IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation

9 August 2022

Papers citing "IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation"

21 / 21 papers shown

Title
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 133 24 0 01 Sep 2022
Contrastive Conditional Neural Processes Zesheng Ye Lina Yao UQCV 72 12 0 08 Mar 2022
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong Feng Yuan Lina Yao Xiwei Xu Liming Zhu CLL 51 167 0 07 Jul 2020
Wasserstein Neural Processes Andrew N. Carr Jared Nielson David Wingate BDL 29 2 0 01 Oct 2019
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation An Yan Shuo Cheng Wang-Cheng Kang Mengting Wan Julian McAuley 3DV HAI 46 124 0 27 Aug 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation Hoyeop Lee Jinbae Im Seongwon Jang Hyunsouk Cho Sehee Chung 45 365 0 31 Jul 2019
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation Fajie Yuan Xiangnan He Haochuan Jiang G. Guo Jian Xiong Zhezhao Xu Yilin Xiong AI4TS 68 103 0 11 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 81 118 0 02 Jun 2019
Security and Privacy on Blockchain Rui Zhang Rui Xue Ling Liu 45 773 0 18 Mar 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 104 442 0 17 Jan 2019
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 178 2,442 0 20 Aug 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 705 0 04 Jul 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 306 4,049 0 16 Nov 2017
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations Balázs Hidasi Alexandros Karatzoglou 64 830 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 72 471 0 16 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 375 7,333 0 13 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 97 427 0 07 Jun 2016
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 271 8,459 0 23 Nov 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,517 0 08 Jun 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 220 4,288 0 04 Jun 2013