Ankur Sinha
Artificial Intelligence · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #25,763 of 35,345 by trust here, #20,836 by citations
- Computational Theory and Mathematics — 14 citations into it; #4,398 of 12,182 by trust here, #6,463 by citations
- Control and Systems Engineering — 9 citations into it; #3,083 of 8,257 by trust here, #5,227 by citations
- Finance — 9 citations into it
- Natural Language Processing — 6 citations into it
- Accounting — 5 citations into it
- Economics and Econometrics — 5 citations into it
Whom Ankur Sinha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yafeng Yin
- David M. Blei
- Kalyanmoy Deb
- Frank Hutter
- Stephan Dempe
- Yaochu Jin
- G. G. Wang
- Horst Raff
- John A. Nelder
- Agoston E. Eiben
Who trusts Ankur Sinha overall
- Yaoyao Liu
- Yashesh D. Dhebar
- Bernt Schiele
- Kalyanmoy Deb
- Jason Zhi Liang
- Qianru Sun
- Jiequan Cui
- Dogu Araci
- Risto Miikkulainen
- Anan Liu
Papers from Ankur Sinha's perspective
Ordered by how strongly the researchers Ankur Sinha trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Good debt or bad debt: Detecting semantic orientations in economic texts (2013) — 685 citations
- A bilevel optimization approach to automated parameter tuning (2014) — 51 citations
- A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications (2017) — 909 citations