Ramnath Balasubramanyan

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #6,297 of 35,345 by trust here, #7,413 by citations

Whom Ramnath Balasubramanyan trusts overall

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

1. Yan Liu
2. Michal Rosen-Zvi
3. T. Griffiths
4. Edoardo M. Airoldi
5. Ramesh Nallapati
6. David M. Blei
7. Eric P. Xing
8. Mark Steyvers
9. Alexandru Niculescu-Mizil
10. Stephen E. Fienberg

Who trusts Ramnath Balasubramanyan overall

1. Julian McAuley
2. Jure Leskovec
3. Dana Movshovitz-Attias
4. Jaewon Yang
5. Ninareh Mehrabi
6. Cécile Bothorel
7. William W. Cohen
8. Saif M. Mohammad
9. Daniel Gayo-Avello
10. Xia Hu

Papers from Ramnath Balasubramanyan's perspective

Ordered by how strongly the researchers Ramnath Balasubramanyan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Finding scientific topics

Their papers

• From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series (2010) — 2,148 citations
• Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links (2014) — 148 citations