Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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(FIVE YEARS 43)

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(FIVE YEARS 1)

Published By Springer International Publishing

9783030676605, 9783030676612

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Learning Implicit Generative Models by Teaching Density Estimators

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_15 ◽

2021 ◽

pp. 239-255

Author(s):

Kun Xu ◽

Chao Du ◽

Chongxuan Li ◽

Jun Zhu ◽

Bo Zhang

Keyword(s):

Generative Models ◽

Density Estimators

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Online Partial Label Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_27 ◽

2021 ◽

pp. 455-470

Author(s):

Haobo Wang ◽

Yuzhou Qiang ◽

Chen Chen ◽

Weiwei Liu ◽

Tianlei Hu ◽

...

Keyword(s):

Partial Label Learning

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Metric Learning for Categorical and Ambiguous Features: An Adversarial Method

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_14 ◽

2021 ◽

pp. 223-238

Author(s):

Xiaochen Yang ◽

Mingzhi Dong ◽

Yiwen Guo ◽

Jing-Hao Xue

Keyword(s):

Metric Learning

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FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_21 ◽

2021 ◽

pp. 348-363

Author(s):

Wei Chen ◽

Kartikeya Bhardwaj ◽

Radu Marculescu

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Activation Anomaly Analysis

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_5 ◽

2021 ◽

pp. 69-84

Author(s):

Philip Sperl ◽

Jan-Philipp Schulze ◽

Konstantin Böttinger

Keyword(s):

Anomaly Analysis

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Knowledge Elicitation Using Deep Metric Learning and Psychometric Testing

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_10 ◽

2021 ◽

pp. 154-169

Author(s):

Lu Yin ◽

Vlado Menkovski ◽

Mykola Pechenizkiy

Keyword(s):

Metric Learning ◽

Psychometric Testing ◽

Knowledge Elicitation ◽

Deep Metric Learning

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Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_30 ◽

2021 ◽

pp. 509-524

Author(s):

Arjun Manoharan ◽

Rahul Ramesh ◽

Balaraman Ravindran

Keyword(s):

Reinforcement Learning

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A Principle of Least Action for the Training of Neural Networks

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_7 ◽

2021 ◽

pp. 101-117

Author(s):

Skander Karkar ◽

Ibrahim Ayed ◽

Emmanuel de Bézenac ◽

Patrick Gallinari

Keyword(s):

Neural Networks ◽

Least Action ◽

Principle Of Least Action

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Scalable Backdoor Detection in Neural Networks

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_18 ◽

2021 ◽

pp. 289-304

Author(s):

Haripriya Harikumar ◽

Vuong Le ◽

Santu Rana ◽

Sourangshu Bhattacharya ◽

Sunil Gupta ◽

...

Keyword(s):

Neural Networks

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Graph Diffusion Wasserstein Distances

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-67661-2_34 ◽

2021 ◽

pp. 577-592

Author(s):

Amélie Barbe ◽

Marc Sebban ◽

Paulo Gonçalves ◽

Pierre Borgnat ◽

Rémi Gribonval

Keyword(s):

Wasserstein Distances

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Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Learning Implicit Generative Models by Teaching Density Estimators

Online Partial Label Learning

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method

FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning

Activation Anomaly Analysis

Knowledge Elicitation Using Deep Metric Learning and Psychometric Testing

Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning

A Principle of Least Action for the Training of Neural Networks

Scalable Backdoor Detection in Neural Networks

Graph Diffusion Wasserstein Distances

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
Latest Publications