Dimitris Achlioptas

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 8 papers; trusts 34 researchers and is trusted by 91 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #4,320 of 35,345 by trust here, #9,170 by citations
• Natural Language Processing — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #3,108 of 21,575 by trust here, #9,435 by citations
• Optimization & Training — 9 citations into it
• Computer Networks and Communications — 8 citations into it; #8,819 of 9,886 by trust here, #7,140 by citations

Whom Dimitris Achlioptas trusts overall

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

1. Alexander Soshnikov
2. N. Linial
3. Tomas Mikolov
4. Srinivas M. Aji
5. Alex Krizhevsky
6. Noga Alon
7. Alfredo Braunstein
8. Piotr Indyk
9. Yoshua Bengio
10. Geoffrey E. Hinton

Who trusts Dimitris Achlioptas overall

1. Petros Drineas
2. Daniel A. Spielman
3. Richard Baraniuk
4. Mark A. Davenport
5. Moses Charikar
6. Kenneth L. Clarkson
7. Tamás Sarlós
8. Li Liu
9. Du Tran
10. Sourav Chatterjee

Papers from Dimitris Achlioptas's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Database-friendly random projections (2001) — 982 citations
• Skip-Gram − Zipf + Uniform = Vector Additivity (2017) — 98 citations
• On Spectral Learning of Mixtures of Distributions (2005) — 294 citations
• The threshold for random k-SAT is 2^k log 2 - O(k) (2004) — 109 citations
• Bad Global Minima Exist and SGD Can Reach Them (2019) — 89 citations
• Explosive Percolation in Random Networks (2009) — 551 citations
• On the solution-space geometry of random constraint satisfaction problems (2006) — 215 citations
• Fast computation of low rank matrix approximations (2001) — 356 citations