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Found 12 papers, 3 papers with code
DiDi’s Machine Translation System for WMT2020
This paper describes the DiDi AI Labs’ submission to the WMT2020 news translation shared task.
Enhanced Sentence Alignment Network for Efficient Short Text Matching
Cross-sentence attention has been widely applied in text matching, in which model learns the aligned information between two intermediate sequence representations to capture their semantic relationship.
Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications
Moreover, to capture the relevant semantic features in the data reconstruction, imitation learning is adopted to measure the data regeneration quality in terms of goal-oriented semantics.
LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency
The recent rise of semantic-style communications includes the development of goal-oriented communications (GOCOMs) remarkably efficient multimedia information transmissions.
Diff-GO$^\text{n}$: Enhancing Diffusion Models for Goal-Oriented Communications
The rapid expansion of edge devices and Internet-of-Things (IoT) continues to heighten the demand for data transport under limited spectrum resources.
Hierarchical Space-Time Attention for Micro-Expression Recognition
Specifically, we first process ME video frames and special frames or data parallelly by our cascaded Unimodal Space-Time Attention (USTA) to establish connections between subtle facial movements and specific facial areas.
Micro Expression Recognition
Micro-Expression Recognition
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Deep Structure and Attention Aware Subspace Clustering
However, previous deep clustering methods, especially image clustering, focus on the features of the data itself and ignore the relationship between the data, which is crucial for clustering.
Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency
This work presents an ultra-efficient communication design by utilizing generative AI-based on diffusion models as a specific example of the general goal-oriented communication framework.
KESDT: knowledge enhanced shallow and deep Transformer for detecting adverse drug reactions
Secondly, social media datasets suffer from the challenges of low annotated data.
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration
Cortical surface registration plays a crucial role in aligning cortical functional and anatomical features across individuals.
DiDi's Machine Translation System for WMT2020
This paper describes DiDi AI Labs' submission to the WMT2020 news translation shared task.
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
We illustrate the algorithm's effectiveness for the classification task, and how it can be used to perform data mining tasks.
