Piotr Andruszkiewicz

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Piotr Andruszkiewicz trusts

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

  1. Christopher D. Manning (in Natural Language Processing)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Richard Socher (in Natural Language Processing)
  4. Jeffrey Pennington (in Natural Language Processing)
  5. Kyunghyun Cho (in Artificial Intelligence)

Papers from Piotr Andruszkiewicz's perspective

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

  1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  2. GloVe: Global Vectors for Word Representation
  3. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  4. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
  5. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Support Vector Regression Machines
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers