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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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05/31/2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Heterogeneous Graph Neural Networks (HGNNs) have gained significant popu...
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01/09/2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Task-agnostic knowledge distillation attempts to address the problem of ...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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08/15/2022
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Estimated time of arrival (ETA) prediction, also known as travel time es...
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03/17/2022
POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps
Pre-trained models (PTMs) have become a fundamental backbone for downstr...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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09/08/2020
Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
Graph convolutional network (GCN) and label propagation algorithms (LPA)...
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04/19/2019
