Marcello Herreshoff

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Marcello Herreshoff trusts overall

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

  1. John Hughes
  2. Kai Sheng Tai

Who trusts Marcello Herreshoff overall

  1. Xiaodan Liang
  2. Alec Radford
  3. Yu Su
  4. Pin Gao
  5. Liang-Chih Yu
  6. Daniel Huang

Papers from Marcello Herreshoff's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Torch7: A Matlab-like Environment for Machine Learning
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers