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4On Layer Normalization in the Transformer Architecture
R. Xiong, Y. Yang, D. He, K. Zheng, S. Zheng, C. Xing, H. Zhang, Y. Lan, L. Wang, and T. Liu. (2020)cite arxiv:2002.04745.
2 years ago by @arthi706
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deeplearning
transformer
deeplearningtransformer
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3WebFormer: The Web-page Transformer for Structure Information Extraction
Q. Wang, Y. Fang, A. Ravula, F. Feng, X. Quan, and D. Liu. Proceedings of the ACM Web Conference 2022, ACM, (April 2022)
3 years ago by @jaeschke
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web
deeplearning
transformer
page
html
ie
webformer
information
extraction
plk
webdeeplearningtransformerpagehtmliewebformerinformationextractionplk
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2Language modeling via stochastic processes
R. Wang, E. Durmus, N. Goodman, and T. Hashimoto. (2022)cite arxiv:2203.11370Comment: ICLR Oral 2022. Code: https://github.com/rosewang2008/language_modeling_via_stochastic_processes.
4 years ago by @albinzehe
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nlp
deeplearning
languagemodel
nlpdeeplearninglanguagemodel
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3Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
T. Luo, K. Mo, Z. Huang, J. Xu, S. Hu, L. Wang, and H. Su. (2020)cite arxiv:2002.06478Comment: ICLR2020.
4 years ago by @shuncheng.wu
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deeplearning
part_segmentation
segmentation
point_cloud
deeplearningpart_segmentationsegmentationpoint_cloud
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2Open-World Entity Segmentation
L. Qi, J. Kuen, Y. Wang, J. Gu, H. Zhao, Z. Lin, P. Torr, and J. Jia. (2021)cite arxiv:2107.14228Comment: Project page: http://luqi.info/Entity_Web.
4 years ago by @shuncheng.wu
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deeplearning
open_world
segmentation
deeplearningopen_worldsegmentation
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3Semantic Graph Based Place Recognition for 3D Point Clouds
X. Kong, X. Yang, G. Zhai, X. Zhao, X. Zeng, M. Wang, Y. Liu, W. Li, and F. Wen. (2020)cite arxiv:2008.11459Comment: 8 pages. Accpeted by IROS-2020.
4 years ago by @shuncheng.wu
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relocalization
semantic_graph
deeplearning
point_cloud
graph
graph_matching
graph_nerural_network
relocalizationsemantic_graphdeeplearningpoint_cloudgraphgraph_matchinggraph_nerural_network
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4DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction.
Q. Xu, W. Wang, D. Ceylan, R. Mech, and U. Neumann. (2019)cite arxiv:1905.10711.
4 years ago by @shuncheng.wu
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implicit
deeplearning
conditional
nips2019
3d_reconstruction
implicitdeeplearningconditionalnips20193d_reconstruction
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3Graph Learning based Recommender Systems: A Review
S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, and P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.
4 years ago by @jaeschke
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deeplearning
neural
gnn
machine
learning
survey
recommender
network
graph
ml
deeplearningneuralgnnmachinelearningsurveyrecommendernetworkgraphml
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2Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
J. Yang, X. Yi, D. Cheng, L. Hong, Y. Li, S. Wang, T. Xu, and E. Chi. Companion Proceedings of the Web Conference 2020, ACM, (April 2020)
4 years ago by @jaeschke
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dnn
negative
deeplearning
sampling
machine
learning
recommender
sample
ml
dnnnegativedeeplearningsamplingmachinelearningrecommendersampleml
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3Generalizing from a Few Examples: A Survey on Few-shot Learning.
Y. Wang, Q. Yao, J. Kwok, and L. Ni. ACM Comput. Surv., 53 (3): 63:1-63:34 (2020)
5 years ago by @frankyanpan
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few-shotting
deeplearning
few-shottingdeeplearning
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2Linformer: Self-Attention with Linear Complexity
S. Wang, B. Li, M. Khabsa, H. Fang, and H. Ma. (2020)cite arxiv:2006.04768.
5 years ago by @albinzehe
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nlp
dfg-antrag-steckbriefe
deeplearning
linformer
transformer
attention
neuralnets
nlpdfg-antrag-steckbriefedeeplearninglinformertransformerattentionneuralnets
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2Graph Neural Networks: A Review of Methods and Applications
J. Zhou, G. Cui, Z. Zhang, C. Yang, Z. Liu, L. Wang, C. Li, and M. Sun. (2018)cite arxiv:1812.08434.
5 years ago by @frankyanpan
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Deeplearning
GNN
DeeplearningGNN
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5Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
X. Shi, Z. Chen, H. Wang, D. Yeung, W. Wong, and W. Woo. (2015)cite arxiv:1506.04214.
5 years ago by @annakrause
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precipitation
mos
deeplearning
climate
nowcasting
lstm
todo:read
precipitationmosdeeplearningclimatenowcastinglstmtodo:read
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2Deep Parametric Continuous Convolutional Neural Networks.
S. Wang, S. Suo, W. Ma, A. Pokrovsky, and R. Urtasun. CVPR, page 2589-2597. IEEE Computer Society, (2018)
5 years ago by @annakrause
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hiwi
ContinuousConvolutions
continuous
DeepLearning
hiwiContinuousConvolutionscontinuousDeepLearning
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2Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
P. Wang, Y. Qian, F. Soong, L. He, and H. Zhao. CoRR, (2015)
7 years ago by @tobias.koopmann
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mlnlp
nlp
deeplearning
ner
mlnlpnlpdeeplearningner
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1DeepID3: Face Recognition with Very Deep Neural Networks
Y. Sun, D. Liang, X. Wang, and X. Tang. (2015)cite arxiv:1502.00873.
9 years ago by @jaeschke
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deeplearning
deep
neural
race
machine
recognition
learning
network
deeplearningdeepneuralracemachinerecognitionlearningnetwork
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2Deep Learning Face Representation by Joint Identification-Verification
Y. Sun, Y. Chen, X. Wang, and X. Tang. Advances in Neural Information Processing Systems 27, Curran Associates, Inc., (2014)
9 years ago by @albinzehe
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ma-zehe
cnn
deeplearning
neuralnet
ma-zehecnndeeplearningneuralnet
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4Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Y. Wu, M. Schuster, Z. Chen, Q. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey and 21 other author(s). (2016)cite arxiv:1609.08144.
9 years ago by @albinzehe
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ma-zehe
machinetranslation
deeplearning
neuralnet
ma-zehemachinetranslationdeeplearningneuralnet
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1Learning A Deep $\ell_ınfty$ Encoder for Hashing
Z. Wang, Y. Yang, S. Chang, Q. Ling, and T. Huang. (2016)cite arxiv:1604.01475v1.pdfComment: To be presented at IJCAI'16.
10 years ago by @pixor
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optimization
deeplearning
acreuser
tutorial
optimizationdeeplearningacreusertutorial
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3Towards Bayesian Deep Learning: A Survey
H. Wang, and D. Yeung. (2016)cite arxiv:1604.01662v1.pdf.
10 years ago by @pixor
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bayesian
deeplearning
acreuser
tutorial
bayesiandeeplearningacreusertutorial
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4On Layer Normalization in the Transformer Architecture

3WebFormer: The Web-page Transformer for Structure Information Extraction

2Language modeling via stochastic processes

3Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories

2Open-World Entity Segmentation

3Semantic Graph Based Place Recognition for 3D Point Clouds

4DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction.

3Graph Learning based Recommender Systems: A Review

2Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations

3Generalizing from a Few Examples: A Survey on Few-shot Learning.

2Linformer: Self-Attention with Linear Complexity

2Graph Neural Networks: A Review of Methods and Applications

5Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

2Deep Parametric Continuous Convolutional Neural Networks.

2Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

1DeepID3: Face Recognition with Very Deep Neural Networks

2Deep Learning Face Representation by Joint Identification-Verification

4Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

1Learning A Deep $\ell_ınfty$ Encoder for Hashing

3Towards Bayesian Deep Learning: A Survey

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