Samory Kpotufe

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 9 papers; trusts 55 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it; #5,823 of 35,345 by trust here, #15,866 by citations
• Representation & Self-Supervised Learning — 34 citations into it
• Statistics and Probability — 31 citations into it; #2,006 of 12,932 by trust here, #4,371 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #5,837 of 21,575 by trust here, #17,757 by citations
• Statistical Learning Theory — 16 citations into it; #342 of 1,038 by trust here, #817 by citations
• Signal Processing — 15 citations into it; #5,479 of 7,572 by trust here, #3,913 by citations
• Computational Mechanics — 10 citations into it
• Causal Inference & Discovery — 9 citations into it; #255 of 364 by trust here, #277 by citations

Whom Samory Kpotufe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. C. Stone
2. Jan Peters
3. Alexander G. Gray
4. Joan G. Staniswalis
5. Peter J. Bickel
6. László Györfi
7. Sanjoy Dasgupta
8. Robert Krauthgamer
9. Christopher G. Atkeson
10. Mikhail Belkin

Who trusts Samory Kpotufe overall

1. Rafael Izbicki
2. Krikamol Muandet
3. Bernhard Schölkopf
4. Barnab'as P'oczos
5. David Lopez-Paz
6. Junier B. Oliva
7. Zoltán Szabó
8. David Balduzzi
9. Rahul Ramesh
10. Ann B. Lee

Papers from Samory Kpotufe's perspective

Ordered by how strongly the researchers Samory Kpotufe trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Et al
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Consistency of Causal Inference under the Additive Noise Model (2013) — 45 citations
• On the Value of Target Data in Transfer Learning (2020) — 87 citations
• k-NN Regression Adapts to Local Intrinsic Dimension (2011) — 141 citations
• Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? (2009) — 85 citations
• Gradient Weights help Nonparametric Regressors (2012) — 8 citations
• A No-Free-Lunch Theorem for MultiTask Learning (2020) — 45 citations
• A Consistent Estimator of the Expected Gradient Outerproduct (2014) — 26 citations
• Escaping the Curse of Dimensionality with a Tree-based Regressor (2009) — 21 citations
• Fast, smooth and adaptive regression in metric spaces (2009) — 13 citations