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08/15/2023
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System
With the continuous increase of users and items, conventional recommende...
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03/21/2023
Dynamically Expandable Graph Convolution for Streaming Recommendation
Personalized recommender systems have been widely studied and deployed t...
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05/17/2021
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
Privacy-preserving data mining has become an important topic. People hav...
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02/16/2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Current value-based multi-agent reinforcement learning methods optimize ...
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12/22/2020
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
A common challenge in personalized user preference prediction is the col...
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09/01/2020
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
Automatic speech recognition (ASR) systems have been widely deployed in ...
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08/21/2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication
With the rise of online e-commerce platforms, more and more customers pr...
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08/21/2020
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation
Online recommendation services recommend multiple commodities to users. ...
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06/26/2020
Continual Learning from the Perspective of Compression
Connectionist models such as neural networks suffer from catastrophic fo...
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06/07/2020
Learning Behaviors with Uncertain Human Feedback
Human feedback is widely used to train agents in many domains. However, ...
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05/23/2020
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving
Driving in a human-like manner is important for an autonomous vehicle to...
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11/16/2019
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Many real-world multi-agent reinforcement learning applications require ...
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06/12/2019
Task Agnostic Continual Learning via Meta Learning
While neural networks are powerful function approximators, they suffer f...
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05/07/2019
Sliced Latin hypercube designs with arbitrary run sizes
Latin hypercube designs achieve optimal univariate stratifications and a...
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10/07/2018
CSI-Net: Unified Human Body Characterization and Action Recognition
Channel State Information (CSI) of WiFi signals becomes increasingly att...
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07/06/2018
Interleaved lattice-based maximin distance designs
We propose a new method to construct maximin distance designs with arbit...
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04/26/2018
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition
Driven by the wave of urbanization in recent decades, the research topic...
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08/11/2017
iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering
The growth of Internet commerce has stimulated the use of collaborative ...
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07/16/2017