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08/14/2023
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
The Research Development (R D) phase of drug development is a leng...
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07/20/2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
Goal-Conditioned Reinforcement Learning (GCRL) can enable agents to spon...
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02/23/2023
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends
The recent progress in unmanned aerial vehicles (UAV) technology has sig...
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09/01/2022
Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations
Conversations are always related to certain topics. However, it is chall...
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06/15/2022
Zero-shot object goal visual navigation
Object goal visual navigation is a challenging task that aims to guide a...
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03/10/2022
Knowledge-enriched Attention Network with Group-wise Semantic for Visual Storytelling
As a technically challenging topic, visual storytelling aims at generati...
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02/28/2022
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement Learning
Goal-conditioned reinforcement learning is a crucial yet challenging alg...
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11/15/2021
Observation Contribution Theory for Pose Estimation Accuracy
The improvement of pose estimation accuracy is currently the fundamental...
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03/29/2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
Recent studies have revealed a security threat to natural language proce...
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01/01/2021
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge
Commonsense knowledge is crucial for artificial intelligence systems to ...
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07/08/2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
Complex question answering over knowledge base (Complex KBQA) is challen...
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07/29/2018
Convolutional Gated Recurrent Units for Medical Relation Classification
Convolutional neural network (CNN) and recurrent neural network (RNN) mo...
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05/17/2018
Classifying medical relations in clinical text via convolutional neural networks
Deep learning research on relation classification has achieved solid per...
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09/20/2017
De-identification of medical records using conditional random fields and long short-term memory networks
The CEGS N-GRID 2016 Shared Task 1 in Clinical Natural Language Processi...
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11/28/2016
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records
Cardiovascular disease (CVD) has become the leading cause of death in Ch...
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11/07/2016