Distinguished Lecture Series: Bjoern Schuller

July 4, 2023, 5:30 p.m. (CEST)

Every time we fire an expert, the performance goes up? From features to foundation models

Time: July 4, 2023, 5:30 p.m. (CEST)
  Universitätstraße 32.101, Campus Vaihingen of the University of Stuttgart. The talk will take place in person. 
Download as iCal:

The Stuttgart ELLIS Unit is pleased to announce the upcoming ELLIS Distinguished Lecture Series talk by Björn W. Schuller (Imperial College London/University of Augsburg).

Title: Every time we fire an expert, the performance goes up? From features to foundation models

Abstract:
Frederick Jelinek’s famous claim whenever he “fires a linguist, the performance of the speech recognizer goes up” makes one wonder if we could transfer and generalize it these days to best entirely excluding (human) experts from the equation when it comes to machine learning. This talk will base the according discussion on the example of spoken language processing. It will guide through the field’s evolution from expert-crafted features to self-learnt representations, to self-learnt (neural) architectures, ultimately leading to emergent intelligence of foundation models as the most recent game changer. This evolution well manifests the increasing exclusion of hand-crafted bits and pieces, which are today mostly found (only) in the labelling of data where this is needed. The talk will therefore raise the question if expert knowledge still should and if so best could be integrated in state-of-the-art and oncoming such systems. So ultimately, will the answer be to train even bigger models on even bigger data in a purely data-driven manner, or will potentially cooperative reinforced learning of real-world tasks starting from imitation learning be the answer to reach even more performant systems?

No reservation required - we are looking forward to seeing you there!

Please note: Professor Schuller will also be available for individual meetings on July 4. If you are interested in scheduling a meeting, please email ellis@uni-stuttgart.de

Bio:
Björn W. Schuller received his diploma, doctoral degree, and habilitation in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM at Imperial College London/UK, Full Professor at the University of Augsburg/Germany, and co-founding CEO/CSO of audEERING. Previous stays include Full Professor at the University of Passau/Germany, Key Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of ELLIS, Fellow of the IEEE, Fellow of the BCS, Fellow of the ISCA, Fellow and President-Emeritus of the AAAC, and Elected Full Member Sigma Xi. He (co-)authored 1,200+ publications (h-index=100+), and consults companies such as Barclays, GN, Huawei, or Samsung.

 

More information 

List of all events


June 2024

April 2024

May 2024

April 2024

March 2024

February 2024

January 2024

December 2023

November 2023

October 2023

November 2023

October 2023

August 2023

July 2023

June 2023

July 2023

June 2023

May 2023

June 2023

May 2023

March 2023

February 2023

January 2023

December 2022

January 2023

December 2022

November 2022

October 2022

September 2022

August 2022

July 2022

June 2022

May 2022

April 2022

March 2022

February 2022

January 2022

February 2022

January 2022

December 2021

October 2021

September 2021

August 2021

July 2021

June 2021

May 2021

April 2021

March 2021

February 2021

January 2021

December 2020

November 2020

October 2020

September 2020

August 2020

July 2020

June 2020

May 2020

April 2020

March 2020

February 2020

January 2020

December 2019

November 2019

October 2019

July 2019

June 2019

July 2019

June 2019

May 2019

October 2020

April 2019

May 2019

April 2019

March 2019

February 2019

January 2019

December 2018

November 2018

September 2018

To the top of the page