Jeremy B. Maitin-Shepard

Nature Methods · 2010–2022

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Jeremy B. Maitin-Shepard trusts overall

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

  1. Antonio Bicchi
  2. Manuel Werlberger
  3. Vijay R. Kumar
  4. Eric Berger

Who trusts Jeremy B. Maitin-Shepard overall

  1. Dimitra Triantafyllou
  2. Jeannette Bohg
  3. Yezhou Yang
  4. Arnau Ramisa
  5. Christian Smith
  6. Sulabh Kumra
  7. Nikos A. Aspragathos
  8. Antonio Morales
  9. Anupam Guha
  10. Guillem Alenyà

Papers from Jeremy B. Maitin-Shepard's perspective

Ordered by how strongly the researchers Jeremy B. Maitin-Shepard 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. Attention is All you Need (Neural Information Processing Systems)
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. ImageNet classification with deep convolutional neural networks
  5. Efficient BackProp
  6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  7. Gradient-based learning applied to document recognition
  8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  9. Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
  10. PyTorch: An Imperative Style, High-Performance Deep Learning Library

Their papers