摘要:
Li X. L., Thickstun J., Gulrajani I., Liang P. and Hashimoto T. B. Diffusion-lm improves controllable text generation. arXiv preprint arXiv:2205.14217 阅读全文
摘要:
[TOC] > [Shi W., Chen J., Feng F., Zhang J., Wu J., Gao C. and He X. On the theories behind hard negative sampling for recommendation. In Internationa 阅读全文
摘要:
Zhu D., Li G., Wang B., Wu X. and Yang T. When AUC meets DRO: Optimizing partial auc for deep learning with non-convex convergence guarantee. In Inter 阅读全文
摘要:
Duchi J. C. and Namkoong H. Learning models with uniform performance via distributionally robust optimization. The Annals of Statistics, 49(3), 1378-1 阅读全文
摘要:
Chen J., Lian D., Jin B., Zhang K. and Chen E. Learning recommenders for implicit feedback with importance resampling. In ACM Web Conference (WWW), 20 阅读全文
摘要:
Kang W. and McAuley J. Self-attentive sequential recommendation. In IEEE International Conference on Data Mining (ICDM), 2018. 概 Transformer 最初用在序列推荐之 阅读全文
摘要:
Lian D., Liu Q. and Chen E. Personalized ranking with importance sampling. In International World Wide Web Conference (WWW), 2020. 概 作者总结了 4 种基于 impor 阅读全文
摘要:
Zhang W., Chen T., Wang J. and Yu Y. Optimizing top-n collaborative filtering via dynamic negative item sampling. In International ACM SIGIR Conferenc 阅读全文
摘要:
Sun F., Liu J., Wu J., Pei C., Lin X., Ou W. and Jiang P. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transfor 阅读全文
摘要:
Wu S., Tang Y., Zhu Y., Wang L., Xie X. and Tan T. Session-based recommendation with graph neural networks. In AAAI Conference on Advancement of Artif 阅读全文
摘要:
Hidasi B., Karatzoglou A., Baltrunas L. and Tikk D. Session-based recommendations with recurrent neural networks. In International Conference on Learn 阅读全文
摘要:
Yu F., Liu Q., Wu S., Wang L. and Tan T. A dynamic recurrent model for next basket recommendation. International ACM SIGIR Conference on Research and 阅读全文
摘要:
Zhang J., Chow C. and Li Y. In ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATITAL), 2014. 概 结合 social 阅读全文
摘要:
Austin J., Johnson D. D., Ho J., Tarlow D. and van den Berg R. Structured denoising diffusion models in discrete state-spaces. In Advances in Neural I 阅读全文
摘要:
Choi J., Hong S., Park N. and Cho S. GREAD: graph neural reaction-diffusion equations. arXiv preprint arXiv: arXiv:2211.14208 概 作者提出了一种基于 reaction-dif 阅读全文
摘要:
Chen R. T. Q., Rubanova Y., Bettencourt J. and Duvenaud D. Neural ordinary differential equations. In Advances in Neural Information Processing System 阅读全文
摘要:
Choi J., Hong S., Park N. and Cho S. Perturbation-recovery method for recommendation. arXiv preprint arXiv:2211.09324, 2022. 概 本文将最近很火的 diffusion mode 阅读全文
摘要:
Choi J., Jeon J. and Park N. LT-OCF: Learnable-time ode-based collaborative filtering. In International Conference on Information and Knowledge Manage 阅读全文