Variational Autoencoders for Collaborative Filtering

16 February 2018

Matthew D. Hoffman

Papers citing "Variational Autoencoders for Collaborative Filtering"

30 / 30 papers shown

Title
Algorithm Performance Spaces for Strategic Dataset Selection Steffen Schulz 51 0 0 29 Apr 2025
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 69 0 0 10 Apr 2025
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features Edward DongBo Cui Lu Zhang William Ping-hsun Lee 54 0 0 03 Apr 2025
Extending MovieLens-32M to Provide New Evaluation Objectives Mark D. Smucker Houmaan Chamani 261 0 0 02 Apr 2025
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 86 2 0 02 Apr 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 162 7 0 13 Mar 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 142 0 0 13 Feb 2025
Collaborative Diffusion Model for Recommender System G. G. Lee Yaochen Zhu Hwanjo Yu Yao Zhou Wenlin Yao DiffM 75 0 0 31 Jan 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 100 0 0 16 Nov 2024
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation Fei Tang Yongliang Shen Hang Zhang Zeqi Tan Wenqi Zhang Guiyang Hou Kaitao Song Weiming Lu Yueting Zhuang 82 0 0 15 Oct 2024
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus Bangchao Deng Xin Jing Tianyue Yang Bingqing Qu Dingqi Yang Philippe Cudre-Mauroux 56 0 0 20 Sep 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 53 0 0 09 Jan 2024
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders M. Brégère R. Bessa 39 14 0 10 Jun 2020
Learning Distributed Representations from Reviews for Collaborative Filtering Amjad Almahairi Kyle Kastner Kyunghyun Cho Aaron Courville 48 110 0 18 Jun 2018
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 60 85 0 17 Oct 2017
Recurrent Latent Variable Networks for Session-Based Recommendation S. Chatzis Panayiotis Christodoulou A. Andreou BDL 33 42 0 13 Jun 2017
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations Balázs Hidasi Alexandros Karatzoglou 45 826 0 12 Jun 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 94 1,697 0 01 Dec 2016
Improved Recurrent Neural Networks for Session-based Recommendations Yong Kiam Tan Xinxing Xu Yong-Jin Liu 57 735 0 27 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 87 1,736 0 19 Jun 2016
A Neural Autoregressive Approach to Collaborative Filtering Yin Zheng Bangsheng Tang Wenkui Ding Hanning Zhou BDL 44 223 0 31 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 200 4,748 0 04 Jan 2016
Session-based Recommendations with Recurrent Neural Networks Balázs Hidasi Alexandros Karatzoglou L. Baltrunas D. Tikk 59 2,055 0 21 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 90 2,352 0 19 Nov 2015
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 79 618 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 82 1,617 0 10 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 395 16,962 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 323 33,445 0 16 Oct 2013
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 111 5,696 0 09 May 2012