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3Reading Digits in Natural Images with Unsupervised Feature Learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Ng. (2011)
2 years ago by @andolab
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deep-learning
datasets
deep-learningdatasets
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2PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning
M. Shan, Y. Ma, S. Ruan, Z. Cao, S. Tong, Q. Liu, Y. Su, and S. Wang. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, page 2178-2187. ACM, (October 2023)
2 years ago by @brusilovsky
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assessment
deep-learning
cikm2023
personalized-learning
assessmentdeep-learningcikm2023personalized-learning
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2Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments
C. Wang, and S. Sahebi. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, page 2616-2625. ACM, (October 2023)
2 years ago by @brusilovsky
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deep-learning
cikm2023
knowledge-tracing
deep-learningcikm2023knowledge-tracing
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1Reinforced Self-Training (ReST) for Language Modeling
C. Gulcehre, T. Paine, S. Srinivasan, K. Konyushkova, L. Weerts, A. Sharma, A. Siddhant, A. Ahern, M. Wang, C. Gu and 4 other author(s). (2023)cite arxiv:2308.08998Comment: 23 pages, 16 figures.
2 years ago by @tomvoelker
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nlp
deep-learning
nlpdeep-learning
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1A Survey on Bayesian Deep Learning
H. Wang, and D. Yeung. ACM Computing Surveys, 53 (5): 1--37 (October 2020)
4 years ago by @analyst
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bayesian
deep-learning
survey
acm
2020
bayesiandeep-learningsurveyacm2020
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1A Comprehensive Survey of Neural Architecture Search
P. Ren, Y. Xiao, X. Chang, P. yao Huang, Z. Li, X. Chen, and X. Wang. ACM Computing Surveys, 54 (4): 1--34 (July 2021)
4 years ago by @analyst
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deep-learning
2021
acm
search
architecture
deep-learning2021acmsearcharchitecture
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3DIG: A Turnkey Library for Diving into Graph Deep Learning Research
M. Liu, Y. Luo, L. Wang, Y. Xie, H. Yuan, S. Gui, Z. Xu, H. Yu, J. Zhang, Y. Liu and 6 other author(s). (2021)cite arxiv:2103.12608.
5 years ago by @analyst
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deep-learning
library
2021
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deep-learninglibrary2021graph
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2Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search
L. Wang, Y. Zhao, Y. Jinnai, Y. Tian, and R. Fonseca. (2018)cite arxiv:1805.07440Comment: To appear in the Thirty-Fourth AAAI conference on Artificial Intelligence (AAAI-2020).
5 years ago by @analyst
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deep-learning
2018
mcts
search
architecture
deep-learning2018mctssearcharchitecture
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2A Survey on Bayesian Deep Learning
H. Wang, and D. Yeung. (2016)cite arxiv:1604.01662Comment: To appear in ACM Computing Surveys (CSUR) 2020.
5 years ago by @analyst
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bayesian
deep-learning
2016
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bayesiandeep-learning2016survey
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1Equivariant Maps for Hierarchical Structures
R. Wang, M. Albooyeh, and S. Ravanbakhsh. (2020)cite arxiv:2006.03627.
5 years ago by @kirk86
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equivariance
deep-learning
equivariancedeep-learning
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1Deep Learning for Generic Object Detection: A Survey
L. Liu, W. Ouyang, X. Wang, P. Fieguth, J. Chen, X. Liu, and M. Pietikäinen. International Journal of Computer Vision, 128 (2): 261--318 (Feb 1, 2020)
5 years ago by @analyst
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computer-vision
deep-learning
detection
paper
survey
2020
computer-visiondeep-learningdetectionpapersurvey2020
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1Anomaly Detection with Tensor Networks
J. Wang, C. Roberts, G. Vidal, and S. Leichenauer. (2020)cite arxiv:2006.02516.
5 years ago by @kirk86
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deep-learning
anomaly-detection
deep-learninganomaly-detection
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2DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction
X. Lin, K. Zhao, T. Xiao, Z. Quan, Z. Wang, and P. Yu. (2020)cite arxiv:2003.13902Comment: Accepted by the 24th European Conference on Artificial Intelligence (ECAI 2020).
6 years ago by @kirk86
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deep-learning
graphs
deep-learninggraphs
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3Piecewise linear activations substantially shape the loss surfaces of neural networks
F. He, B. Wang, and D. Tao. International Conference on Learning Representations, (2020)
6 years ago by @kirk86
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deep-learning
readings
iclr2020
objectives
theory
deep-learningreadingsiclr2020objectivestheory
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2Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem
V. Chatziafratis, S. Nagarajan, I. Panageas, and X. Wang. (2019)cite arxiv:1912.04378.
6 years ago by @kirk86
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approximate
deep-learning
generalization
approximatedeep-learninggeneralization
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3How do Data Science Workers Collaborate? Roles, Workflows, and Tools
A. Zhang, M. Muller, and D. Wang. (2020)cite arxiv:2001.06684Comment: CSCW'2020.
6 years ago by @analyst
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deep-learning
software
2020
job
programming
deep-learningsoftware2020jobprogramming
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3Reading Digits in Natural Images with Unsupervised Feature Learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Ng. (2011)
6 years ago by @kirk86
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deep-learning
datasets
deep-learningdatasets
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1High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
H. Wang, X. Wu, Z. Huang, and E. Xing. (2019)cite arxiv:1905.13545.
6 years ago by @analyst
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2019
deep-learning
cnn
2019deep-learningcnn
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2P-CapsNets: a General Form of Convolutional Neural Networks
Z. Chen, X. Li, C. Wang, and D. Crandall. (2019)cite arxiv:1912.08367.
6 years ago by @analyst
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2019
deep-learning
capsule
cnn
2019deep-learningcapsulecnn
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3Towards Bayesian Deep Learning: A Survey
H. Wang, and D. Yeung. (2016)cite arxiv:1604.01662.
6 years ago by @kirk86
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bayesian
deep-learning
uncertainty
bayesiandeep-learninguncertainty
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3Reading Digits in Natural Images with Unsupervised Feature Learning

2PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning

2Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments

1Reinforced Self-Training (ReST) for Language Modeling

1A Survey on Bayesian Deep Learning

1A Comprehensive Survey of Neural Architecture Search

3DIG: A Turnkey Library for Diving into Graph Deep Learning Research

2Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search

2A Survey on Bayesian Deep Learning

1Equivariant Maps for Hierarchical Structures

1Deep Learning for Generic Object Detection: A Survey

1Anomaly Detection with Tensor Networks

2DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction

3Piecewise linear activations substantially shape the loss surfaces of neural networks

2Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem

3How do Data Science Workers Collaborate? Roles, Workflows, and Tools

3Reading Digits in Natural Images with Unsupervised Feature Learning

1High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

2P-CapsNets: a General Form of Convolutional Neural Networks

3Towards Bayesian Deep Learning: A Survey

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