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Meta Matrix Factorization for Federated Rating Predictions

Meta Matrix Factorization for Federated Rating Predictions

22 October 2019
Yujie Lin
Pengjie Ren
Zhumin Chen
Zhaochun Ren
Dongxiao Yu
Jun Ma
Maarten de Rijke
Xiuzhen Cheng
ArXivPDFHTML

Papers citing "Meta Matrix Factorization for Federated Rating Predictions"

20 / 20 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
493
42,407
0
03 Dec 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start
  Recommendation
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee
Jinbae Im
Seongwon Jang
Hyunsouk Cho
Sehee Chung
29
363
0
31 Jul 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Sequential Scenario-Specific Meta Learner for Online Recommendation
Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
OffRL
LRM
CLL
68
118
0
02 Jun 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized
  Recommendation System
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din
E. Ivannikova
Suleiman A. Khan
Were Oyomno
Qiang Fu
K. E. Tan
Adrian Flanagan
FedML
68
271
0
29 Jan 2019
Outer Product-based Neural Collaborative Filtering
Outer Product-based Neural Collaborative Filtering
Xiangnan He
Xiaoyu Du
Xiang Wang
Feng Tian
Jinhui Tang
Tat-Seng Chua
58
339
0
12 Aug 2018
Meta-Gradient Reinforcement Learning
Meta-Gradient Reinforcement Learning
Zhongwen Xu
H. V. Hasselt
David Silver
107
324
0
24 May 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
230
2,232
0
08 Mar 2018
Meta Multi-Task Learning for Sequence Modeling
Meta Multi-Task Learning for Sequence Modeling
Junkun Chen
Xipeng Qiu
Pengfei Liu
Xuanjing Huang
53
92
0
25 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
81
395
0
22 Feb 2018
Bayesian Hypernetworks
Bayesian Hypernetworks
David M. Krueger
Chin-Wei Huang
Riashat Islam
Ryan Turner
Alexandre Lacoste
Aaron Courville
UQCV
BDL
59
139
0
13 Oct 2017
Neural Rating Regression with Abstractive Tips Generation for
  Recommendation
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Piji Li
Zihao Wang
Zhaochun Ren
Lidong Bing
Wai Lam
54
297
0
01 Aug 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
143
1,567
0
03 Jul 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
295
8,130
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,899
0
09 Mar 2017
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
137
1,628
0
27 Sep 2016
Hybrid Recommender System based on Autoencoders
Hybrid Recommender System based on Autoencoders
Florian Strub
Romaric Gaudel
Jérémie Mary
83
219
0
24 Jun 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
62
471
0
16 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
90
58
0
31 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
397
17,468
0
17 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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