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

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

technical paper

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.

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)

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

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Fleet-Wide Policy Iteration using Gaussian Processes

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Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks

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

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Next from ECAI 2020

Fleet-Wide Policy Iteration using Gaussian Processes

Similar lecture

Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks

Downloads