Ameya Dilip Jagtap

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 63 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ameya Dilip Jagtap trusts overall

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

  1. G. Em Karniadakis
  2. Maizar Raissi
  3. Diederik P. Kingma
  4. Sebastian Ruder
  5. Paris Perdikaris
  6. E. Kharazmi
  7. Jimmy Ba
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Ameya Dilip Jagtap overall

  1. G. Em Karniadakis
  2. Zhiping Mao
  3. Shengze Cai
  4. Majid Rasht-Behesht
  5. Khemraj Shukla
  6. Siddhartha Mishra
  7. Salvatore Cuomo
  8. Han Gao
  9. C. Huber
  10. Nikolaus A. Adams

Papers from Ameya Dilip Jagtap's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers