Dinesh Kumar Vishwakarma

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Dinesh Kumar Vishwakarma trusts overall

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

  1. Soujanya Poria
  2. Erik Cambria
  3. Richard Socher
  4. Ronan Collobert
  5. Geoffrey E. Hinton
  6. Tomas Mikolov
  7. Bing Liu
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Bo Pang

Who trusts Dinesh Kumar Vishwakarma overall

  1. Margarita Rodríguez-Ibáñez

Papers from Dinesh Kumar Vishwakarma's perspective

Ordered by how strongly the researchers Dinesh Kumar Vishwakarma 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers