Kalyan Veeramachaneni

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 12 papers; trusts 288 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Kalyan Veeramachaneni trusts overall

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

  1. Geoffrey E. Hinton
  2. Jerome P. Reiter
  3. Yoshua Bengio
  4. Radford M. Neal
  5. David M. Blei
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Michael I. Jordan
  10. Kaiming He

Who trusts Kalyan Veeramachaneni overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Samuel A. Assefa
  4. Vadim Borisov
  5. Justin Engelmann
  6. Quanming Yao
  7. Zilong Zhao
  8. Micah J. Smith
  9. Udayan Khurana
  10. Yi-Wei Chen

Papers from Kalyan Veeramachaneni's perspective

Ordered by how strongly the researchers Kalyan Veeramachaneni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers