Martin Potthast

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 15 papers; trusts 15 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Potthast trusts overall

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

  1. Andrei Z. Broder
  2. Michele Banko
  3. Ying Zhao
  4. Alexander Yates
  5. Abhijnan Chakraborty
  6. Alexander M. Rush
  7. Michael J. Cafarella
  8. Sumit Chopra
  9. George Karypis
  10. Dong Nguyen

Who trusts Martin Potthast overall

  1. Xinyi Zhou
  2. Kai Shu
  3. J'er'emy Scheurer
  4. Neema Kotonya
  5. Giovanni Da San Martino
  6. Nitin Madnani
  7. Verónica Pérez-Rosas
  8. Alberto Barrón-Cedeño
  9. Maria D. Molina
  10. Lucie-Aimée Kaffee

Papers from Martin Potthast's perspective

Ordered by how strongly the researchers Martin Potthast 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. GloVe: Global Vectors for Word Representation
  7. Efficient Estimation of Word Representations in Vector Space
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Language Models are Unsupervised Multitask Learners
  10. Gradient-based learning applied to document recognition

Their papers