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Variational Autoencoders for Collaborative Filtering

Variational Autoencoders for Collaborative Filtering

16 February 2018
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
    BDL
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Papers citing "Variational Autoencoders for Collaborative Filtering"

20 / 119 papers shown
Title
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
Diego Antognini
Boi Faltings
DML
25
29
0
17 Feb 2020
RecVAE: a New Variational Autoencoder for Top-N Recommendations with
  Implicit Feedback
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin
Anton M. Alekseev
E. Tutubalina
Valentin Malykh
Sergey I. Nikolenko
BDL
DRL
18
196
0
24 Dec 2019
Multi-Gradient Descent for Multi-Objective Recommender Systems
Multi-Gradient Descent for Multi-Objective Recommender Systems
Nikola Milojković
Diego Antognini
Giancarlo Bergamin
Boi Faltings
C. Musat
16
45
0
09 Dec 2019
A Troubling Analysis of Reproducibility and Progress in Recommender
  Systems Research
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
15
196
0
18 Nov 2019
Rate-Regularization and Generalization in VAEs
Rate-Regularization and Generalization in VAEs
Alican Bozkurt
Babak Esmaeili
Jean-Baptiste Tristan
Dana H. Brooks
Jennifer G. Dy
Jan-Willem van de Meent
DRL
30
7
0
11 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim
B. Suh
24
50
0
03 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks
Semi-supervisedly Co-embedding Attributed Networks
Zaiqiao Meng
Shangsong Liang
Jinyuan Fang
Teng Xiao
GNN
DRL
20
26
0
31 Oct 2019
Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie Zhang
36
63
0
18 Oct 2019
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
P. Li
Alexander Tuzhilin
16
262
0
11 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
17
27
0
01 Oct 2019
Learning from Bandit Feedback: An Overview of the State-of-the-art
Learning from Bandit Feedback: An Overview of the State-of-the-art
Olivier Jeunen
Dmytro Mykhaylov
D. Rohde
Flavian Vasile
Alexandre Gilotte
Martin Bompaire
OffRL
14
10
0
18 Sep 2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for
  Automatic Playlist Continuation
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
Thanh-Binh Tran
Renee Sweeney
Kyumin Lee
36
32
0
08 Jun 2019
Correlated Variational Auto-Encoders
Correlated Variational Auto-Encoders
Da Tang
Dawen Liang
Tony Jebara
Nicholas Ruozzi
CML
GNN
24
21
0
14 May 2019
Sequential Variational Autoencoders for Collaborative Filtering
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva
Giuseppe Manco
Ettore Ritacco
Vikram Pudi
BDL
18
102
0
25 Nov 2018
Matrix Completion With Variational Graph Autoencoders: Application in
  Hyperlocal Air Quality Inference
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Carlo Di Domenico
Duc Minh Nguyen
Evaggelia Tsiligianni
Angel Lopez Aguirre
M. Savino
Frank Pasveer
A. Bouras
Nikos Deligiannis
8
24
0
05 Nov 2018
NSML: Meet the MLaaS platform with a real-world case study
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim
Minkyu Kim
Dongjoo Seo
Jinwoong Kim
Heungseok Park
...
KyungHyun Kim
Youngil Yang
Youngkwan Kim
Nako Sung
Jung-Woo Ha
20
130
0
08 Oct 2018
Item Recommendation with Variational Autoencoders and Heterogenous
  Priors
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis
Kevin Raji Cherian
A. Narayan
Jie Yuan
Da Tang
Tony Jebara
DRL
16
45
0
17 Jul 2018
A Hybrid Variational Autoencoder for Collaborative Filtering
A Hybrid Variational Autoencoder for Collaborative Filtering
Kilol Gupta
M. Raghuprasad
Pankhuri Kumar
19
14
0
14 Jul 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OOD
CML
BDL
DRL
28
165
0
06 Apr 2018
Beyond Greedy Ranking: Slate Optimization via List-CVAE
Beyond Greedy Ranking: Slate Optimization via List-CVAE
Ray Jiang
Sven Gowal
Timothy A. Mann
Danilo Jimenez Rezende
22
49
0
05 Mar 2018
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