Datalab-Seminar
Introduction
We invite Data Science experts to present and discuss topics relevant to the scope of Datalab. The seminar usually takes place every two weeks, on Wednesdays from 12:00-13:00 at the Winterthur Campus of ZHAW.
Future Events
| Date | Time&Place | Speaker | Title | Abstract |
|---|---|---|---|---|
| Wed, 23.6. | 12:00-13:00, Zoom | Lukas Tuggener (ZHAW CAI) | Is it Enough to Optimize CNN Architectures on ImageNet? | An implicit but pervasive hypothesis of modern computer vision research is that convolutional neural network (CNN) architectures that perform better on ImageNet will also perform better on other vision datasets. We challenge this hypothesis through an extensive empirical study for which we train 500 sampled CNN architectures on ImageNet as well as 8 other image classification datasets from a wide array of application domains. The relationship between architecture and performance varies wildly, between the datasets. For some of the datasets, the performance correlation with ImageNet is even negative. Clearly, it is not enough to optimize architectures solely for ImageNet when aiming for progress that is relevant for all applications. We identify two dataset-specific performance indicators: the cumulative width across layers as well as the total depth of the network. Lastly, we show that the range of dataset variability covered by ImageNet can be significantly extended by adding ImageNet subsets restricted to fewer classes. |
Past Events (2020)
| Date | Speaker | Title | Slides |
|---|---|---|---|
| Wed 02.12. |
Pia Viviani (catta.ch) |
Citizen Science: What is it exactly and what are the challenges? | |
| Wed 21.10. |
Daniel Neururer (ZHAW) |
On the Importance of time dependent features for Speaker Recognition | |
| Wed 09.09. |
Raphael Weber, Mehmet Yesil, Prof. Dr. Ruedi Füchslin and Prof. Dr. Kurt Stockinger (ZHAW) |
Quantum Databases and Quantum Machine Learning – How Far Can We Go on a Publicly Available Quantum Computer? | |
| Wed 08.04. |
Dr. Ricardo Chavarriaga (ZHAW InIT) |
Presentation of the CLAIRE Office Switzerland | |
| Wed, 11.03. |
Nicolas Schmid (ZHAW IAMP) |
Data-Driven Adaptive Controller Parameterisation: A Bayesian Optimization Approach | |
| Thu, 05.03. |
Prof. Philipp Hungerländer (Univ. Klagenfurt) |
Propagation of vibroacoustic quality specifications in the automotive industry | |
| Wed, 26.02. |
Ursin Brunner and Prof. Kurt Stockinger (ZHAW InIT) |
Entity Matching with Transformer Architectures - A Step Forward in Data Integration | Prezi |
| Wed, 29.01. |
Prof. Kerrie Mengersen (Queensland University of Technology QUT) |
Bayesian Statistics in the Big Data Era |
Past Events (2019)
| Date | Speaker | Title | Slides |
|---|---|---|---|
| Wed, 18.12. |
Prof. Dr. Luca Maria Gambardella (Director of IDSIA, USI-SUPSI, Lugano) |
Innovation through Artificial Intelligence | |
| Fri, 15.11. |
PD Dr. Friedhelm Schwenker (University of Ulm) |
Artificial deep neural networks for multimodal emotion recognition | |
| Thu, 12.09. |
Dr. Siavash Arjomand Bigdeli (CSEM) |
Deep Density Approximation for Bayesian Image Restoration | |
| Fri, 09.08. |
Prof. Haiwang Cao (Zhengzhou University of Aeronautics, China) |
AI application in safety support for civil airports | |
| Mon, 15.07. |
Prof. Dr. Mark Sanderson (RMIT University, Melbourne) |
Conferences vs. journals in computer science | |
| Mon, 20.05. |
Dr. Vasileios Trigonakis (Oracle Labs Switzerland) |
Introduction to Graph Processing (with PGX) |