Artificial Neural Networks and Machine Learning – ICANN 2021
Springer International Publishing
Chapter title |
Balanced softmax cross-entropy for incremental learning with and without memory
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Book title |
Artificial Neural Networks and Machine Learning – ICANN 2021
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Published in |
Computer Vision & Image Understanding, December 2022
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DOI | 10.1007/978-3-030-86340-1_31 |
Book ISBNs |
978-3-03-086339-5, 978-3-03-086340-1
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Authors |
Quentin Jodelet, Xin Liu, Tsuyoshi Murata |
Country | Count | As % |
---|---|---|
Belgium | 1 | 20% |
Japan | 1 | 20% |
Unknown | 3 | 60% |
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Student > Master | 2 | 11% |
Researcher | 2 | 11% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 8 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 39% |
Agricultural and Biological Sciences | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 9 | 50% |