Spain

ECAI 2020

Understanding and Training Deep Diagonal Circulant Neural Networks

circulant matrices

compression

deep learning

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!

stages 

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

technical paper

Harmonic Recurrent Process for Time Series Forecasting

IntuiGeo: Interactive tutor for online geometry problems resolution on pen-based tablets

Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees

Joint 3D Face Reconstruction and Dense Face Alignment via Deep Face Feature Alignment

Understanding and Training Deep Diagonal Circulant Neural Networks

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Harmonic Recurrent Process for Time Series Forecasting

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