Tiago H. Falk
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 5 papers; trusts 171 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #28,136 of 35,345 by trust here, #25,040 by citations
- Computer Vision and Pattern Recognition — 63 citations into it
- Generative Models — 27 citations into it
- Signal Processing — 26 citations into it; #3,854 of 7,572 by trust here, #5,086 by citations
- Optimization & Training — 25 citations into it
- Experimental and Cognitive Psychology — 23 citations into it; #6,758 of 9,731 by trust here, #8,015 by citations
- Representation & Self-Supervised Learning — 20 citations into it
- Model Architectures — 10 citations into it
Whom Tiago H. Falk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Antonio Torralba
- Ilya Sutskever
- Karen Simonyan
Who trusts Tiago H. Falk overall
Papers from Tiago H. Falk's perspective
Ordered by how strongly the researchers Tiago H. Falk 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech (2010) — 398 citations
- Adversarial target-invariant representation learning for domain generalization (2019) — 55 citations
- Deep learning-based electroencephalography analysis: a systematic review (2019) — 1,358 citations
- Multi-objective training of Generative Adversarial Networks with multiple discriminators (2019) — 72 citations
- Automatic speech emotion recognition using modulation spectral features (2011) — 395 citations