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  • Conference proceedings
  • © 2021

Machine Learning and Knowledge Discovery in Databases. Research Track

European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12976)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2021.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xxxv
  2. Generative Models

    1. Front Matter

      Pages 1-1
    2. Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection

      • Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Zhiwei Han, Martin Kleinsteuber
      Pages 19-35
    3. GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs

      • Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
      Pages 36-51
    4. The Bures Metric for Generative Adversarial Networks

      • Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
      Pages 52-66
    5. Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More

      • Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji
      Pages 67-83
    6. Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty

      • Judith Bütepage, Lucas Maystre, Mounia Lalmas
      Pages 84-99
    7. Variational Hyper-encoding Networks

      • Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
      Pages 100-115
    8. Principled Interpolation in Normalizing Flows

      • Samuel G. Fadel, Sebastian Mair, Ricardo da S. Torres, Ulf Brefeld
      Pages 116-131
    9. CycleGAN Through the Lens of (Dynamical) Optimal Transport

      • Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari
      Pages 132-147
    10. Decoupling Sparsity and Smoothness in Dirichlet Belief Networks

      • Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
      Pages 148-163
  3. Algorithms and Learning Theory

    1. Front Matter

      Pages 165-165
    2. Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound

      • Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
      Pages 167-183
    3. Learning Weakly Convex Sets in Metric Spaces

      • Eike Stadtländer, Tamás Horváth, Stefan Wrobel
      Pages 200-216
    4. Disparity Between Batches as a Signal for Early Stopping

      • Mahsa Forouzesh, Patrick Thiran
      Pages 217-232
    5. Learning from Noisy Similar and Dissimilar Data

      • Soham Dan, Han Bao, Masashi Sugiyama
      Pages 233-249
    6. Knowledge Distillation with Distribution Mismatch

      • Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran et al.
      Pages 250-265
    7. Certification of Model Robustness in Active Class Selection

      • Mirko Bunse, Katharina Morik
      Pages 266-281

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III
  4. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part IV
  5. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part V
  6. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

    International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
  7. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

    International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II

About this book

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. 

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Keywords

  • applied computing
  • communication systems
  • computer graphics
  • computer networks
  • computer security
  • computer systems
  • graph theory
  • knowledge representation and reasoning
  • law, social and behavioral sciences
  • learning
  • machine learning
  • mathematics
  • natural language processing systems
  • network protocols
  • neural networks
  • probability
  • probability and statistics
  • signal processing
  • telecommunication systems
  • wireless telecommunication systems

Editors and Affiliations

  • ELLIS - The European Laboratory for Learning and Intelligent Systems, Alicante, Spain

    Nuria Oliver

  • ETHZ and EPFL, Zürich, Switzerland

    Fernando Pérez-Cruz

  • Johannes Gutenberg University of Mainz, Mainz, Germany

    Stefan Kramer

  • École Polytechnique, Palaiseau, France

    Jesse Read

  • Basque Center for Applied Mathematics, Bilbao, Spain

    Jose A. Lozano

Bibliographic Information

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-86520-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 119.99
Price excludes VAT (USA)