Wednesday, 16:00


HIDA Lectures @ HEIBRiDS

[Translate to Englisch:] Visual_HIDA-Lectures


Helmholtz Information & Data Science Academy Lectures

The HIDA Lectures is an event series organized by HIDA together with the six Helmholtz Information & Data Science Schools. Throughout the year, the Data Science Schools invite outstanding international Data Scientists to speak about their ongoing research.

As the Schools represent all Helmholtz research areas - Energy; Earth and Environment; Health; Information; Matter; and Aeronautics, Space and Transport - the series will reflect a wide range of topics and offers a great opportunity to dive into the diversity of current approaches in Data Science.

We cordially invite the interested public and especially PhD students in the Helmholtz Association, who can gain insight into the diverse activities of the Schools and HIDA but most importantly discuss with international researchers about different application fields of Data Science.

All lectures of the series are public.

The host of this HIDA Lecture is Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS).


Date: June 16 2021, 4 pm

Title: "TARS: Few-Shot Learning for Natural Language Processing”

Speaker: Alan Akbik, Humboldt-Universität zu Berlin

Abstract: Machine learning models for natural language processing (NLP) are typically trained with very large amounts of labeled training data. However, such data is often not readily available and very expensive to produce. In this talk I present TARS, a novel approach in the research area of "few-shot learning" which allows us to train text classification models with little training data - or even none at all! I show how the proposed approach can be applied to a continual learning setup in which a single model learns a number of different tasks in sequence, with the goal of learning all tasks. Finally, I give a brief overview of the Flair NLP framework ( we develop in my group together with the open source community, and show how you can use TARS (and other NLP components in Flair) in your own research or industry projects.

Please register here >>


More information