1 code implementation • 10 Jul 2023 • Fabian Paischer, Markus Hofmarcher, Sepp Hochreiter, Thomas Adler
We propose a more efficient training protocol that fits a linear mapping between image and text embeddings of CLIP via a closed-form solution.
1 code implementation • NeurIPS 2023 • Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
That is, the performance on the pre-training tasks deteriorates when fine-tuning on new tasks.
1 code implementation • NeurIPS 2023 • Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
Then we feed these tokens to a pretrained language model that serves the agent as memory and provides it with a coherent and human-readable representation of the past.
2 code implementations • 8 Nov 2021 • Kajetan Schweighofer, Andreas Radler, Marius-Constantin Dinu, Markus Hofmarcher, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
The dataset characteristics are determined by the behavioral policy that samples this dataset.
1 code implementation • 29 Sep 2020 • Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
For such complex tasks, the recently proposed RUDDER uses reward redistribution to leverage steps in the Q-function that are associated with accomplishing sub-tasks.
General Reinforcement Learning Multiple Sequence Alignment +1
1 code implementation • 25 Mar 2020 • Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs.
no code implementations • 14 Nov 2019 • Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer
The aim of this study is to evaluate whether it is possible to detect basal cell carcinomas in histological sections using attention-based deep learning models and to overcome the ultra-high resolution and the weak labels of whole slide images.
no code implementations • 9 Oct 2019 • Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter
We introduce Patch Refinement a two-stage model for accurate 3D object detection and localization from point cloud data.
Ranked #1 on Object Detection on KITTI Cars Moderate
no code implementations • ICLR 2019 • Markus Hofmarcher, Elisabeth Rumetshofer, Sepp Hochreiter, Günter Klambauer
Surprisingly, we could predict 29% of the 209 pharmacological assays at high predictive performance (AUC > 0. 9).
1 code implementation • ICLR 2019 • Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
We present the largest comparison of CNN architectures including GapNet-PL for protein localization in HTI images of human cells.
2 code implementations • 1 Jun 2016 • Michael Treml, Jose A. Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh, Felix Friedmann, Peter Schuberth, Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Bernhard Nessler, Sepp Hochreiter
We propose a novel deep network architecture for image segmentation that keeps the high accuracy while being efficient enough for embedded devices.