Gábor Takács
Information Systems · 2009
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 9 citations into it; #4,948 of 8,771 by trust here, #3,402 by citations
- Recommender Systems — 7 citations into it
Whom Gábor Takács trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Resnick
- John F. Canny
- Dennis DeCoste
- Gediminas Adomavicius
- Nati Srebro
- Badrul Munir Sarwar
- Ruslan Salakhutdinov
- Alexander Tuzhilin
- George Karypis
- Jason D. M. Rennie
Who trusts Gábor Takács overall
- Xin Luo
- Steffen Rendle
- Christian Desrosiers
- András A. Benczúr
- Ulrich Paquet
- Ian R. Porteous
- Hsiang-Fu Yu
- Rong Chen
- George Karypis
- Mengchu Zhou
Papers from Gábor Takács's perspective
Ordered by how strongly the researchers Gábor Takács trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Scalable Collaborative Filtering Approaches for Large Recommender Systems (2009) — 549 citations