Sayan Mukherjee

Artificial Intelligence · with Chapelle · 2000–2006

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #4,848 of 35,345 by trust here, #4,888 by citations
• Statistical Learning Theory — 7 citations into it; #256 of 1,038 by trust here, #190 by citations
• Scaling & Learning Theory — 5 citations into it

Whom Sayan Mukherjee trusts overall

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

1. Leslie G. Valiant
2. Olivier Bousquet
3. Luc Devroye
4. Vladimir Naumovich Vapnik
5. Michael Kearns
6. Yoshua Bengio
7. Yuhai Wu
8. Tomaso A. Poggio
9. Andre´ Elisseeff
10. Olivier Chapelle

Who trusts Sayan Mukherjee overall

1. Tony Jebara
2. Alain Rakotomamonjy
3. Tamir Hazan
4. Jason Aaron Edward Weston
5. Isabelle M Guyon
6. Maxim Raginsky
7. Emilio Carrizosa
8. Yakoub Bazi
9. Kari Torkkola
10. Ibrahim M. Alabdulmohsin

Papers from Sayan Mukherjee's perspective

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

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

Their papers

• Choosing Multiple Parameters for Support Vector Machines (2002) — 2,403 citations
• Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization (2006) — 241 citations
• Estimating Dataset Size Requirements for Classifying DNA Microarray Data (2003) — 301 citations
• Feature Selection for SVMs (2000) — 1,183 citations