Steffen Schneider | DeepAI

DeepAI AI Chat

Featured Co-authors

Bernhard Schölkopf
271 publications
Thomas Brox
103 publications
Michael Auli
68 publications
Matthias Bethge
63 publications
Francesco Locatello
53 publications
Ronan Collobert
50 publications
Dorit Merhof
39 publications
Wieland Brendel
37 publications
Alexei Baevski
36 publications
Julius von Kügelgen
31 publications
Yash Sharma
27 publications

∙ 06/08/2023

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

Test-Time Adaptation (TTA) allows to update pretrained models to changin...

0 Ori Press, et al. ∙

∙ 04/01/2022

Learnable latent embeddings for joint behavioral and neural analysis

Mapping behavioral actions to neural activity is a fundamental goal of n...

6 Steffen Schneider, et al. ∙

∙ 10/13/2021

Unsupervised Object Learning via Common Fate

Learning generative object models from unlabelled videos is a long stand...

7 Matthias Tangemann, et al. ∙

∙ 04/27/2021

Adapting ImageNet-scale models to complex distribution shifts with self-learning

While self-learning methods are an important component in many recent do...

0 Evgenia Rusak, et al. ∙

∙ 02/17/2021

Contrastive Learning Inverts the Data Generating Process

Contrastive learning has recently seen tremendous success in self-superv...

8 Roland S. Zimmermann, et al. ∙

∙ 09/01/2020

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives

Extracting behavioral measurements non-invasively from video is stymied ...

8 Alexander Mathis, et al. ∙

∙ 06/30/2020

Improving robustness against common corruptions by covariate shift adaptation

Today's state-of-the-art machine vision models are vulnerable to image c...

5 Steffen Schneider, et al. ∙

∙ 10/12/2019

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

We propose vq-wav2vec to learn discrete representations of audio segment...

0 Alexei Baevski, et al. ∙

∙ 04/11/2019

wav2vec: Unsupervised Pre-training for Speech Recognition

We explore unsupervised pre-training for speech recognition by learning ...

0 Steffen Schneider, et al. ∙

∙ 08/14/2017

Context-based Normalization of Histological Stains using Deep Convolutional Features

While human observers are able to cope with variations in color and appe...

0 Daniel Bug, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world