Sunil Gupta
Artificial Intelligence · with Venkatesh · 2002–2020
A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it
- Computational Theory and Mathematics — 35 citations into it
- Management Science and Operations Research — 32 citations into it
- Optimization & Training — 21 citations into it
Whom Sunil Gupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrik O. Hoyer
- Frank Hutter
- Donald R. Jones
- Jasper Snoek
- Sinno Jialin Pan
- Gerard A. Salton
- Arthur P. Dempster
- Daniel D. Lee
- Geoffrey E. Hinton
- Yoshua Bengio
Who trusts Sunil Gupta overall
Papers from Sunil Gupta's perspective
Ordered by how strongly the researchers Sunil Gupta 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Nonnegative shared subspace learning and its application to social media retrieval (2010) — 105 citations
- Stable Bayesian optimization (2018) — 33 citations
- Bayesian Optimization for Categorical and Category-Specific Continuous Inputs (2019) — 60 citations
- Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View (2016) — 874 citations
- Pricing Access Services (2002) — 119 citations
- Bayesian Optimization for Adaptive Experimental Design: A Review (2020) — 398 citations