Spain

ECAI 2020

Classifying the classifier: dissecting the weight space of neural networks

machine learning

computer vision

explainable ai

deep learning

AIAI 2020 (16th International Conference on Artificial Intelligence Applications and Innovations) should be held in Halkidiki, Greece. Due to current Covid-19 situation the conference will be held virtually. Underline will host a repository of video talks and preserve them for the future. Videos will be released on Underline one day after the conference.

AIAI 2020

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.

Is hardness inherent in computational problems? Performance of human and electronic computers on random instances of the 0-1 knapsack problem.

A Multilayered Informative Random Walk for Attributed Social Network Embedding

Semantics of negative sequential patterns

Maximum Entropy Reinforced Single Object Visual Tracking

Preprocessing in Incomplete MaxSAT Solving

Resilient Distributed Constraints Optimization in Physical Multi-Agent Systems

Committee Selection with Multimodal Preferences

Consolidating Modal Knowledge Bases

Finding Quantum Critical Points with Neural-Network Quantum States

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

https://d3smihljt9218e.cloudfront.net/transcript/1190/subtitle/a7f72637ab27b38bf256180f491d417e.vtt

English (automatic)

Classifying the classifier: dissecting the weight space of neural networks

Downloads

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Is hardness inherent in computational problems? Performance of human and electronic computers on random instances of the 0-1 knapsack problem.

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Classifying the classifier: dissecting the weight space of neural networks

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Next from ECAI 2020

Is hardness inherent in computational problems? Performance of human and electronic computers on random instances of the 0-1 knapsack problem.

Similar lecture

Introducing an edge-native deep learning platform for exergames

Downloads