Hadi Daneshmand

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 7 papers; trusts 75 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hadi Daneshmand trusts overall

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

  1. Yurii E. Nesterov
  2. Zeyuan Allen-Zhu
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Francis R. Bach
  7. Diederik P. Kingma
  8. Kaiming He
  9. Yann LeCun
  10. L. Eon Bottou

Who trusts Hadi Daneshmand overall

  1. Leonard Adolphs
  2. Jonas Köhler
  3. Giambattista Parascandolo
  4. Matthew Staib
  5. Aurélien Lucchi
  6. Chi Jin
  7. Lei Huang
  8. Waïss Azizian
  9. Piotr A. Sokól
  10. Kaiqing Zhang

Papers from Hadi Daneshmand's perspective

Ordered by how strongly the researchers Hadi Daneshmand 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers