activity
20082024
most citedShortcut Learning in Deep Neural Networks

2.1k citations · 7k across the 69 of their papers we have counts for

collaborators

71 papers

q-bio.NC2024★ 1 cited

Most discriminative stimuli for functional cell type clustering

Max F. Burg, Thomas Zenkel, Michaela Vystrčilová +15

Identifying cell types and understanding their functional properties is crucial for unraveling the mechanisms underlying perception and cognition. In the retina, functional types c…

cs.LG2023★ 4 cited

Compositional Generalization from First Principles

Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge +1

Leveraging the compositional nature of our world to expedite learning and facilitate generalization is a hallmark of human perception. In machine learning, on the other hand, achie…

cs.LG2023★ 3 cited

RDumb: A simple approach that questions our progress in continual test-time adaptation

Ori Press, Steffen Schneider, Matthias Kümmerer +1

Test-Time Adaptation (TTA) allows to update pre-trained models to changing data distributions at deployment time. While early work tested these algorithms for individual fixed dist…

cs.CL2023★ 54 cited

Playing repeated games with Large Language Models

Elif Akata, Lion Schulz, Julian Coda-Forno +3

LLMs are increasingly used in applications where they interact with humans and other agents. We propose to use behavioural game theory to study LLM's cooperation and coordination b…

cs.LG2023

Modulated Neural ODEs

Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane +2

Neural ordinary differential equations (NODEs) have been proven useful for learning non-linear dynamics of arbitrary trajectories. However, current NODE methods capture variations…

cs.LG2021★ 1 cited

Disentanglement and Generalization Under Correlation Shifts

Christina M. Funke, Paul Vicol, Kuan-Chieh Wang +3

Correlations between factors of variation are prevalent in real-world data. Exploiting such correlations may increase predictive performance on noisy data; however, often correlati…