Spain

ECAI 2020

Directional Adversarial Training for Recommender Systems

collaborative

recommender systems

adversarial training

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.

A Lightweight Recurrent Attention Network for Real-time Guidewire Segmentation and Tracking in Interventional X-ray Fluoroscopy

Continual egocentric object recognition

OpenSMax: Unknown Domain Generation Algorithm Detection

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

A Two-Stage Multi-Objective Deep Reinforcement Learning Framework

Online Probabilistic Interval-based Event Calculus

Saliency Detection with Deformable Convolution and Feature Attention

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings

https://d3smihljt9218e.cloudfront.net/transcript/971/subtitle/e6bf3446cdeb4f06127ef79a29c38665.vtt

English (automatic)

Directional Adversarial Training for Recommender Systems

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A Lightweight Recurrent Attention Network for Real-time Guidewire Segmentation and Tracking in Interventional X-ray Fluoroscopy

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Learning Adversarially Robust Sparse Networks via Weight Reparameterization

Directional Adversarial Training for Recommender Systems

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Next from ECAI 2020

A Lightweight Recurrent Attention Network for Real-time Guidewire Segmentation and Tracking in Interventional X-ray Fluoroscopy

Similar lecture

Learning Adversarially Robust Sparse Networks via Weight Reparameterization

Downloads