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Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies

18 March 2020
Paul Pu Liang
Manzil Zaheer
Yuan Wang
Amr Ahmed
    BDL
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Papers citing "Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies"

6 / 6 papers shown
Title
Dynamic Embedded Topic Models: properties and recommendations based on diverse corpora
Dynamic Embedded Topic Models: properties and recommendations based on diverse corpora
Elisabeth Fittschen
Bella Xia
Leib Celnik
Paul Dilley
Tom Lippincott
49
0
0
27 Apr 2025
Probabilistic FastText for Multi-Sense Word Embeddings
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun
A. Wilson
Anima Anandkumar
26
137
0
07 Jun 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
279
13,373
0
25 Aug 2014
Guess Who Rated This Movie: Identifying Users Through Subspace
  Clustering
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering
Amy Zhang
N. Fawaz
Stratis Ioannidis
Andrea Montanari
47
67
0
09 Aug 2014
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