Bart Dhoedt
Artificial Intelligence · 2004–2018
A researcher in the Science corpus: 10 papers; trusts 103 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it; #19,647 of 35,345 by trust here, #17,776 by citations
- Computer Vision and Pattern Recognition — 50 citations into it; #19,142 of 21,575 by trust here, #13,269 by citations
- Natural Language Processing — 26 citations into it
- Representation & Self-Supervised Learning — 20 citations into it; #1,995 of 3,145 by trust here, #2,516 by citations
- Model Architectures — 18 citations into it
- Information Systems — 13 citations into it
- Computer Networks and Communications — 10 citations into it; #8,603 of 9,886 by trust here, #7,140 by citations
- Statistical and Nonlinear Physics — 7 citations into it
Whom Bart Dhoedt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Alex Graves
- Alex Krizhevsky
- Kaiming He
- Tomas Mikolov
- Quoc V. Le
- Ilya Sutskever
Who trusts Bart Dhoedt overall
Papers from Bart Dhoedt's perspective
Ordered by how strongly the researchers Bart Dhoedt trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification (2018) — 46 citations
- Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations (2018) — 72 citations
- The cascading neural network: building the Internet of Smart Things (2017) — 58 citations
- Worldwide energy needs for ICT: The rise of power-aware networking (2008) — 361 citations
- Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification (2018) — 59 citations
- Representation learning for very short texts using weighted word embedding aggregation (2016) — 197 citations
- Learning Semantic Similarity for Very Short Texts (2015) — 86 citations
- Semantics-driven Event Clustering in Twitter Feeds (2015) — 20 citations
- Cloudlets: bringing the cloud to the mobile user (2012) — 388 citations
- An overview of mobile ad hoc networks: applications and challenges (2004) — 384 citations