Akshita Jha

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Akshita Jha trusts overall

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

  1. Sepp Hochreiter
  2. Dzmitry Bahdanau
  3. Yoshua Bengio
  4. Mike Schuster
  5. Armand Joulin
  6. Piotr Bojanowski
  7. Gerard A. Salton
  8. Kyunghyun Cho
  9. C. D. Santos
  10. Zeerak Talat

Who trusts Akshita Jha overall

  1. Antigoni-Maria Founta
  2. Debora Nozza
  3. Jana Kurrek
  4. Luke Breitfeller
  5. Bertie Vidgen
  6. David Jurgens
  7. Despoina Chatzakou
  8. Federico Bianchi
  9. Georgios K. Pitsilis
  10. Haji Mohammad Saleem

Papers from Akshita Jha's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images

Their papers