Karl Pichotta

Natural Language Processing · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Karl Pichotta trusts overall

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

  1. Nathanael Chambers
  2. Michaela Regneri
  3. Marie-Catherine de Marneffe
  4. Dan Jurafsky
  5. Mehdi Manshadi
  6. Niranjan Balasubramanian
  7. Christopher D. Manning
  8. Bram Jans
  9. Ilya Sutskever
  10. Karthik Raghunathan

Who trusts Karl Pichotta overall

  1. Zhongyang Li
  2. Rachel Rudinger
  3. Nasrin Mostafazadeh
  4. Snigdha Chaturvedi
  5. Xiao Ding
  6. Haoruo Peng
  7. Alyson Grealish
  8. Vera Demberg
  9. Ashutosh Modi
  10. Ting-Wei Liu

Papers from Karl Pichotta's perspective

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

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

Their papers