Victoria Fossum

Natural Language Processing · 2013

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it; #1,707 of 5,688 by trust here, #2,695 by citations
• Artificial Intelligence — 10 citations into it; #8,141 of 35,345 by trust here, #12,580 by citations
• Large Language Models — 5 citations into it

Whom Victoria Fossum trusts overall

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

1. Holger Schwenk
2. Yoshua Bengio
3. Franz Joseph Och
4. Geoffrey E. Hinton
5. Andriy Mnih
6. David Chiang
7. Vinod Nair
8. Michael U Gutmann
9. Aapo Hyvärinen
10. Diederik P. Kingma

Who trusts Victoria Fossum overall

1. Zhijian Ou
2. Rico Sennrich
3. Yoav Goldberg
4. Jiameng Gao
5. Rajen Chatterjee
6. Philip Williams
7. Alexei Baevski
8. Phil Blunsom
9. Barry Haddow
10. Jan A. Botha

Papers from Victoria Fossum's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Decoding with Large-Scale Neural Language Models Improves Translation (2013) — 276 citations