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Recent advancements of sequential deep learning models such as Transformer and BERT have significantly facilitated the sequential recommendation.
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Session-based Recommendations with Recurrent Neural Networks. In ICLR
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Self-Attentive Sequential Recommendation. In ICDM
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Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. In WSDM
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Representation Learning with Contrastive Predictive Coding
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Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. In ICLR
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, and William W. Cohen. 2018 · 2018
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Discrete Deep Learning for Fast Content-Aware Recommendation. In WSDM
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How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. In EMNLP-IJCNLP
Kawin Ethayarajh. 2019 · 2019
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Representation Degeneration Problem in Training Natural Language Generation Models. In ICLR
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Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, and Aäron van den Oord. 2019 · 2019
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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. In ICML
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CLEAR: Contrastive Learning for Sentence Representation
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ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. In ACL/IJCNLP
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Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, and Evan Ettinger. 2020 · 2020
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Cited alongside, same era.
Learning deep representations by mutual information estimation and maximization. In ICLR
R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, and Yoshua Bengio. 2019 · 2019
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On Variational Bounds of Mutual Information. In ICML
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alex Alemi, and George Tucker. 2019 · 2019
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Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. In CIKM
Ruihong Qiu, Jingjing Li, Zi Huang, and Hongzhi Yin. 2019 · 2019
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In CIKM
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
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Sˆ3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. In CIKM
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020 · 2019
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Exploring Simple Siamese Representation Learning
Xinlei Chen and Kaiming He. 2020 · 2020
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Momentum Contrast for Unsupervised Visual Representation Learning. In CVPR
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross B. Girshick. 2020 · 2020
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Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications. In NAACL-HLT
Daniel Bis, Maksim Podkorytov, and Xiuwen Liu. 2021 · 2021
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SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021 · 2021
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Lightweight Self-Attentive Sequential Recommendation
Yang Li, Tong Chen, Peng-Fei Zhang, and Hongzhi Yin. 2021b · 2021
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COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, and Xia Song. 2021 · 2021
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Exploiting Positional Information for Session-based Recommendation
Ruihong Qiu, Zi Huang, Tong Chen, and Hongzhi Yin. 2021b · 2021
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Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation
Ruihong Qiu, Zi Huang, and Hongzhi Yin. 2021a · 2021
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CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, and Zi Huang. 2021c · 2021
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Learning to Diversify for Single Domain Generalization
Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, and Mahsa Baktashmotlagh. 2021 · 2021
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Self-supervised Graph Learning for Recommendation. In SIGIR
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie. 2021 · 2021
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Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. In AAAI
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, and Xiangliang Zhang. 2021 · 2021
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Contrastive Learning for Sequential Recommendation
Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Bolin Ding, and Bin Cui. 2021 · 2021
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