Devdatt P. Dubhashi

Natural Language Processing · 1996–2015

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it
• Artificial Intelligence — 11 citations into it; #7,826 of 35,345 by trust here, #14,438 by citations
• Computational Theory and Mathematics — 8 citations into it; #3,212 of 12,182 by trust here, #3,796 by citations
• Graph Learning — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Devdatt P. Dubhashi trusts overall

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

1. Christopher K. I. Williams
2. Nino Shervashidze
3. Karsten M. Borgwardt
4. Tomas Mikolov
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Thomas Gärtner
8. Robert Tibshirani
9. Holger Fröhlich
10. Michel Ledoux

Who trusts Devdatt P. Dubhashi overall

1. Daniel A. Spielman
2. Dominic Dotterrer
3. Alina Ene
4. Artur Czumaj
5. Stéphane Boucheron
6. Ilmun Kim
7. Mathieu Gerber
8. Anna Ben-Hamou
9. Nathael Gozlan
10. Han Lin

Papers from Devdatt P. Dubhashi's perspective

Ordered by how strongly the researchers Devdatt P. Dubhashi 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Efficient Estimation of Word Representations in Vector Space
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Neural context embeddings for automatic discovery of word senses (2015) — 26 citations
• Concentration of measure for the analysis of randomized algorithms by Devdatt P. Dubhashi and Alessandro Panconesi Cambridge University Press, 2009 (2009) — 1,115 citations
• Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings (2015) — 42 citations
• Balls and Bins: A Study in Negative Dependence (1996)