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Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
22 December 2014
Pascal Vincent
A. D. Brébisson
Xavier Bouthillier
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Papers citing
"Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets"
12 / 12 papers shown
Title
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
Shaoshi Sun
Zhenyuan Zhang
B. Huang
Pengbin Lei
Jianlin Su
Shengfeng Pan
Jiarun Cao
UQCV
13
7
0
23 Dec 2021
Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism
Shulun Wang
Bin Liu
Feng Liu
25
16
0
16 Aug 2021
Optimal Approximation -- Smoothness Tradeoffs for Soft-Max Functions
Alessandro Epasto
Mohammad Mahdian
Vahab Mirrokni
Manolis Zampetakis
23
15
0
22 Oct 2020
Sampled Softmax with Random Fourier Features
A. S. Rawat
Jiecao Chen
Felix X. Yu
A. Suresh
Sanjiv Kumar
36
55
0
24 Jul 2019
Improving Negative Sampling for Word Representation using Self-embedded Features
Long Chen
Fajie Yuan
J. Jose
Weinan Zhang
SSL
26
43
0
26 Oct 2017
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Miguel Angel Bautista
A. Sanakoyeu
Bjorn Ommer
DRL
SSL
14
28
0
07 Apr 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
37
171
0
05 Mar 2017
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
Yacine Jernite
A. Choromańska
David Sontag
25
35
0
14 Oct 2016
Efficient softmax approximation for GPUs
Edouard Grave
Armand Joulin
Moustapha Cissé
David Grangier
Hervé Jégou
23
270
0
14 Sep 2016
The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family
A. D. Brébisson
Pascal Vincent
17
10
0
29 Apr 2016
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies
Shihao Ji
S.V.N. Vishwanathan
N. Satish
Michael J. Anderson
Pradeep Dubey
13
77
0
21 Nov 2015
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
A. D. Brébisson
Pascal Vincent
11
97
0
16 Nov 2015
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