Naama Tepper

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 28 citations into it; #34,053 of 35,345 by trust here, #17,412 by citations

Whom Naama Tepper trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)

Who trusts Naama Tepper

1. Timo Schick (in Artificial Intelligence)

Papers from Naama Tepper's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. GloVe: Global Vectors for Word Representation
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Improving Language Understanding by Generative Pre-Training
6. A Neural Probabilistic Language Model
7. WordNet: A Lexical Database for English
8. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
9. Machine learning in automated text categorization
10. EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Their papers

• Do Not Have Enough Data? Deep Learning to the Rescue! (2019) — 410 citations