Spain

ECAI 2020

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

sentiment analysis and argument mining

transfer/adaptation/multi-task learning

text classification

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.

technical paper

Mean field theory for deep dropout networks

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

https://d3smihljt9218e.cloudfront.net/transcript/955/subtitle/9b02b6a1059bc85597d4fc7180e0a9d2.vtt

English (automatic)

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Next from ECAI 2020

Mean field theory for deep dropout networks

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A Graph-based Measurement for Text Imbalance Classiﬁcation

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Next from ECAI 2020

Mean field theory for deep dropout networks

Similar lecture

A Graph-based Measurement for Text Imbalance Classiﬁcation

Downloads