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6th December 2020
We run margin, a pre-trained sequence-to-sequence model, which was learned with an unattended, multilingual multi-document paraphrasing objective. Marge provides an alternative to the dominant masked language modeling paradigm, in which we use the reconstruction of the destination text itself by retrieving a set of relative texts (in many languages) and conditioning them to maximize the likelihood of creating the original . We show that it is possible to learn to learn to learn retrieval and reconstruction, get only random initialization. The goal is to cover the aspects of paraphrase, translation, multi-document summaries and information retrieval, so that a strong power of zero-shot performance in multiple tasks allows. For example, we can achieve bleu scores of up to 35.8 for document translation without additional task-specific training. We continue to show that fine tuning in many languages ??results in a strong performance on a number of discriminatory and generative tasks, with margin so far the most applicable pre-training method.
Natural language processing
Global modeling and argumentation of relations between the regions can be beneficial for many computer vision tasks both on images and on videos. Funclassified Neuronal Networks (CNNS) Excel to model local relationships after finding operations, but ...
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
The movement has shown that it is useful for the video understanding, whereby the movement is typically represented by optical flow. However, the calculation of video frame is very time consuming. New works directly use the motion vectors and residuals ...
Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
In order to bridge the gap between Internet vision problems and the aim of the vision for embodied perception, we require a large navigation task - embodied question, which  responds in photo realistic environments  in photo realistic environments (MatterPort 3d). We ...
Erik Wijmans, Samyak Data, Oleksandr Makymets, Abhishek this, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
While significant progress has been made in the image documents task, video description is still in the infant due to the complex type of video data. Creating multi-set descriptions for long videos is even more demanding. Under the ...
Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach
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