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導讀：人工智能領域頂級會議AAAI 2020持續火爆，共收到有效論文投稿8843篇，其中7737篇論文進入評審環節，最終收錄1591篇，收錄率爲 20.6%。較去年16.2%的收錄率，投稿數多了將近1100篇，收錄論文數量多了400多篇。本系列文章主要對今年錄用的論文按照研究主題進行劃分，爲相關領域的愛好者們給予便利，省去檢索論文的煩惱。本屆會議中的優秀論文會在<一起讀論文>欄目中進行詳細解讀，盡請關注！
神經架構搜索篇（NAS）
1536: Posterior-Guided Neural Architecture Search
Yizhou Zhou; Xiaoyan Sun; Chong Luo; Zheng-Jun Zha; Wenjun Zeng
University of Science and Technology of China; Microsoft Research Asia
1629: AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
Xu Chen; Brett Wujek
SAS Inc
1690: Binarized Neural Architecture Search
Hanlin Chen; Li’an Zhuo; Baochang Zhang; Xiawu Zheng; Jianzhuang Liu; David Doermann; Rongrong Ji
Beihang University; Shenzhen Institutes of Advanced Technology; University at Buffalo; Xiamen University
1980: An ADMM Based Framework for AutoML Pipeline Configuration
Sijia Liu; Parikshit Ram; Deepak Vijaykeerthy; Djallel Bouneffouf; Gregory Bramble; Horst Samulowitz; Dakuo Wang; Andrew Conn; Alexander Gray
IBM Research
2263: Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang; Yiyang Zhao; Yuu Jinnai; Yuandong Tian; Rodrigo Fonseca
Brown University; Worcester Polytechnic Institute; Facebook
2295: Neural Graph Embedding for Neural Architecture Search
Wei Li; Shaogang Gong; Xiatian Zhu
Queen Mary University of London; Samsung AI Centre, Cambridge
3933: Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao; Ju Xu; Wei-Wei Tu; Zhanxing Zhu
4Paradigm; Peking University;
8316: M-NAS: Meta Neural Architecture Search
Jiaxing Wang; Jiaxiang Wu; Haoli Bai; Jian Cheng
Chinese Academy of Sciences; Tencent AI Lab; The Chinese University of Hong Kong;
5766: TextNAS: A Neural Architecture Search Space tailored for Text Representation
Yujing Wang; Yaming Yang; Yiren Chen; Jing Bai; Ce Zhang; Guinan Su; Xiaoyu Kou; Yunhai Tong; Mao Yang; Lidong Zhou
Microsoft Research Asia; Peking University; ETH; University of Science and Technology of China
3: InstaNAS: Instance-aware Neural Architecture Search
An-Chieh Cheng; Chieh Hubert Lin; Da-Cheng Juan; Wei Wei; Min Sun
National Tsing-Hua University; Google
659: AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture
Tunhou Zhang; Hsin-Pai Cheng; Zhenwen Li; Feng Yan; Chengyu Huang; Hai Li; Yiran Chen
Duke University; Peking University; University of Nevada, Reno; Tsinghua University
3353: Learning Sparse Sharing Architectures for Multiple Tasks
Tianxiang Sun; Yunfan Shao; Xiaonan Li; Pengfei Liu; Hang Yan; Xipeng Qiu; Xuanjing Huang
Fudan University; Xidian University;
5173: Towards Oracle Knowledge Distillation with Neural Architecture Search
Minsoo Kang; Jonghwan Mun; Bohyung Han
Seoul National University; Pohang University of Science and Technology
推薦系統篇
1307: PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms
Tiancheng Shen; Jia Jia; Yan Li; Yihui Ma; Yaohua Bu; Hanjie Wang; Bo Chen; TatSeng Chua; Wendy Hall
Tsinghua University; Tencent; National University of Singapore; University of Southampton
2119: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
Ke Sun; Tieyun Qian; Tong Chen; Yile Liang; Hung Nguyen Quoc Viet; Hongzhi Yin
Wuhan University; The University of Queensland; Griffith University
2511: A Knowledge-Aware Attentional Reasoning Network for Recommendation
Qiannan Zhu; Xiaofei Zhou; Jia Wu; Jianlong Tan; Li Guo
University of Chinese Academy of Sciences; Chinese Academy of Sciences; Macquarie University;
2772: Enhancing Personalized Trip Recommendation with Attractive Routes
Jiqing Gu; Chao Song; Wenjun Jiang; Xiaomin Wang; Ming Liu
University of Electronic Science and Technology of China; Hunan University
2863: Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
Chong Chen; Min Zhang; Yongfeng Zhang; Weizhi Ma; Yiqun Liu; Shaoping Ma
Tsinghua University; Rutgers University
3241: An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
Qing Guo; Zhu Sun; Jie Zhang; Yin-Leng Theng
Nanyang Technological University
3426: Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma; Liheng Ma; Yingxue Zhang; Jianing Sun; Xue Liu; Mark Coates
McGill University; Huawei Technologies Canada
3528: Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
Guibing Guo; Bowei Chen; Xiaoyan Zhang; Zhirong Liu; Zhenhua Dong; Xiuqiang He
Northeastern University; Shenzhen University; Huawei Noah’s Ark Lab
4434: Diversified Interactive Recommendation with Implicit Feedback
Yong Liu; Yingtai Xiao; Qiong Wu; Chunyan Miao; Juyong Zhang; Binqiang Zhao; Haihong Tang
Nanyang Technological University; University of Science and Technology of China; Alibaba
4688: Question-driven Purchasing Propensity Analysis for Recommendation
Long Chen; Qibin Xu; Ziyu Guan; Qiong Zhang; Huan Sun; Guangyue Lu; Deng Cai
Xi’an University of Posts & Telecommunications; Zhejiang University; Xidian University; Alibaba; Ohio State University
5094: Sequential Recommendation with Relation-Aware Kernelized Self-Attention
Mingi Ji; Weonyoung Joo; Kyungwoo Song; Yoonyeong Kim; Il-Chul Moon
KAIST
5266: Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
Gourab K Patro; Abhijnan Chakraborty; Niloy Ganguly; Krishna Gummadi
Indian Institute of Technology, Kharagpur; Max Planck Institute for Software Systems
5616: Attention-guide Walk Model in Heterogeneous Information Network for Multi-style Recommendation Explanation
Xin Wang; Ying Wang; Yunzhi Ling
Jilin University
6597: Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Xin Dong; Jingchao Ni; Wei Cheng; Zhengzhang Chen; Bo Zong; Dongjin Song; Yanchi Liu; Haifeng Chen; Gerard de Melo
Rutgers University; NEC Laboratories America;
7175: Symmetric Metric Learning with Adaptive Margin for Recommendation
Mingming Li; Shuai Zhang; Fuqing Zhu; Liangjun Zang; Wanhui Qian; Jizhong Han; Songlin Hu
University of Chinese Academy of Sciences; University of New South Wales
7366: Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
Yang Xu; Lei Zhu; Zhiyong Cheng; Jingjing Li; Jiande Sun
Shandong Normal University; Shandong Academy of Sciences; University of Electronic Science and Technology of China;
7380: Multi-Component Graph Convolutional Collaborative Filtering
Xiao Wang; Ruijia Wang; Chuan Shi; Guojie Song; Qingyong Li
Beijing University of Posts and Telecommunications; Peking University; Beijing Jiaotong University
9007: Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data
Dilruk Perera; Roger Zimmermann
National University of Singapore
9072: Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Jiawei Chen; Can Wang; Sheng Zhou; Qihao Shi; Jingbang Chen; Yan Feng; Chun Chen
Zhejiang University
9876: Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
Xiao Xu; Fang Dong ; Yanghua Li; Shaojian He; Xin Li
Cornell University; Alibaba
10287: Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval
Dung D. Le; Hady Lauw
Singapore Management University
1169: Who Likes What? – SplitLBI in Exploring Preferential Diversity of Ratings
Qianqian Xu; Jiechao Xiong; Zhiyong Yang; Xiaochun Cao; Qingming Huang; Yuan Yao
Chinese Academy of Sciences; Tencent AI Lab; University of Chinese Academy of Sciences; HongKong University of Science and Technology
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