Joseph Reisinger

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 6 citations into it; #1,231 of 5,688 by trust here, #2,888 by citations

Whom Joseph Reisinger trusts overall

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

1. K. Erk
2. James Richard Curran
3. Bradley C. Love
4. Rion Snow
5. Arindam Banerjee
6. Evgeniy Gabrilovich
7. Inderjit S. Dhillon
8. Hinrich Schütze
9. Douglas L. Medin
10. Brendan T. O'Connor

Who trusts Joseph Reisinger overall

1. Wen-tau Yih
2. Mohammad Taher Pilehvar
3. Eric T. Nalisnick
4. José Camacho-Collados
5. Ignacio Iacobacci
6. Oren Melamud
7. Yang Liu
8. Timothee Mickus
9. Maria Pelevina
10. Nigel Collier

Papers from Joseph Reisinger's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Multi-Prototype Vector-Space Models of Word Meaning (2010) — 425 citations