Eric Robertson

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it
• Meta & Continual Learning — 20 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Reinforcement Learning — 9 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Media Technology — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Eric Robertson trusts overall

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

1. Bing Liu
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Lei Shu
10. Zhiyuan Chen

Who trusts Eric Robertson overall

1. Gyuhak Kim

Papers from Eric Robertson's perspective

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

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

Their papers

• AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation (2022) — 49 citations
• Self-Initiated Open World Learning for Autonomous AI Agents (2021) — 11 citations
• Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP (2021) — 229 citations
• MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation (2019) — 318 citations