Fetching the paper…
Reading the bibliography…
Embedding-based Retrieval (EBR) in e-commerce search is a powerful search retrieval technique to address semantic matches between search queries and products.
Signature Verification Using a "Siamese" Time Delay Neural Network. In Proceedings of the 6th International Conference on Neural Information Processing Systems (Denver, Colorado) (NIPS’93) . Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 737–744
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah. 1993 · 1993
Earlier work this paper cites.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
Earlier work this paper cites.
Deep Sets. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Russ R Salakhutdinov, and Alexander J Smola. 2017 · 2017
Earlier work this paper cites.
Cross-Lingual Language Model Pretraining
Alexis Conneau and Guillaume Lample. 2019 · 2019
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 and Data Mining (Anchorage, AK, USA) (KDD ’19) . Association for Computing Machinery, New York, NY, USA, 2509–2517
Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, and Ping Li. 2019 · 2019
Earlier work this paper cites.
GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Virtual Event, CA, USA) (KDD ’20) . Association for Computing Machinery, New York, NY, USA, 2608–2616
Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Edward Pizzi, M. Henning, Karun Singh, Omkar Parkhi, and Fedor Borisyuk. 2020 · 2020
Earlier work this paper cites.
Unsupervised Cross-lingual Representation Learning at Scale. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 8440–8451
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Earlier work this paper cites.
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (Virtual Event, Ireland) (CIKM ’20) . Association for Computing Machinery, New York, NY, USA, 2645–2652
Wenhao Lu, Jian Jiao, and Ruofei Zhang. 2020 · 2020
Cited alongside, same era.
MMF: A multimodal framework for vision and language research
Amanpreet Singh, Vedanuj Goswami, Vivek Natarajan, Yu Jiang, Xinlei Chen, Meet Shah, Marcus Rohrbach, Dhruv Batra, and Devi Parikh. 2020 · 2020
Cited alongside, same era.
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Yuxin Tian, Xueqing Deng, Yi Zhu, and Shawn Newsam. 2020 · 2020
Cited alongside, same era.
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Wang, Taibai Xu, and Ed H. Chi. 2020 · 2020
Cited alongside, same era.
Semantic Retrieval at Walmart. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Washington DC, USA) (KDD ’22) . Association for Computing Machinery, New York, NY, USA, 3495–3503
Alessandro Magnani, Feng Liu, Suthee Chaidaroon, Sachin Yadav, Praveen Reddy Suram, Ajit Puthenputhussery, Sijie Chen, Min Xie, Anirudh Kashi, Tony Lee, and Ciya Liao. 2022 · 2022
Later among the works it cites.
Image Search with Text Feedback by Additive Attention Compositional Learning
Yuxin Tian, Shawn Newsam, and Kofi Boakye. 2022 · 2022
Later among the works it cites.
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, and Xiangnan He. 2022 · 2022
Later among the works it cites.
An Embedding-Based Grocery Search Model at Instacart
Yuqing Xie, Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, and Haixun Wang. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Embedding-Based Product Retrieval in Taobao Search. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual Event, Singapore) (KDD ’21) . Association for Computing Machinery, New York, NY, USA, 3181–3189
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, and Qianli Ma. 2021 · 2021
Cited alongside, same era.
Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual Event, Singapore) (KDD ’21) . Association for Computing Machinery, New York, NY, USA, 3376–3384
Yiqun Liu, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, and Fedor Borisyuk. 2021 · 2021
Cited alongside, same era.
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (Virtual Event, Canada) (SIGIR ’21) . Association for Computing Machinery, New York, NY, USA, 1632–1636
Jinpeng Wang, Jieming Zhu, and Xiuqiang He. 2021 · 2021
Cited alongside, same era.
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Washington DC, USA) (KDD ’22) . Association for Computing Machinery, New York, NY, USA, 4433–4442
Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, and Ning Zhang. 2022 · 2022
Later among the works it cites.
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, and Xing Xie. 2022 · 2022
Later among the works it cites.