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pronunciation - Why is Sean pronounced Shawn? - English Language ...
Dec 27, 2014 · Sean (written "Seán" or "Séan" in Irish) is a Hibernization of the English name "John"; that is, it's a transliteration of "John" into a form which can be pronounced in Irish and wr...
arxiv.org arXiv
arxiv.org › abs › 1807.04903v1
From Lab Testing to Science: Applying SAPHIRA HgCdTe L-APD Detectors to Adaptive Optics
Due to their high frame rates, high sensitivity, low noise, and low dark current, SAPHIRA detectors provide new capabilities for astronomical observations. The SAPHIRA detector is a 320x256@24 $μ$m p...
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Why do we pronounce Dean as /diːn/ but Sean as /ʃɒn/?
18 Sean is an Irish name, and so follows a completely different set of rules. Siobhan is another Irish name with a very non-English pronunciation.
arxiv.org arXiv
arxiv.org › abs › 1911.12861v2
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
We propose semantic region-adaptive normalization (SEAN), a simple but effective building block for Generative Adversarial Networks conditioned on segmentation masks that describe the semantic regions...
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You can contact John, Jane or me (myself) for more information
Me. Myself is reflexive: it denotes that the person (me) is doing something to that person (myself) and no other. It's not correct to use a reflexive pronoun unless the recipient of the action is the ...
arxiv.org arXiv
arxiv.org › abs › 1102.0606v1
On a question of Sean Keel
We answer a question of Sean Keel in the affirmative in the case of ruled surfaces...
arxiv.org arXiv
arxiv.org › abs › 1908.04319v2
Neural Text Generation with Unlikelihood Training
Neural text generation is a key tool in natural language applications, but it is well known there are major problems at its core. In particular, standard likelihood training and decoding leads to dull...
arxiv.org arXiv
arxiv.org › abs › 1412.0623v2
Material Recognition in the Wild with the Materials in Context Database
Recognizing materials in real-world images is a challenging task. Real-world materials have rich surface texture, geometry, lighting conditions, and clutter, which combine to make the problem particul...
arxiv.org arXiv
arxiv.org › abs › 2410.11133v2
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
A key challenge in automated formal reasoning is the intractable search space, which grows exponentially with the depth of the proof. This branching is caused by the large number of candidate proof ta...
arxiv.org arXiv
arxiv.org › abs › 2009.04300v1
SEAN: Social Environment for Autonomous Navigation
Social navigation research is performed on a variety of robotic platforms, scenarios, and environments. Making comparisons between navigation algorithms is challenging because of the effort involved i...
arxiv.org arXiv
arxiv.org › abs › 2403.16846v2
CoDy: Counterfactual Explainers for Dynamic Graphs
Temporal Graph Neural Networks (TGNNs) are widely used to model dynamic systems where relationships and features evolve over time. Although TGNNs demonstrate strong predictive capabilities in these do...
arxiv.org arXiv
arxiv.org › abs › 2402.15923v1
Predicting Outcomes in Video Games with Long Short Term Memory Networks
Forecasting winners in E-sports with real-time analytics has the potential to further engage audiences watching major tournament events. However, making such real-time predictions is challenging due t...
arxiv.org arXiv
arxiv.org › abs › 2311.18775v1
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation
We present CoDi-2, a versatile and interactive Multimodal Large Language Model (MLLM) that can follow complex multimodal interleaved instructions, conduct in-context learning (ICL), reason, chat, edit...