Spain

ECAI 2020

Maximal Correlation: An Alternative Criterion for Training Generative Networks

non-adversarial generative networks

generative modeling

image synthesis

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

technical paper

Automated Verification of Social Law Robustness for Reactive Agents

Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning

ST-MFM: A Spatiotemporal Multi-modal Fusion Model for Urban Anomalies Prediction

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

Semantic Point Completion Network for 3D Semantic Scene Completion

Learning Class-based Graph Representation for Object Detection

Generating Instantiated Argument Graphs from Probabilistic Information

Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis

Causal query in observational data with hidden variables

Adversarial Learning for Overlapping Community Detection and Network Embedding

https://d3smihljt9218e.cloudfront.net/transcript/938/subtitle/6865fcd2343866e4c5493ec01db30e06.vtt

English (automatic)

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Automated Verification of Social Law Robustness for Reactive Agents

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Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks

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Next from ECAI 2020

Automated Verification of Social Law Robustness for Reactive Agents

Similar lecture

Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks

Downloads