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08/31/2023
Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
Unsignalized intersections are typically considered as one of the most r...
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01/16/2022
Sequential Recommendation via Stochastic Self-Attention
Sequential recommendation models the dynamics of a user's previous behav...
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08/14/2021
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
In order to model the evolution of user preference, we should learn user...
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06/11/2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
The sequential patterns within the user interactions are pivotal for rep...
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02/24/2021
Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method
In this paper, a safe and learning-based control framework for model pre...
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10/22/2020
Efficient RDF Graph Storage based on Reinforcement Learning
Knowledge graph is an important cornerstone of artificial intelligence. ...
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09/04/2020
Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
Enforcing safety on precise trajectory tracking is critical for aerial r...
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08/08/2020
Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
Safety and tracking stability are crucial for safety-critical systems su...
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10/18/2019
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Cross-domain recommendation can alleviate the data sparsity problem in r...
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09/05/2019
Finding optimal hull shapes for fast vertical penetration into water
A new approach for the supercavitating hull optimization was proposed, w...
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06/20/2019
On the Dynamic Centralized Coded Caching Design
Coded caching scheme provides us an effective framework to realize addit...
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05/07/2019
Deep Landscape Forecasting for Real-time Bidding Advertising
The emergence of real-time auction in online advertising has drawn huge ...
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05/02/2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
User response prediction, which models the user preference w.r.t. the pr...
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01/06/2019
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images
We address the vessel segmentation problem by building upon the multisca...
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01/04/2019
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans
We present the first attempt to perform short glass fiber semantic segme...
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01/04/2019
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data
Comparing different algorithms for segmenting glass fibers in industrial...
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01/04/2019
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning
We propose a novel approach for automatic extraction (instance segmentat...
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11/11/2018
Semi-supervised Deep Representation Learning for Multi-View Problems
While neural networks for learning representation of multi-view data hav...
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09/07/2018
Deep Recurrent Survival Analysis
Survival analysis is a hotspot in statistical research for modeling time...
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08/30/2018
Spectral Collaborative Filtering
Despite the popularity of Collaborative Filtering (CF), CF-based methods...
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06/03/2018
TI-CNN: Convolutional Neural Networks for Fake News Detection
With the development of social networks, fake news for various commercia...
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05/18/2018
MARS: Memory Attention-Aware Recommender System
In this paper, we study the problem of modeling users' diverse interests...
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03/23/2018
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
The increasing use of electronic forms of communication presents new opp...
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02/06/2018
Texygen: A Benchmarking Platform for Text Generation Models
We introduce Texygen, a benchmarking platform to support research on ope...
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06/12/2017
