Sebastian Bruch
Artificial Intelligence · 2013
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #9,572 of 35,345 by trust here, #18,586 by citations
- Information Systems — 12 citations into it; #1,511 of 8,771 by trust here, #3,640 by citations
- Information Retrieval & Search — 7 citations into it
- Signal Processing — 5 citations into it
Whom Sebastian Bruch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- C. Burges
- Leo Breiman
- Jerome H. Friedman
- Robert Tibshirani
- Yasser Ganjisaffar
- Hang Li
- Kalervo Järvelin
- Trevor J. Hastie
- R. Caruana
- Gordon V. Cormack
Who trusts Sebastian Bruch overall
- Jimmy J. Lin
- Rodrigo Nogueira
- C. Clarke
- Chris Kamphuis
- Hannes Mühleisen
- J. Shane Culpepper
- Adith Swaminathan
- A. D. Vries
- Peilin Yang
- Zeynep Akkalyoncu Yilmaz
Papers from Sebastian Bruch's perspective
Ordered by how strongly the researchers Sebastian Bruch 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)
- Greedy function approximation: A gradient boosting machine.
- Bagging Predictors
- Long Short-Term Memory
- Regression Shrinkage and Selection via the Lasso
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures (2013) — 110 citations
- Training Efficient Tree-Based Models for Document Ranking (2013) — 32 citations