Wojciech Walczak

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

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Wojciech Walczak trusts overall

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

1. Richard Socher

Papers from Wojciech Walczak's perspective

Ordered by how strongly the researchers Wojciech Walczak 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. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection

Their papers

• Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. (2016) — 55 citations