Rohan Badlani

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rohan Badlani trusts overall

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

  1. Alex Graves
  2. Adrian La'ncucki
  3. Dzmitry Bahdanau
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Lawrence R. Rabiner
  7. Geoffrey E. Hinton
  8. Rafael Valle
  9. Kyunghyun Cho
  10. Jaehyeon Kim

Who trusts Rohan Badlani overall

  1. D. Lim
  2. Minki Kang
  3. Sunghee Jung
  4. Dacheng Yin
  5. Dong Min

Papers from Rohan Badlani's perspective

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

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

Their papers