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Softmax function
Known as:
Normalized exponential
, Softmax
, Softmax activation function
In mathematics, in particular probability theory and related fields, the softmax function, or normalized exponential, is a generalization of the…
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Related topics
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18 relations
Activation function
Artificial neural network
Convolutional neural network
Cross entropy
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Broader (1)
Computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
A Simple Class Decision Balancing for Incremental Learning
Hongjoon Ahn
,
Taesup Moon
arXiv.org
2020
Corpus ID: 214727773
Class incremental learning (CIL) problem, in which a learning agent continuously learns new classes from incrementally arriving…
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2018
2018
Knowledge Distillation from Few Samples
Tianhong Li
,
Jianguo Li
,
Zhuang Liu
,
Changshui Zhang
arXiv.org
2018
Corpus ID: 54458020
Current knowledge distillation methods require full training data to distill knowledge from a large "teacher" network to a…
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2016
2016
SemEval-2016 Task 4 : Deep Learning Architecture for Twitter Sentiment Analysis
Dario Stojanovski
,
Gjorgji Strezoski
,
Gjorgji Madjarov
,
I. Dimitrovski
2016
Corpus ID: 2115492
In this paper, we present a novel deep learning architecture for sentiment analysis in Twitter messages. Our system finki…
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2016
2016
Real Time Fine-Grained Categorization with Accuracy and Interpretability
Shaoli Huang
,
D. Tao
arXiv.org
2016
Corpus ID: 10370699
A well-designed fine-grained categorization system usually has three contradictory requirements: accuracy (the ability to…
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Review
2016
Review
2016
The Video-Based Age and Gender Recognition with Convolution Neural Networks
A. Kharchevnikova
,
A. Savchenko
2016
Corpus ID: 69971544
The paper reviews the problem of age and gender recognition methods for video data using modern deep convolutional neural…
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2015
2015
The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015
Avirup Sil
,
Georgiana Dinu
,
Radu Florian
Text Analysis Conference
2015
Corpus ID: 35311824
This paper describes the IBM systems for the Trilingual Entity Discovery and Linking (EDL) for the TAC 2016 Knowledge-Base…
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2015
2015
Comprehend DeepWalk as Matrix Factorization
Cheng Yang
,
Zhiyuan Liu
arXiv.org
2015
Corpus ID: 17519375
Word2vec, as an efficient tool for learning vector representation of words has shown its effectiveness in many natural language…
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2014
2014
Comparison of Modern Stochastic Optimization Algorithms
G. Papamakarios
2014
Corpus ID: 39037503
Gradient-based optimization methods are popular in machine learning applications. In large-scale problems, stochastic methods are…
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2012
2012
A Note on the Generalized q-Euler Numbers and Polynomials with Weak Weight α
C. Ryoo
2012
Corpus ID: 1205222
In this paper we introduce the generalized q-Euler numbers E (α) n,χ,q and polynomials E (α) n,χ,q(x) with weak weight…
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2011
2011
A Study on the p-Adic q-Integral Representation on � p Associated with the Weighted q-Bernstein and q-Bernoulli Polynomials
2011
Corpus ID: 35951538
Let p be a fixed prime number. Throughout this paper, p, p , and p will denote the ring of p-adic integers, the field of p-adic…
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