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2Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
X. Zhu, Y. Chen, H. Tian, C. Tao, W. Su, C. Yang, G. Huang, B. Li, L. Lu, X. Wang and 3 other author(s). (2023)
6 months ago by @nebuchadnezzar
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ai
ai
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3TinyBERT: Distilling BERT for Natural Language Understanding
X. Jiao, Y. Yin, L. Shang, X. Jiang, X. Chen, L. Li, F. Wang, and Q. Liu. (Sep 23, 2019)
10 months ago by @tomvoelker
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NLP
posted_with_chatgpt
AI
TinyBERT
BERT
LanguageModel
NLPposted_with_chatgptAITinyBERTBERTLanguageModel
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2Artificial Intelligence in Education: A Review
L. Chen, P. Chen, and Z. Lin. IEEE Access, (2020)
2 years ago by @yish
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ai
review
education
airevieweducation
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1Automated clinical coding: what, why, and where we are?
H. Dong, M. Falis, W. Whiteley, B. Alex, J. Matterson, S. Ji, J. Chen, and H. Wu. npj Digital Medicine, (October 2022)
2 years ago by @hangdong
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multi-label-classification
myown
medical-AI
medical-informatics
ai
deep_learning
zero-shot
knowledge-based-methods
clinical-coding
zsl
ai-applications
information-systems
medical-coding
ontologies
multi-label-classificationmyownmedical-AImedical-informaticsaideep_learningzero-shotknowledge-based-methodsclinical-codingzslai-applicationsinformation-systemsmedical-codingontologies
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2Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
D. Chen, Y. Bai, W. Zhao, S. Ament, J. Gregoire, and C. Gomes. Proceedings of the 37th International Conference on Machine Learning, volume 119 of Proceedings of Machine Learning Research, page 1500--1509. PMLR, (13--18 Jul 2020)
2 years ago by @soerenmoeller
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seminar
ai
2022
kde
neuro-symbolic
seminarai2022kdeneuro-symbolic
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2Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning.
Q. Li, S. Huang, Y. Hong, Y. Chen, Y. Wu, and S. Zhu. CoRR, (2020)
2 years ago by @soerenmoeller
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seminar
ai
2022
kde
neuro-symbolic
seminarai2022kdeneuro-symbolic
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4Reasoning With Neural Tensor Networks for Knowledge Base Completion.
R. Socher, D. Chen, C. Manning, and A. Ng. NIPS, page 926-934. (2013)
2 years ago by @soerenmoeller
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seminar
ai
2022
kde
neuro-symbolic
seminarai2022kdeneuro-symbolic
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1Automated Clinical Coding: What, Why, and Where We Are?
H. Dong, M. Falis, W. Whiteley, B. Alex, S. Ji, J. Chen, and H. Wu. (2022)cite arxiv:2203.11092.
3 years ago by @hangdong
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NLP
myown
knowledge_based
automated_clinical_coding
AI
NHS
medical_informatics
clinical_coding
healthcare
NLPmyownknowledge_basedautomated_clinical_codingAINHSmedical_informaticsclinical_codinghealthcare
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1AI in health and medicine
P. Rajpurkar, E. Chen, O. Banerjee, and E. Topol. Nature Medicine, (2022)
3 years ago by @becker
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citedby:scholar:timestamp:2022-2-9
artificial
citedby:scholar:count:1
nature
machine
ai
review
learning
medicine
survey
health
intelligence
citedby:scholar:timestamp:2022-2-9artificialcitedby:scholar:count:1naturemachineaireviewlearningmedicinesurveyhealthintelligence
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1Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
V. Lai, C. Chen, Q. Liao, A. Smith-Renner, and C. Tan. (2021)cite arxiv:2112.11471Comment: 36 pages, 2 figures, see https://haidecisionmaking.github.io for website.
3 years ago by @markotesic
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ai
ai
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1Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
C. Rudin, C. Chen, Z. Chen, H. Huang, L. Semenova, and C. Zhong. (2021)cite arxiv:2103.11251.
4 years ago by @louissf
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ai
interpretability
aiinterpretability
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6XGBoost: A Scalable Tree Boosting System
T. Chen, and C. Guestrin. (2016)cite arxiv:1603.02754Comment: KDD'16 changed all figures to type1.
4 years ago by @louissf
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ai
tree
boost
xgboost
aitreeboostxgboost
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1Artificial intelligence for fault diagnosis of rotating machinery: A review
R. Liu, B. Yang, E. Zio, and X. Chen. Mechanical Systems and Signal Processing, (2018)
4 years ago by @ninawue
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overview
rotating_machinery
ai
thema:machine_monitoring
overviewrotating_machineryaithema:machine_monitoring
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10Language Models are Few-Shot Learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell and 21 other author(s). (2020)cite arxiv:2005.14165Comment: 40+32 pages.
4 years ago by @louissf
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nlp
ai
gpt
nlpaigpt
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2Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
H. Liang, B. Tsui, H. Ni, C. Valentim, S. Baxter, G. Liu, W. Cai, D. Kermany, X. Sun, J. Chen and 61 other author(s). Nature Medicine, 25 (3): 433--438 (2019)
6 years ago by @nosebrain
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accurate
deep
evaluation
ai
learning
diagnoses
accuratedeepevaluationailearningdiagnoses
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3CiteSeerX: AI in a Digital Library Search Engine
J. Wu, K. Williams, H. Chen, M. Khabsa, C. Caragea, A. Ororbia, D. Jordan, and C. Giles. Proceedings of the 26th IAAI Conference, page 2930--2937. AAAI Press, (2014)
9 years ago by @jaeschke
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library
citeseerx
ai
dl
citeseer
digital
libraryciteseerxaidlciteseerdigital
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