Nishant A. Mehta
Artificial Intelligence · 2010–2016
A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Statistical Learning Theory — 16 citations into it; #767 of 1,038 by trust here, #948 by citations
- Statistics and Probability — 15 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Management Science and Operations Research — 6 citations into it
- Information Theory — 5 citations into it
Whom Nishant A. Mehta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Smola
- Arthur Gretton
- Bernhard Schölkopf
- Tong Zhang
- Tony Jebara
- Risi Kondor
- Larry A. Wasserman
- Peter D. Grünwald
- Tommi S. Jaakkola
- Sam T. Roweis
Who trusts Nishant A. Mehta overall
Papers from Nishant A. Mehta's perspective
Ordered by how strongly the researchers Nishant A. Mehta 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fast Rates with Unbounded Losses (2016) — 26 citations
- Generative and Latent Mean Map Kernels (2010) — 6 citations