Spain

ECAI 2020

Mean field theory for deep dropout networks

trainable length

deep dropout networks

mean field theoy

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.

Adaptive Interaction Fusion Networks for Fake News Detection

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

Bidding in Spades

Adversarial Domain Adaptation Being Aware of Class Relationships

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

A Graph-based Measurement for Text Imbalance Classiﬁcation

MobiSenseUs - Inferring Objective and Subjective Well-Being from Mobile Data

Matching Questions and Answers in Dialogues from Online Forums

Sequence Prediction Model for Aspect-level Sentiment Classification

Task-Aware Performance Prediction for Efficient Architecture Search

https://d3smihljt9218e.cloudfront.net/transcript/958/subtitle/4fc68d32df2d2e0d30c1bc2d734a3da7.vtt

English (automatic)

Mean field theory for deep dropout networks

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Adaptive Interaction Fusion Networks for Fake News Detection

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Training Meta-Surrogate Model for Transferable Adversarial Attack

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Mean field theory for deep dropout networks

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Next from ECAI 2020

Adaptive Interaction Fusion Networks for Fake News Detection

Similar lecture

Training Meta-Surrogate Model for Transferable Adversarial Attack

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads