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06/14/2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Traffic forecasting plays a critical role in smart city initiatives and ...
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05/30/2023
Graph Neural Processes for Spatio-Temporal Extrapolation
We study the task of spatio-temporal extrapolation that generates data a...
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09/16/2021
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
Sensors are the key to sensing the environment and imparting benefits to...
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03/03/2021
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
With the widespread success of deep learning in biomedical image segment...
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10/17/2020
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA
Copying mechanism has been commonly used in neural paraphrasing networks...
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11/06/2019
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network
The primary goal of skeletal motion prediction is to generate future mot...
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03/03/2018
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis
Unsupervised learned representations of polysemous words generate a larg...
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07/05/2017
Context Aware Document Embedding
Recently, doc2vec has achieved excellent results in different tasks. In ...
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05/25/2017
Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment
Recognizing textual entailment is a fundamental task in a variety of tex...
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01/06/2017