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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...
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02/08/2021
Colorization Transformer
We present the Colorization Transformer, a novel approach for diverse hi...
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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 ...
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12/20/2019
Axial Attention in Multidimensional Transformers
We propose Axial Transformers, a self-attention-based autoregressive mod...
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06/06/2019
Scaling Autoregressive Video Models
Due to the statistical complexity of video, the high degree of inherent ...
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06/20/2018
Jack the Reader - A Machine Reading Framework
Many Machine Reading and Natural Language Understanding tasks require re...
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05/04/2018
Cross-lingual Candidate Search for Biomedical Concept Normalization
Biomedical concept normalization links concept mentions in texts to a se...
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06/26/2017
Neural Question Answering at BioASQ 5B
This paper describes our submission to the 2017 BioASQ challenge. We par...
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06/12/2017
Neural Domain Adaptation for Biomedical Question Answering
Factoid question answering (QA) has recently benefited from the developm...
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06/08/2017
Dynamic Integration of Background Knowledge in Neural NLU Systems
Common-sense or background knowledge is required to understand natural l...
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03/14/2017
Making Neural QA as Simple as Possible but not Simpler
Recent development of large-scale question answering (QA) datasets trigg...
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09/02/2016
SynsetRank: Degree-adjusted Random Walk for Relation Identification
In relation extraction, a key process is to obtain good detectors that f...
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07/12/2016
Separating Answers from Queries for Neural Reading Comprehension
We present a novel neural architecture for answering queries, designed t...
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06/13/2016
Neural Associative Memory for Dual-Sequence Modeling
Many important NLP problems can be posed as dual-sequence or sequence-to...
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06/09/2016
