Sakshi Agarwal

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sakshi Agarwal trusts overall

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

  1. Mehdi Mirza
  2. Yuezun Li
  3. Simon Osindero
  4. Pavel Korshunov
  5. Falko Matern
  6. Siwei Lyu
  7. Soumith Chintala

Who trusts Sakshi Agarwal overall

  1. Thanh Thi Nguyen
  2. Cu Nguyen
  3. Yisroel Mirsky
  4. L. Varshney
  5. Dung Nguyen

Papers from Sakshi Agarwal's perspective

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

  1. Wasserstein GAN
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Conditional Generative Adversarial Nets
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers