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Embedding based retrieval (EBR) is a fundamental building block in many web applications.
Dimensionality reduction by learning an invariant mapping. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06) , Vol. 2. IEEE, 1735–1742
Raia Hadsell, Sumit Chopra, and Yann LeCun. 2006 · 2006
Earlier work this paper cites.
Product quantization for nearest neighbor search
Herve Jegou, Matthijs Douze, and Cordelia Schmid. 2010 · 2010
Earlier work this paper cites.
Searching in one billion vectors: re-rank with source coding. In ICASSP . IEEE
Hervé Jégou, Romain Tavenard, Matthijs Douze, and Laurent Amsaleg. 2011 · 2011
Earlier work this paper cites.
Optimized product quantization
Tiezheng Ge, Kaiming He, Qifa Ke, and Jian Sun. 2013 · 2013
Earlier work this paper cites.
Convolutional Neural Networks for Sentence Classification. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Doha, Qatar, 1746–1751
Yoon Kim. 2014 · 2014
Earlier work this paper cites.
Learning semantic representations using convolutional neural networks for web search. In Proceedings of the 23rd international conference on world wide web
Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, and Grégoire Mesnil. 2014 · 2014
Earlier work this paper cites.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015 · 2015
Earlier work this paper cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al · 2016
Earlier work this paper cites.
Fast approximate nearest neighbor search with the navigating spreading-out graph
Cong Fu, Chao Xiang, Changxu Wang, and Deng Cai. 2017 · 2017
Earlier work this paper cites.
Revisiting the inverted indices for billion-scale approximate nearest neighbors. In Proceedings of the European Conference on Computer Vision (ECCV) . 202–216
Dmitry Baranchuk, Artem Babenko, and Yury Malkov. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs
Yu A Malkov and Dmitry A Yashunin. 2018 · 2018
Earlier work this paper cites.
MOBIUS: towards the next generation of query-ad matching in baidu’s sponsored search. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 2509–2517
Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, and Ping Li. 2019 · 2019
Earlier work this paper cites.
Learning dense representations for entity retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, and Diego Garcia-Olano. 2019 · 2019
Cited alongside, same era.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Cited alongside, same era.
Learning Fast Matching Models from Weak Annotations. In The World Wide Web Conference . 2985–2991
Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, and Qi Zhang. 2019 · 2019
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Diskann: Fast accurate billion-point nearest neighbor search on a single node. In Proceedings of the 33rd International Conference on Neural Information Processing Systems . 13766–13776
Sparse, dense, and attentional representations for text retrieval
Yi Luan, Jacob Eisenstein, Kristina Toutanova, and Michael Collins. 2020 · 2020
Later among the works it cites.
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In International Conference on Learning Representations
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N Bennett, Junaid Ahmed, and Arnold Overwijk. 2020 · 2020
Later among the works it cites.
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, and Jingdong Wang. 2021 · 2021
Later among the works it cites.
Condenser: a Pre-training Architecture for Dense Retrieval. In EMNLP . 981–993
Luyu Gao and Jamie Callan. 2021 · 2021
Later among the works it cites.
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
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Suhas Jayaram Subramanya, Rohan Kadekodi, Ravishankar Krishaswamy, and Harsha Vardhan Simhadri. 2019 · 2019
Cited alongside, same era.
Pre-training tasks for embedding-based large-scale retrieval
Wei-Cheng Chang, Felix X Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar. 2020 · 2020
Cited alongside, same era.
A simple framework for contrastive learning of visual representations. In International conference on machine learning . PMLR, 1597–1607
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020 · 2020
Cited alongside, same era.
Accelerating large-scale inference with anisotropic vector quantization. In ICML . PMLR, 3887–3896
Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, and Sanjiv Kumar. 2020 · 2020
Cited alongside, same era.
Momentum contrast for unsupervised visual representation learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 9729–9738
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick. 2020 · 2020
Cited alongside, same era.
Embedding-based retrieval in facebook search. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 2553–2561
Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, and Linjun Yang. 2020 · 2020
Cited alongside, same era.
Dense Passage Retrieval for Open-Domain Question Answering. In EMNLP . 6769–6781
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Cited alongside, same era.
Twinbert: Distilling knowledge to twin-structured compressed BERT models for large-scale retrieval. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management . 2645–2652
Wenhao Lu, Jian Jiao, and Ruofei Zhang. 2020 · 2020
Cited alongside, same era.
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, and Qi Zhang. 2021 · 2021
Later among the works it cites.
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, and Arnold Overwijk. 2021 · 2021
Later among the works it cites.
Sparse, Dense, and Attentional Representations for Text Retrieval
Yi Luan, Jacob Eisenstein, Kristina Toutanova, and Michael Collins. 2021 · 2021
Later among the works it cites.
RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 5835–5847
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, and Haifeng Wang. 2021 · 2021
Later among the works it cites.
Training Microsoft News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, and Xing Xie. 2021a · 2021
Later among the works it cites.
Matching-oriented Product Quantization For Ad-hoc Retrieval
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, and Xing Xie. 2021b · 2021
Later among the works it cites.
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In ICLR
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2021 · 2021
Later among the works it cites.
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains
Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, and Furu Wei. 2021 · 2021
Later among the works it cites.