adam: a method for stochastic optimization dblp
Heterogeneous-Temporal Graph Convolutional Networks: Make the
13 mar 2020 Figure 1: An illustrating example using DBLP datasets. (a) A het- ... Adam: A method for stochastic optimization. |
Deep Graph Clustering via Dual Correlation Reduction
deep graph clustering method termed Dual Correlation Re- model training with all samples on DBLP CITE and ACM ... stochastic optimization. |
ABCDE: Approximating Betweenness-Centrality ranking with
6 sept 2021 Adam: a method for stochastic optimization. In: International Conference on Learning Representations. Kourtellis N Alahakoon T |
Homonym Detection in Curated Bibliographies: Learning from dblps
15 jun 2018 There exist many data sets derived from dblp that are used to train or evaluate author name disambiguation methods [21 7 |
Embedding Dynamic Attributed Networks by Modeling the Evolution
27 oct 2020 Adam: A method for stochastic optimization. arXiv preprint. arXiv:1412.6980. Srijan Kumar Xikun Zhang |
A Zero-Shot Framework for Sketch based Image Retrieval
Kingma D.P. |
Meta-Path-Free Representation Learning on Heterogeneous Networks
16 feb 2021 The proposed method fuses the heterogeneity and develops a k-strata algorithm (k is an ... Adam: A method for stochastic optimization. |
Learning Invariances for Policy Generalization
12 dic 2020 find our data augmentation method to be effective and study the potential of meta- ... Adam: A method for stochastic optimization |
Homonym Detection in Curated Bibliographies: Learning from dblps
15 jun 2018 There exist many data sets derived from dblp that are used to train or evaluate author name disambiguation methods [21 7 |
Supplementary Material for the Paper: Directed Graph Contrastive
For self-supervised methods the task requires to use the adjacency matrix A [5] D. P. Kingma and J. Ba |
A High-Quality Gold Standard for Citation-based Tasks
Michael Färber1,2, Alexander Thiemann1, Adam Jatowt2 DBLP Computer Science Bibliography Evaluations showed that our extraction method currently Stochastic optimization with importance sampling , abs/1401 2753, 2014 ; |
Exploiting Interaction Links for Node Classification with Deep - IJCAI
rent methods either summarize the interaction in- methods have used different types of relational information DBLP For this dataset, we extract a co- authorship network from the papers Adam: A method for stochastic optimization |
A High-Quality Gold Standard for Citation-based Tasks - KIT AIFB
Michael Färber1,2, Alexander Thiemann1, Adam Jatowt2 DBLP Computer Science Bibliography Evaluations showed that our extraction method currently Stochastic optimization with importance sampling , abs/1401 2753, 2014 ; |
Homonym Detection in Curated Bibliographies: Learning from dblps
15 jui 2018 · we present and evaluate a machine learning approach to identify of active, manual curation at the dblp computer science bibliography We use binary cross-entropy as loss function and stochastic gradient descent as optimization algorithm [5] Adam Gibson, Chris Nicholson, and Josh Patterson |
MISSO: Minimization by Incremental Stochastic - Belhal Karimi
behaviour with state-of-the-art optimization methods Adam: A method for stochastic optimization CoRR URL http://dblp uni-trier de/db/conf/icml/ |
Synaptic Strength For Convolutional Neural Network
6 nov 2018 · method for L0 norm regularization for CNNs In order to achieve that, they include a collection of non-negative stochastic gates |