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StarSpace: Embed All The Things!

StarSpace: Embed All The Things!

12 September 2017
Ledell Yu Wu
Adam Fisch
S. Chopra
Keith Adams
Antoine Bordes
Jason Weston
ArXivPDFHTML

Papers citing "StarSpace: Embed All The Things!"

33 / 83 papers shown
Title
Homogeneous Network Embedding for Massive Graphs via Reweighted
  Personalized PageRank
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
Renchi Yang
Jieming Shi
Xiaokui Xiao
Yifan Yang
S. Bhowmick
9
65
0
17 Jun 2019
A Document-grounded Matching Network for Response Selection in
  Retrieval-based Chatbots
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
Xueliang Zhao
Chongyang Tao
Wei Yu Wu
Can Xu
Dongyan Zhao
Rui Yan
19
41
0
11 Jun 2019
Multi-view Knowledge Graph Embedding for Entity Alignment
Multi-view Knowledge Graph Embedding for Entity Alignment
Qingheng Zhang
Zequn Sun
Wei Hu
Muhao Chen
Lingbing Guo
Yuzhong Qu
AI4TS
13
250
0
06 Jun 2019
Parallax: Visualizing and Understanding the Semantics of Embedding
  Spaces via Algebraic Formulae
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Piero Molino
Yang Wang
Jiawei Zhang
9
9
0
28 May 2019
Interactive Search and Exploration in Online Discussion Forums Using
  Multimodal Embeddings
Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
Iva Gornishka
S. Rudinac
M. Worring
14
1
0
07 May 2019
Understanding Art through Multi-Modal Retrieval in Paintings
Understanding Art through Multi-Modal Retrieval in Paintings
Noa Garcia
B. Renoust
Yuta Nakashima
11
4
0
24 Apr 2019
Poly-encoders: Transformer Architectures and Pre-training Strategies for
  Fast and Accurate Multi-sentence Scoring
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
Samuel Humeau
Kurt Shuster
Marie-Anne Lachaux
Jason Weston
21
279
0
22 Apr 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer
Ledell Yu Wu
Jiajun Shen
Timothée Lacroix
Luca Wehrstedt
Abhijit Bose
A. Peysakhovich
GNN
14
384
0
28 Mar 2019
Learning to Speak and Act in a Fantasy Text Adventure Game
Learning to Speak and Act in a Fantasy Text Adventure Game
Jack Urbanek
Angela Fan
Siddharth Karamcheti
Saachi Jain
Samuel Humeau
Emily Dinan
Tim Rocktaschel
Douwe Kiela
Arthur Szlam
Jason Weston
LLMAG
20
205
0
07 Mar 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSL
AI4TS
14
440
0
30 Jan 2019
Large-scale Collaborative Filtering with Product Embeddings
Large-scale Collaborative Filtering with Product Embeddings
Thom Lake
Sinead Williamson
Alexander T. Hawk
Christopher C. Johnson
Benjamin Wing
19
10
0
11 Jan 2019
Vector representations of text data in deep learning
Vector representations of text data in deep learning
Karol Grzegorczyk
11
12
0
07 Jan 2019
Tartan: A retrieval-based socialbot powered by a dynamic finite-state
  machine architecture
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
George Larionov
Zachary Kaden
Hima Varsha Dureddy
G. B. Kalejaiye
Mihir Kale
Srividya Pranavi Potharaju
Ankit Parag Shah
Alexander I. Rudnicky
9
17
0
04 Dec 2018
Few-Shot Generalization Across Dialogue Tasks
Few-Shot Generalization Across Dialogue Tasks
Vladimir Vlasov
Akela Drissner-Schmid
Alan Nichol
11
33
0
28 Nov 2018
End-to-End Retrieval in Continuous Space
End-to-End Retrieval in Continuous Space
D. Gillick
Alessandro Presta
Gaurav Singh Tomar
6
101
0
19 Nov 2018
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Emily Dinan
Stephen Roller
Kurt Shuster
Angela Fan
Michael Auli
Jason Weston
RALM
KELM
33
932
0
03 Nov 2018
Vector Learning for Cross Domain Representations
Vector Learning for Cross Domain Representations
Shagan Sah
Chi Zhang
Thang Nguyen
D. Peri
Ameya Shringi
R. Ptucha
GAN
16
3
0
27 Sep 2018
Semantically Invariant Text-to-Image Generation
Semantically Invariant Text-to-Image Generation
Shagan Sah
D. Peri
Ameya Shringi
Chi Zhang
Miguel Domínguez
Andreas E. Savakis
R. Ptucha
EGVM
17
9
0
27 Sep 2018
Using the Tsetlin Machine to Learn Human-Interpretable Rules for
  High-Accuracy Text Categorization with Medical Applications
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
30
75
0
12 Sep 2018
A Correlation Maximization Approach for Cross Domain Co-Embeddings
A Correlation Maximization Approach for Cross Domain Co-Embeddings
Dan Shiebler
6
0
0
10 Sep 2018
Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-Target Prediction: A Unifying View on Problems and Methods
Willem Waegeman
Krzysztof Dembczyñski
Eyke Huellermeier
14
81
0
07 Sep 2018
Context Mover's Distance & Barycenters: Optimal Transport of Contexts
  for Building Representations
Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations
Sidak Pal Singh
Andreas Hug
Aymeric Dieuleveut
Martin Jaggi
OT
25
26
0
29 Aug 2018
Deep EHR: Chronic Disease Prediction Using Medical Notes
Deep EHR: Chronic Disease Prediction Using Medical Notes
Jingshu Liu
Zachariah Zhang
N. Razavian
15
105
0
15 Aug 2018
Global and local evaluation of link prediction tasks with neural
  embeddings
Global and local evaluation of link prediction tasks with neural embeddings
Asan Agibetov
Matthias Samwald
25
10
0
27 Jul 2018
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
33
286
0
05 Jun 2018
Breaking-down the Ontology Alignment Task with a Lexical Index and
  Neural Embeddings
Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings
Ernesto Jiménez-Ruiz
Asan Agibetov
Matthias Samwald
V. Cross
20
15
0
31 May 2018
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature
  Vectors
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
M. Khodak
Nikunj Saunshi
Yingyu Liang
Tengyu Ma
Brandon M Stewart
Sanjeev Arora
36
98
0
14 May 2018
Fast and scalable learning of neuro-symbolic representations of
  biomedical knowledge
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge
Asan Agibetov
Matthias Samwald
26
6
0
30 Apr 2018
Near-lossless Binarization of Word Embeddings
Near-lossless Binarization of Word Embeddings
Julien Tissier
Christophe Gravier
Amaury Habrard
MQ
17
50
0
24 Mar 2018
The emergent algebraic structure of RNNs and embeddings in NLP
The emergent algebraic structure of RNNs and embeddings in NLP
Sean A. Cantrell
28
2
0
07 Mar 2018
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Saizheng Zhang
Emily Dinan
Jack Urbanek
Arthur Szlam
Douwe Kiela
Jason Weston
50
1,430
0
22 Jan 2018
Cognitive Database: A Step towards Endowing Relational Databases with
  Artificial Intelligence Capabilities
Cognitive Database: A Step towards Endowing Relational Databases with Artificial Intelligence Capabilities
R. Bordawekar
Bortik Bandyopadhyay
O. Shmueli
19
27
0
19 Dec 2017
Predicting Pairwise Relations with Neural Similarity Encoders
Predicting Pairwise Relations with Neural Similarity Encoders
F. Horn
K. Müller
14
4
0
06 Feb 2017
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