Asia
Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset Wang Lin
Neural Information Processing Systems
We employ a total of 26 annotators, consisting of 14 females and 12 males.
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- Asia > China (0.04)
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- Law (1.00)
- Information Technology > Security & Privacy (0.94)
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- Education (0.68)
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- North America > United States > Tennessee > Shelby County > Memphis (0.04)
- Europe > Italy > Tuscany > Florence (0.04)
- Asia > China > Zhejiang Province (0.04)
- Africa > South Sudan > Greater Upper Nile > Greater Pibor Administrative Area > Boma (0.04)
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- Education (0.93)
- Health & Medicine > Therapeutic Area > Psychiatry/Psychology (0.68)
- Information Technology (0.67)
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- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > Canada > British Columbia > Vancouver (0.04)
- Asia > South Korea > Seoul > Seoul (0.04)
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- Research Report > New Finding (1.00)
- Research Report > Experimental Study (0.93)
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Data Acquisition via Experimental Design for Data Markets Charles Lu
Neural Information Processing Systems
The acquisition of training data is crucial for machine learning applications.
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- Europe > France (0.04)
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.67)
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- Law (1.00)
- Information Technology > Security & Privacy (0.92)
- Health & Medicine > Diagnostic Medicine > Imaging (0.46)
- Government > Regional Government > North America Government > United States Government (0.46)
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- Information Technology > Data Science (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.68)
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- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > United States > California (0.04)
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- Energy (0.45)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.96)
- (2 more...)
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- North America > United States > California > Los Angeles County > Los Angeles (0.04)
- Asia > East Asia (0.04)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
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- Media (1.00)
- Government (0.93)
- Information Technology > Security & Privacy (0.47)
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.93)
Technology:
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition Jinghui Lu1, Ziwei Y ang 1, Y anjie Wang
Neural Information Processing Systems
The main cause of high latency in LLMs is the sequential decoding process, which autoregressively generates all labels and mentions for NER, significantly increase the sequence length.
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- Europe > Italy (0.04)
- North America > Canada > Ontario > Toronto (0.04)
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- Research Report > Experimental Study (0.93)
- Overview (0.68)
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- Information Technology (0.46)
- Health & Medicine (0.46)
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- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- Asia > Middle East > Israel (0.04)
- North America > United States > West Virginia (0.04)
- (4 more...)
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- Health & Medicine > Therapeutic Area (0.45)
- Health & Medicine > Public Health (0.45)
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- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)