2016. A joint many-task model: Growing a neural network for multiple NLP tasks. In NIPS 2016 Continual Learning and Deep Networks Workshop.Hashimoto, K.; Tsuruoka, Y.; Socher, R.; et al. 2017. A joint many-task model: Growing a neural network for multi- ple nlp tasks. In ...
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image CVPR2017 https://arxiv.org/abs/1703.07570 自动驾驶很快就可以达到实用的水平了。 本文的功能是:给一张灰度图像,使用 多任务CNN网络 Deep MANTA 可以给出6个信息: region proposal, detection, 2D...
Aurora is a machine learning model that produces forecasts for any collection of Earth system variables at any desired resolution. The model consists of three parts: (1) an encoder that converts heterogeneous inputs into a universal latent three-dimensional (3D) representation; (2) a processor t...
We propose to view text classification as a label-word joint embedding problem: each label is embedded in the same space with the word vectors. We introduce an attention framework that measures the compatibility of embeddings between text sequences and labels. The attention is learned on a ...
2024 arXiv Data Driven Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection - 2024 arXiv Multi-Modal Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach - 2024 arXiv Space Domain Open-Set Deepfake Detection: A Pa...
In pursuit of this, we advocate the training of a joint molecule diffusion model designed to capture the fine-grained distributions of 2D+3D molecule structures. The crux of an ideal molecule optimization lies in achieving alignment within the representation spaces of both the text side and the ...
Brown, “Towards a unified foundation model: Jointly pretraining transformers on unpaired images and text,” arXiv, 2021. [277] M. Ni, H. Huang, L. Su, E. Cui, T. Bharti, L. Wang, D. Zhang, and N. Duan, “M3p: Learning universal representations via multitask multilingual ...
Joint architecture and optimization exploration. 目前架构和优化策略是相互独立研究的,但两者设计空间的交互作用可以进一步研究,以在联合架构-优化器空间层面构建 MTL 系统。 Influence data. 任务和训练样本在优化中起着重要作用,例如不确定性加权在具有较高同方差不确定性的任务中效果良好,分析数据的哪些属性对 MTL ...
Create or update your marketing pages/website (such as integration page, partner page, pricing page, and so on) to include the availability of the joint integration. Example: Pingboard integration Page, Smartsheet integration page, Monday.com pricing page Create a help center article or techn...
(Zhao et al., 2021) proposed a multi-ethnic population development analysis method that used multiple data sources to construct an accurate SDI system and a joint multi-factor weighting model to assign specific SDI values to indicators; however, the indicators in this SDI did not interfere with...