Deevyankar Agarwal

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deevyankar Agarwal trusts overall

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

  1. Mingxing Tan
  2. Ioannis D. Apostolopoulos
  3. Suat Toraman
  4. Nisha Muralidharan
  5. Alexander V. Buslaev
  6. Sakshi Ahuja
  7. Joseph Paul Cohen
  8. Quoc V. Le
  9. T. Ozturk

Papers from Deevyankar Agarwal's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers