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Modern recommendation systems rely on real-valued embeddings of categorical features.
Robust subspace segmentation by low-rank representation
Liu, G., Lin, Z., and Yu, Y · 2010
Earlier work this paper cites.
Factorization machines
Rendle, S · 2010
Earlier work this paper cites.
Matrix completion with column manipulation: Near-optimal sample-robustness-rank tradeoffs
Chen, Y., Xu, H., Caramanis, C., and Sanghavi, S · 2011
Earlier work this paper cites.
Robust principal component analysis via capped norms
Sun, Q., Xiang, S., and Ye, J · 2013
Earlier work this paper cites.
Weighted nuclear norm minimization with application to image denoising
Gu, S., Zhang, L., Zuo, W., and Feng, X · 2014
Earlier work this paper cites.
Subspace clustering using log-determinant rank approximation
Peng, C., Kang, Z., Li, H., and Cheng, Q · 2015
Earlier work this paper cites.
Wide & deep learning for recommender systems
Cheng, H., Koc, L., Harmsen, J., Shaked, T., Chandra, T., Aradhye, H., Anderson, G., Corrado, G., Chai, W., Ispir, M., Anil, R., Haque, Z., Hong, L., Jain, V., Liu, X., and Shah, H · 2016
Earlier work this paper cites.
Weighted nuclear norm minimization and its applications to low level vision
Gu, S., Xie, Q., Meng, D., Zuo, W., Feng, X., and Zhang, L · 2016
Earlier work this paper cites.
Field-aware factorization machines for ctr prediction
Juan, Y.-C., Zhuang, Y., Chin, W.-S., and Lin, C.-J · 2016
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Word embeddings with limited memory
Ling, S., Song, Y., and Roth, D · 2016
Earlier work this paper cites.
Sparse word embeddings using l1 regularized online learning
Sun, F., Guo, J., Lan, Y., Xu, J., and Cheng, X · 2016
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Compression-aware training of deep networks
Alvarez, J. M., and Salzmann, M · 2017
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Deepfm: A factorization-machine based neural network for ctr prediction
Guo, H., Tang, R., Ye, Y., Li, Z., and He, X · 2017
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Deep & cross network for ad click predictions
Wang, R., Fu, B., Fu, G., and Wang, M · 2017
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Stronger generalization bounds for deep nets via a compression approach
Arora, S., Ge, R., Neyshabur, B., and Zhang, Y · 2018
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xdeepfm: Combining explicit and implicit feature interactions for recommender systems
Lian, J., Zhou, X., Zhang, F., Chen, Z., Xie, X., and Sun, G · 2018
Block based singular value decomposition approach to matrix factorization for recommender systems
Bhavana, P., Kumar, V., and Padmanabhan, V · 2019
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Mixed dimension embeddings with application to memory-efficient recommendation systems
Ginart, A., Naumov, M., Mudigere, D., Yang, J., and Zou, J · 2019
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Mixed dimension embeddings with application to memory-efficient recommendation systems, 2019
Ginart, A., Naumov, M., Mudigere, D., Yang, J., and Zou, J · 2019
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Tensorized embedding layers for efficient model compression
Khrulkov, V., Hrinchuk, O., Mirvakhabova, L., and Oseledets, I · 2019
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On the dimensionality of embeddings for sparse features and data
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On periodic functions as regularizers for quantization of neural networks
Naumov, M., Diril, U., Park, J., Ray, B., Jablonski, J., and Tulloch, A · 2018
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On the dimensionality of word embedding
Yin, Z., and Shen, Y · 2018
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Implicit regularization in deep matrix factorization
Arora, S., Cohen, N., Hu, W., and Luo, Y · 2019
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Collaborative email-spam filtering with the hashing trick
Attenberg, J., Weinberger, K., Dasgupta, A., Smola, A., and Zinkevich, M
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Naumov, M · 2019
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Deep learning recommendation model for personalization and recommendation systems
Naumov, M., Mudigere, D., Shi, H.-J. M., Huang, J., Sundaraman, N., Park, J., Wang, X., Gupta, U., Wu, C.-J., Azzolini, A. G., Dzhulgakov, D., Mallevich, A., Cherniavskii, I., Lu, Y., Krishnamoorthi, R., Yu, A., Kondratenko, V. Y., Pereira, S., Chen, X., Chen, W., Rao, V., Jia, B., Xiong, L., and Smelyanskiy, M · 2019
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Click-through rate prediction with the user memory network
Ouyang, W., Zhang, X., Ren, S., Li, L., Liu, Z., and Du, Y · 2019
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Near-lossless binarization of word embeddings
Tissier, J., Gravier, C., and Habrard, A · 2019
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PyTorch Documentation v1.4.0
Reproducibility · 2020
Closest in time.