Spain

ECAI 2020

Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting

spatio-temporal forecasting

seq2seq

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

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.

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.

Polynomial-time Implicit Learnability in SMT

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Joint Modeling of Local and Global Behavior Dynamics for Session-based Recommendation

Learning Chordal Markov Networks via Stochastic Local Search

Learning Variable Ordering Heuristics with Multi-Armed Bandits and Restarts

Learning Joint Job Embeddings using a Job-Oriented Asymmetrical Pairing System

Prioritized Simple Contrapositive Assumption-Based Frameworks

ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

Search for Better Students to Learn Distilled Knowledge

https://d3smihljt9218e.cloudfront.net/transcript/1224/subtitle/2baea0e31e20427db38fbabd5f628174.vtt

English (automatic)

Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting

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Polynomial-time Implicit Learnability in SMT

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Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing

Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting

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Next from ECAI 2020

Polynomial-time Implicit Learnability in SMT

Similar lecture

Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing

Downloads