Brent J. Hecht

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 13 papers; trusts 47 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Brent J. Hecht trusts overall

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

  1. Michael F. Goodchild
  2. Linna Li
  3. James Hays
  4. David J. Crandall
  5. Bárbara Poblete
  6. Zhiyuan Cheng
  7. Andrew McCallum
  8. Darren Gergle
  9. Fred Morstatter
  10. Mor Naaman

Who trusts Brent J. Hecht overall

  1. Isaac L. Johnson
  2. Momin M. Malik
  3. Johannes Schöning
  4. Subhasree Sengupta
  5. Bart Thomee
  6. Connor McMahon
  7. Jürgen Pfeffer
  8. Jacob Eisenstein
  9. Bo Han
  10. Mark Graham

Papers from Brent J. Hecht's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers