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Sigsoftmax: Reanalysis of the Softmax Bottleneck

Sigsoftmax: Reanalysis of the Softmax Bottleneck

28 May 2018
Sekitoshi Kanai
Yasuhiro Fujiwara
Yuki Yamanaka
S. Adachi
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Papers citing "Sigsoftmax: Reanalysis of the Softmax Bottleneck"

6 / 6 papers shown
Title
Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in
  Practice
Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice
Andreas Grivas
Nikolay Bogoychev
Adam Lopez
15
9
0
12 Mar 2022
Evidential Softmax for Sparse Multimodal Distributions in Deep
  Generative Models
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen
Masha Itkina
Ransalu Senanayake
Mykel J. Kochenderfer
41
6
0
27 Oct 2021
Softmax-based Classification is k-means Clustering: Formal Proof,
  Consequences for Adversarial Attacks, and Improvement through Centroid Based
  Tailoring
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring
Sibylle Hess
W. Duivesteijn
Decebal Constantin Mocanu
25
12
0
07 Jan 2020
Improving Neural Language Modeling via Adversarial Training
Improving Neural Language Modeling via Adversarial Training
Dilin Wang
Chengyue Gong
Qiang Liu
AAML
43
115
0
10 Jun 2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise
  Non-linearities
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
O. Ganea
Sylvain Gelly
Gary Bécigneul
Aliaksei Severyn
29
18
0
21 Feb 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
38
3,679
0
09 Jan 2019
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