Spain

ECAI 2020

Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network

self-paced learning

deep active leaning

answer selection

bayesian neural network

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

Fleet-Wide Policy Iteration using Gaussian Processes

Learning Normative Behaviors through Abstraction

A Formal Model of Affordances for Flexible Robotic Task Execution

Meta-Embedding as Auxiliary Task Regularization

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Improving Document Classification with Multi-Sense Embeddings

Reasoning with a Bounded Number of Resources in ATL+

Rewrite or not Rewrite? ML-based Algorithm Selection for Datalog Query Answering on Knowledge Graphs

Unsupervised Adversarial Learning of Anomaly Detection in the Wild

https://d3smihljt9218e.cloudfront.net/transcript/1261/subtitle/21d2c6bd359e6271e50696e3e88b4af4.vtt

English (automatic)

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Fleet-Wide Policy Iteration using Gaussian Processes

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Next from ECAI 2020

Fleet-Wide Policy Iteration using Gaussian Processes

Similar lecture

Learning Global Pairwise Interactions with Bayesian Neural Networks

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads