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Ask the GRU: Multi-Task Learning for Deep Text Recommendations

Ask the GRU: Multi-Task Learning for Deep Text Recommendations

7 September 2016
Trapit Bansal
David Belanger
Andrew McCallum
ArXivPDFHTML

Papers citing "Ask the GRU: Multi-Task Learning for Deep Text Recommendations"

15 / 15 papers shown
Title
Editable User Profiles for Controllable Text Recommendation
Editable User Profiles for Controllable Text Recommendation
Sheshera Mysore
Mahmood Jasim
Andrew McCallum
Hamed Zamani
17
16
0
09 Apr 2023
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks
H. Miho
Giulio Pagnotta
Dorjan Hitaj
Fabio De Gaspari
L. Mancini
G. Koubouris
G. Godino
Mehmet Hakan
C. M. Díez
24
3
0
01 Mar 2023
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage
  Processing Architectures
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures
Yunjae Lee
Jin-Won Chung
Minsoo Rhu
GNN
29
48
0
10 May 2022
FedComm: Federated Learning as a Medium for Covert Communication
FedComm: Federated Learning as a Medium for Covert Communication
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
FedML
32
10
0
21 Jan 2022
Polarity and Subjectivity Detection with Multitask Learning and BERT
  Embedding
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding
Ranjan Satapathy
Shweta Pardeshi
Erik Cambria
14
18
0
14 Jan 2022
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task
  Learning
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
Yuyan Wang
Xuezhi Wang
Alex Beutel
Flavien Prost
Jilin Chen
Ed H. Chi
FaML
27
47
0
04 Jun 2021
Deep Latent Emotion Network for Multi-Task Learning
Deep Latent Emotion Network for Multi-Task Learning
Huangbin Zhang
Chong Zhao
Yu Zhang
Danlei Wang
Haichao Yang
11
2
0
18 Apr 2021
MatRec: Matrix Factorization for Highly Skewed Dataset
MatRec: Matrix Factorization for Highly Skewed Dataset
Hao Wang
Bing Ruan
11
20
0
09 Nov 2020
Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms
Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms
Mahdi Elhousni
Xinming Huang
16
0
0
31 May 2020
Constructing High Precision Knowledge Bases with Subjective and Factual
  Attributes
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes
Ari Kobren
Pablo Barrio
Oksana Yakhnenko
Johann Hibschman
I. Langmore
11
6
0
28 May 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with
  Word Vectors
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors
Trung Trinh
Tho Quan
Trung Mai
BDL
17
2
0
01 May 2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain
  Collaborative Filtering with Text
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu
Yu Zhang
Qiang Yang
26
80
0
22 Jan 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
93
3,477
0
06 Jun 2018
TransNets: Learning to Transform for Recommendation
TransNets: Learning to Transform for Recommendation
R. Catherine
William W. Cohen
AI4TS
16
270
0
07 Apr 2017
Joint Training of Deep Boltzmann Machines
Joint Training of Deep Boltzmann Machines
Ian Goodfellow
Aaron Courville
Yoshua Bengio
FedML
72
28
0
12 Dec 2012
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