Jilin Chen
7 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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They Said What?
2015
In online communities, satisfied members are essential to community success, since they are more likely to contribute and consume content, engage with other members, and feel committed to the community. However, it is difficult for …
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Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
2018
Neural-based multi-task learning has been successfully used in many real-world large-scale applications such as recommendation systems. For example, in movie recommendations, beyond providing users movies which they tend to purchase and watch, the system might …
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The Research on the User Behavior of Adjustment Power Flow based on Deep Learning Algorithm
2018
The arrangement of operation mode is very important for the safe and stable operation of the power grid. The calculation of the operation mode of the power system starts from the load forecasting, realizes the …
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Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
2023 · arXiv (Cornell University)
Counterfactual Data Augmentation (CDA) is a commonly used technique for improving robustness in natural language classifiers. However, one fundamental challenge is how to discover meaningful counterfactuals and efficiently label them, with minimal human labeling cost. …
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Holistic Safety and Responsibility Evaluations of Advanced AI Models
2024 · arXiv (Cornell University)
Safety and responsibility evaluations of advanced AI models are a critical but developing field of research and practice. In the development of Google DeepMind's advanced AI models, we innovated on and applied a broad set …
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Recommending what video to watch next
2019
In this paper, we introduce a large scale multi-objective ranking system for recommending what video to watch next on an industrial video sharing platform. The system faces many real-world challenges, including the presence of multiple …
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Gemini: A Family of Highly Capable Multimodal Models
2023 · arXiv (Cornell University)
This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging …