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Learning large-scale pre-trained models on broad-ranging data and then transfer to a wide range of target tasks has become the de facto paradigm in many machine learning (ML) communities.
Language models are few-shot learners
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BPR: Bayesian personalized ranking from implicit feedback
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Learning deep structured semantic models for web search using clickthrough data. In
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Adam: A method for stochastic optimization
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Session-based recommendations with recurrent neural networks
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Wide & deep learning for recommender systems. In
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Deep neural networks for youtube recommendations. In
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Deep residual learning for image recognition. In
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Lambdafm: learning optimal ranking with factorization machines using lambda surrogates. In
Fajie Yuan, Guibing Guo, Joemon M Jose, Long Chen, Haitao Yu, and Weinan Zhang. 2016 · 2016
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Neural collaborative filtering. In
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017 · 2017
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Cross-domain recommendation: An embedding and mapping approach.. In
Tong Man, Huawei Shen, Xiaolong Jin, and Xueqi Cheng. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Self-attentive sequential recommendation. In
Wang-Cheng Kang and Julian McAuley. 2018 · 2018
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Perceive your users in depth: Learning universal user representations from multiple e-commerce tasks. In
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, and Luo Si. 2018 · 2018
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Representation learning with contrastive predictive coding
Aaron Van den Oord, Yazhe Li, and Oriol Vinyals. 2018 · 2018
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Parameter-efficient transfer learning for NLP. In
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019 · 2019
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
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Neural speech synthesis with transformer network. In
Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, and Ming Liu. 2019 · 2019
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π \pi -net: A parallel information-sharing network for shared-account cross-domain sequential recommendations. In
Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, and Maarten de Rijke. 2019 · 2019
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BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
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MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video. In
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, and Tat-Seng Chua. 2019 · 2019
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A simple convolutional generative network for next item recommendation. In
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M Jose, and Xiangnan He. 2019 · 2019
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User-specific Adaptive Fine-tuning for Cross-domain Recommendations
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, and Min Yang. 2021 · 2021
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Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. In
Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, and Enhong Chen. 2021 · 2021
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Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, and Hao Wang. 2021 · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
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PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, and Mostafa Dehghani. 2021 · 2021
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Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, and Ed Chi. 2019 · 2019
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2020
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A simple framework for contrastive learning of visual representations. In
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020 · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2020 · 2020
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On sampled metrics for item recommendation. In
Walid Krichene and Steffen Rendle. 2020 · 2020
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Exploiting aesthetic preference in deep cross networks for cross-domain recommendation. In
Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S Sheng, Jiajie Xu, Xiaofang Zhou, and Hui Xiong. 2020 · 2020
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Swin transformer: Hierarchical vision transformer using shifted windows. In
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo. 2021 · 2021
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One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. In
Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, et al · 2021
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One4all user representation for recommender systems in e-commerce
Kyuyong Shin, Hanock Kwak, Kyung-Min Kim, Minkyu Kim, Young-Jin Park, Jisu Jeong, and Seungjae Jung. 2021b · 2021
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Scaling Law for Recommendation Models: Towards General-purpose User Representations
Kyuyong Shin, Hanock Kwak, Kyung-Min Kim, Su Young Kim, and Max Nihlen Ramstrom. 2021a · 2021
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MM-Rec: Multimodal News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021b · 2021
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UserBERT: Contrastive User Model Pre-training
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, and Xing Xie. 2021c · 2021
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One person, one model, one world: Learning continual user representation without forgetting. In
Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon Jose, Beibei Kong, and Yudong Li. 2021 · 2021
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Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
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Towards Universal Sequence Representation Learning for Recommender Systems. In
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MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
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Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. In
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ID-Agnostic User Behavior Pre-training for Sequential Recommendation
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Multi-modal Graph Contrastive Learning for Micro-video Recommendation. In
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