Dirk Weissenborn | DeepAI

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∙ 04/07/2021

Differentiable Patch Selection for Image Recognition

Neural Networks require large amounts of memory and compute to process h...

75 Jean-Baptiste Cordonnier, et al. ∙

∙ 02/08/2021

Colorization Transformer

We present the Colorization Transformer, a novel approach for diverse hi...

9 Manoj Kumar, et al. ∙

∙ 10/22/2020

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

While the Transformer architecture has become the de-facto standard for ...

6 Alexey Dosovitskiy, et al. ∙

∙ 12/20/2019

Axial Attention in Multidimensional Transformers

We propose Axial Transformers, a self-attention-based autoregressive mod...

0 Jonathan Ho, et al. ∙

∙ 06/06/2019

Scaling Autoregressive Video Models

Due to the statistical complexity of video, the high degree of inherent ...

6 Dirk Weissenborn, et al. ∙

∙ 06/20/2018

Jack the Reader - A Machine Reading Framework

Many Machine Reading and Natural Language Understanding tasks require re...

0 Dirk Weissenborn, et al. ∙

∙ 05/04/2018

Cross-lingual Candidate Search for Biomedical Concept Normalization

Biomedical concept normalization links concept mentions in texts to a se...

0 Roland Roller, et al. ∙

∙ 06/26/2017

Neural Question Answering at BioASQ 5B

This paper describes our submission to the 2017 BioASQ challenge. We par...

0 Georg Wiese, et al. ∙

∙ 06/12/2017

Neural Domain Adaptation for Biomedical Question Answering

Factoid question answering (QA) has recently benefited from the developm...

0 Georg Wiese, et al. ∙

∙ 06/08/2017

Dynamic Integration of Background Knowledge in Neural NLU Systems

Common-sense or background knowledge is required to understand natural l...

0 Dirk Weissenborn, et al. ∙

∙ 03/14/2017

Making Neural QA as Simple as Possible but not Simpler

Recent development of large-scale question answering (QA) datasets trigg...

0 Dirk Weissenborn, et al. ∙

∙ 09/02/2016

SynsetRank: Degree-adjusted Random Walk for Relation Identification

In relation extraction, a key process is to obtain good detectors that f...

0 Shinichi Nakajima, et al. ∙

∙ 07/12/2016

Separating Answers from Queries for Neural Reading Comprehension

We present a novel neural architecture for answering queries, designed t...

0 Dirk Weissenborn, et al. ∙

∙ 06/13/2016

Neural Associative Memory for Dual-Sequence Modeling

Many important NLP problems can be posed as dual-sequence or sequence-to...

0 Dirk Weissenborn, et al. ∙

∙ 06/09/2016

MuFuRU: The Multi-Function Recurrent Unit

Recurrent neural networks such as the GRU and LSTM found wide adoption i...

0 Dirk Weissenborn, et al. ∙

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