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3Editing Large Language Models: Problems, Methods, and Opportunities
Y. Yao, P. Wang, B. Tian, S. Cheng, Z. Li, S. Deng, H. Chen, and N. Zhang. (2023)cite arxiv:2305.13172Comment: EMNLP 2023. Updated with new experiments.
11 months ago by @jaeschke
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nlp
neural
network
llm
nlpneuralnetworkllm
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3A Comprehensive Survey on Graph Neural Networks
Z. Wu, S. Pan, F. Chen, G. Long, C. Zhang, and P. Yu. IEEE Transactions on Neural Networks and Learning Systems, 32 (1): 4-24 (2021)
a year ago by @manli
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neural
networks
graph
neuralnetworksgraph
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2Bidirectional Generative Adversarial Networks for Neural Machine Translation
Z. Zhang, S. Liu, M. Li, M. Zhou, and E. Chen. Proceedings of the 22nd Conference on Computational Natural Language Learning, CoNLL 2018, Brussels, Belgium, October 31 - November 1, 2018, page 190--199. Association for Computational Linguistics, (2018)
3 years ago by @andolab
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Networks
Bidirectional
Translation
for
Adversarial
Generative
Neural
Machine
NetworksBidirectionalTranslationforAdversarialGenerativeNeuralMachine
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3Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
M. Jin, Y. Zheng, Y. Li, C. Gong, C. Zhou, and S. Pan. arXiv preprint arXiv:2105.05682, (2021)
3 years ago by @becker
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neural
contrastive
gnn
citedby:scholar:count:6
learning
scale
representation
network
graph
citedby:scholar:timestamp:2021-10-17
multi
supervised
siamese
self
neuralcontrastivegnncitedby:scholar:count:6learningscalerepresentationnetworkgraphcitedby:scholar:timestamp:2021-10-17multisupervisedsiameseself
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1A Comprehensive Survey on Graph Neural Networks
Z. Wu, S. Pan, F. Chen, G. Long, C. Zhang, and P. Yu. IEEE Transactions on Neural Networks and Learning Systems, (2020)
3 years ago by @becker
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project:bmbf
neural
review
networks
graph
paper:fastcor
project:bmbfneuralreviewnetworksgraphpaper:fastcor
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3Neural Attentive Session-based Recommendation
J. Li, P. Ren, Z. Chen, Z. Ren, and J. Ma. Proceedings of the 2017 ACM Conference on Information and Knowledge Management, page 1419--1428. New York, NY, USA, ACM Press, (2017)
4 years ago by @nosebrain
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neural
session
recommendation
gru
attention
my:recommendation_framework
narm
neuralsessionrecommendationgruattentionmy:recommendation_frameworknarm
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2An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.
C. Chen, M. Zhang, C. Wang, W. Ma, M. Li, Y. Liu, and S. Ma. SIGIR, page 225-234. ACM, (2019)
5 years ago by @sameliu
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Social
Neural
Recommendation
SocialNeuralRecommendation
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4What do you learn from context? Probing for sentence structure in contextualized word representations
I. Tenney, P. Xia, B. Chen, A. Wang, A. Poliak, R. McCoy, N. Kim, B. Van Durme, S. Bowman, D. Das and 1 other author(s). (2019)cite arxiv:1905.06316Comment: ICLR 2019 camera-ready version, 17 pages including appendices.
5 years ago by @schwemmlein
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nlp
neural
embeddings
context
network
tasks
word
nlpneuralembeddingscontextnetworktasksword
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3Learning to Reconstruct 3D Manhattan Wireframes from a Single Image.
Y. Zhou, H. Qi, Y. Zhai, Q. Sun, Z. Chen, L. Wei, and Y. Ma. CoRR, (2019)
5 years ago by @kluger
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3d
image
cnn
neural
manhattan
wireframe
network
reconstruction
single
3dimagecnnneuralmanhattanwireframenetworkreconstructionsingle
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3PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
C. Liu, J. Yang, D. Ceylan, E. Yumer, and Y. Furukawa. (2018)cite arxiv:1804.06278Comment: CVPR 2018.
5 years ago by @kluger
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3d
image
cnn
neural
plane
reconstruction
single
3dimagecnnneuralplanereconstructionsingle
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2Neural Attentional Rating Regression with Review-level Explanations
C. Chen, M. Zhang, Y. Liu, and S. Ma. WWW, page 1583-1592. ACM, (2018)
5 years ago by @nosebrain
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thema:explainable_recommender
neural
thema
recommendation
reserved
attention
explanation
thema:explainable_recommenderneuralthemarecommendationreservedattentionexplanation
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2Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Q. Wu, H. Zhang, X. Gao, P. He, P. Weng, H. Gao, and G. Chen. The World Wide Web Conference, page 2091--2102. New York, NY, USA, ACM, (2019)
5 years ago by @tobias.koopmann
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Social
Multi-Armed
Systems
Representation
Graph
Analysis
Learning
Contextual
Network
Bandit
Recommender
Influence
Neural
SocialMulti-ArmedSystemsRepresentationGraphAnalysisLearningContextualNetworkBanditRecommenderInfluenceNeural
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1MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
T. Chen, M. Li, Y. Li, M. Lin, N. Wang, M. Wang, T. Xiao, B. Xu, C. Zhang, and Z. Zhang. (2015)cite arxiv:1512.01274Comment: In Neural Information Processing Systems, Workshop on Machine Learning Systems, 2016.
6 years ago by @alrigazzi
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large-scale
deep
neural
dl
networks
large-scaledeepneuraldlnetworks
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1AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training
C. Chen, J. Choi, D. Brand, A. Agrawal, W. Zhang, and K. Gopalakrishnan. (2017)cite arxiv:1712.02679Comment: IBM Research AI, 9 pages, 7 figures, AAAI18 accepted.
6 years ago by @alrigazzi
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large-scale
deep
neural
dl
training
networks
large-scaledeepneuraldltrainingnetworks
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1Combined first&\#45;&\#45;principles calculation and neural&\#45;&\#45;network correction approach as a powerful tool in computational physics and chemistry
L. Hu, X. Wang, L. Wong, and G. Chen. (Jun 10, 2003)
6 years ago by @cmcneile
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neural
neural
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3Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation.
Y. Xu, R. Jia, L. Mou, G. Li, Y. Chen, Y. Lu, and Z. Jin. COLING-16, (2016)
7 years ago by @schwemmlein
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rnn
neural
relation
networks
classification
rnnneuralrelationnetworksclassification
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5Large Scale Distributed Deep Networks
J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, Q. Le, M. Mao, M. Ranzato, A. Senior, P. Tucker and 2 other author(s). Proceedings of the 25th International Conference on Neural Information Processing Systems, page 1223--1231. USA, Curran Associates Inc., (2012)
8 years ago by @thoni
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deep
neural
distributed
networks
deepneuraldistributednetworks
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2Deeply-Supervised Nets.
C. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu. AISTATS, volume 38 of JMLR Proceedings, JMLR.org, (2015)
9 years ago by @prlz77
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deep
supervised
neural
nets
learning
deeply
networks
deepsupervisedneuralnetslearningdeeplynetworks
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1Nervous system reorganization following injury.
R. Chen, L. Cohen, and M. Hallett. Neuroscience, 111 (4): 761--773 (2002)
10 years ago by @ar0berts
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Humans;
Plasticity;
Brain
Cerebral
Inhibition;
Nerves;
Neuronal
Accident;
Spinal
Cortex;
Peripheral
Palsy;
Amputation;
Stem;
Animals;
Thalamus
Aging;
Cerebrovascular
Cord
Injuries;
Neural
Humans;Plasticity;BrainCerebralInhibition;Nerves;NeuronalAccident;SpinalCortex;PeripheralPalsy;Amputation;Stem;Animals;ThalamusAging;CerebrovascularCordInjuries;Neural
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1Regional Load Forecasting in Taiwan Applications of Artificial Neural Networks
C. Hsu, and C. Chen. Energy Conversion and Management, (2003)
13 years ago by @procomun
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Artificial
forecasting,
network,
neural
load
forecasting
Regional
Artificialforecasting,network,neuralloadforecastingRegional
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publications (hide)33
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3Editing Large Language Models: Problems, Methods, and Opportunities

3A Comprehensive Survey on Graph Neural Networks

2Bidirectional Generative Adversarial Networks for Neural Machine Translation

3Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

1A Comprehensive Survey on Graph Neural Networks

3Neural Attentive Session-based Recommendation

2An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.

4What do you learn from context? Probing for sentence structure in contextualized word representations

3Learning to Reconstruct 3D Manhattan Wireframes from a Single Image.

3PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

2Neural Attentional Rating Regression with Review-level Explanations

2Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

1MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

1AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

1Combined first&\#45;&\#45;principles calculation and neural&\#45;&\#45;network correction approach as a powerful tool in computational physics and chemistry

3Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation.

5Large Scale Distributed Deep Networks

2Deeply-Supervised Nets.

1Nervous system reorganization following injury.

1Regional Load Forecasting in Taiwan Applications of Artificial Neural Networks

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publications (hide)33
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