Eric Hallahan

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 152 citations into it; #32,846 of 35,345 by trust here, #3,907 by citations
• Computer Vision and Pattern Recognition — 61 citations into it; #20,115 of 21,575 by trust here, #10,500 by citations

Whom Eric Hallahan trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ilya Sutskever
7. Kaiming He
8. Ilya Loshchilov
9. Yann LeCun
10. Jimmy Ba

Who trusts Eric Hallahan overall

1. Jonas Oppenlaender

Papers from Eric Hallahan's perspective

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

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

Their papers

• VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance (2022) — 474 citations
• GPT-NeoX-20B: An Open-Source Autoregressive Language Model (2022) — 1,029 citations
• Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling (2023) — 2,009 citations