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Transformers

Known as: Transformers: Hunt for the Decepticons, Transformers: Rise of the Dark Spark - The Album, Transformers (disambiguation) 
Transformers (Japanese: トランスフォーマー Hepburn: Toransufōmā) is a media franchise produced by American toy company Hasbro and Japanese toy company Takara… Expand
Wikipedia

Related topics

Related topics

18 relations
Artificial consciousnessArtificial intelligence in fictionAsus Eee Pad Transformer PrimeBlocksworld
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2020
Highly Cited
2020
End-to-End Object Detection with Transformers
We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection… Expand
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Highly Cited
2020
Highly Cited
2020
Transformers: State-of-the-Art Natural Language Processing
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… Expand
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Highly Cited
2019
Highly Cited
2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from… Expand
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Highly Cited
2019
Highly Cited
2019
HuggingFace's Transformers: State-of-the-art Natural Language Processing
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… Expand
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Highly Cited
2019
Highly Cited
2019
Universal Transformers
Recurrent neural networks (RNNs) sequentially process data by updating their state with each new data point, and have long been… Expand
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Highly Cited
2019
Highly Cited
2019
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Vision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the… Expand
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Highly Cited
2015
Highly Cited
2015
Spatial Transformer Networks
Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to… Expand
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Review
2000
Review
2000
Monolithic transformers for silicon RF IC design
  • J. Long
  • IEEE Journal of Solid-State Circuits
  • 2000
    • Corpus ID: 14476646
A comprehensive review of the electrical performance of passive transformers fabricated in silicon IC technology is presented… Expand
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Highly Cited
1996
Highly Cited
1996
Probabilistic predicate transformers
Probabilistic predicates generalize standard predicates over a state space; with probabilistic predicate transformers one thus… Expand
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Highly Cited
1995
Highly Cited
1995
Monad transformers and modular interpreters
We show how a set of building blocks can be used to construct programming language interpreters, and present implementations of… Expand
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