Eliza Szczechla

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 174 citations into it
• Natural Language Processing — 116 citations into it

Whom Eliza Szczechla trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Yonatan Belinkov
6. Tiago Pimentel
7. Alex Krizhevsky

Papers from Eliza Szczechla's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Language Models are Unsupervised Multitask Learners
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Multitask Prompted Training Enables Zero-Shot Task Generalization (2021) — 2,030 citations
• Emergent Structures and Training Dynamics in Large Language Models (2022)
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
• Multitask Prompted Training Enables Zero-Shot Task Generalization (2022) — 242 citations