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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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11/16/2022
Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery
Self-supervised learning of egomotion and depth has recently attracted g...
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10/11/2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training
Recently, knowledge-enhanced pre-trained language models (KEPLMs) improv...
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02/27/2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
Distant supervision assumes that any sentence containing the same entity...
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12/02/2021
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) are pre-trained ...
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08/20/2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
Recently, the performance of Pre-trained Language Models (PLMs) has been...
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07/13/2021
Precise Visual-Inertial Localization for UAV with the Aid of A 2D Georeferenced Map
Precise geolocalization is crucial for unmanned aerial vehicles (UAVs). ...
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05/17/2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
Dynamic graph modeling has recently attracted much attention due to its ...
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08/24/2020
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
Machine Reading Comprehension (MRC) aims to extract answers to questions...
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03/29/2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Pre-trained neural language models bring significant improvement for var...
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02/25/2020
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Lexical relations describe how concepts are semantically related, in the...
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02/11/2020
Hyper-Meta Reinforcement Learning with Sparse Reward
Despite their success, existing meta reinforcement learning methods stil...
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10/04/2019
Learning Robust Representations with Graph Denoising Policy Network
Graph representation learning, aiming to learn low-dimensional represent...
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07/04/2018
