, there...
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12/20/2022
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This paper presents two wireless measurement campaigns in industrial tes...
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10/18/2022
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System
Scoring a large number of candidates precisely in several milliseconds i...
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12/16/2020
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction
Learning sophisticated feature interactions is crucial for Click-Through...
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08/28/2020
Causal mediation analysis decomposition of between-hospital variance
Causal variance decompositions for a given disease-specific quality indi...
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09/13/2019
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization
In this paper we present BPnP, a novel method to do back-propagation thr...
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05/06/2019
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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01/10/2019
Sentence Rewriting for Semantic Parsing
A major challenge of semantic parsing is the vocabulary mismatch problem...
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07/31/2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Designing convolutional neural networks (CNN) models for mobile devices ...
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04/17/2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
We present a class of efficient models called MobileNets for mobile and ...
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04/17/2014
