• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 50 matches

• 2021
• 
  Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
  CycleGAN Through the Lens of (Dynamical) Optimal Transport. ECML/PKDD (2) 2021: 132-147
• 
  Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
  GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) 2021: 36-51
• 
  Mirko Bunse, Katharina Morik:
  Certification of Model Robustness in Active Class Selection. ECML/PKDD (2) 2021: 266-281
• 
  Judith Bütepage, Lucas Maystre, Mounia Lalmas:
  Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty. ECML/PKDD (2) 2021: 84-99
• 
  Maarten Buyl, Tijl De Bie:
  The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer. ECML/PKDD (2) 2021: 351-366
• 
  Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang, Dan Peng:
  Probing Negative Sampling for Contrastive Learning to Learn Graph Representations. ECML/PKDD (2) 2021: 434-449
• 
  Soham Dan, Han Bao, Masashi Sugiyama:
  Learning from Noisy Similar and Dissimilar Data. ECML/PKDD (2) 2021: 233-249
• 
  Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya:
  Finding High-Value Training Data Subset Through Differentiable Convex Programming. ECML/PKDD (2) 2021: 666-681
• 
  Hichem Debbi:
  Causal Explanation of Convolutional Neural Networks. ECML/PKDD (2) 2021: 633-649
• 
  Boxiang Dong, Bo Zhang, Wendy Hui Wang:
  VeriDL: Integrity Verification of Outsourced Deep Learning Services. ECML/PKDD (2) 2021: 583-598
• 
  Yingpeng Du, Hongzhi Liu, Zhonghai Wu:
  Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. ECML/PKDD (2) 2021: 516-531
• 
  Alexandre Duval, Fragkiskos D. Malliaros:
  GraphSVX: Shapley Value Explanations for Graph Neural Networks. ECML/PKDD (2) 2021: 302-318
• 
  Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld:
  Principled Interpolation in Normalizing Flows. ECML/PKDD (2) 2021: 116-131
• 
  Mahsa Forouzesh, Patrick Thiran:
  Disparity Between Batches as a Signal for Early Stopping. ECML/PKDD (2) 2021: 217-232
• 
  Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
  Learning Unbiased Representations via Rényi Minimization. ECML/PKDD (2) 2021: 749-764
• 
  Hongyu Guo:
  Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions. ECML/PKDD (2) 2021: 184-199
• 
  Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy:
  On Generalization of Graph Autoencoders with Adversarial Training. ECML/PKDD (2) 2021: 367-382
• 
  Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Jin Sean Lim:
  Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) 2021: 699-714
• 
  Xuan Kan, Hejie Cui, Carl Yang:
  Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. ECML/PKDD (2) 2021: 466-482
• 
  Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Zhiwei Han, Martin Kleinsteuber:
  Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection. ECML/PKDD (2) 2021: 19-35
• 
  Tomás Komárek, Jan Brabec, Petr Somol:
  Explainable Multiple Instance Learning with Instance Selection Randomized Trees. ECML/PKDD (2) 2021: 715-730
• 
  Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri:
  A Unified Batch Selection Policy for Active Metric Learning. ECML/PKDD (2) 2021: 599-616
• 
  Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson:
  Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) 2021: 148-163
• 
  Shouheng Li, Dongwoo Kim, Qing Wang:
  Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. ECML/PKDD (2) 2021: 450-465
• 
  Arnaud Van Looveren, Janis Klaise:
  Interpretable Counterfactual Explanations Guided by Prototypes. ECML/PKDD (2) 2021: 650-665
• 
  Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan:
  Reconnaissance for Reinforcement Learning with Safety Constraints. ECML/PKDD (2) 2021: 567-582
• 
  Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
  Correlation Clustering with Global Weight Bounds. ECML/PKDD (2) 2021: 499-515
• 
  Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens:
  The Bures Metric for Generative Adversarial Networks. ECML/PKDD (2) 2021: 52-66
• 
  Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
  PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) 2021: 532-547
• 
  Philip Naumann, Eirini Ntoutsi:
  Consequence-Aware Sequential Counterfactual Generation. ECML/PKDD (2) 2021: 682-698

skipping 20 more matches