Justin D. Weisz
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 96 citations into it; #35,150 of 35,345 by trust here, #17,776 by citations
- Safety, Robustness & Interpretability — 38 citations into it
- Safety Research — 36 citations into it; #5,088 of 5,829 by trust here, #2,344 by citations
- Human-Computer Interaction — 29 citations into it
- Social Psychology — 28 citations into it
- Information Systems and Management — 26 citations into it
- Natural Language Processing — 23 citations into it
- AI Ethics, Fairness & Society — 11 citations into it
Whom Justin D. Weisz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thilo Hagendorff
- Alec Radford
- B. Thompson
- S. Elo
- Cynthia Rudin
- Marc-André Zöller
- Geoffrey E. Hinton
- Yoshua Bengio
- John D. Lee
- M. Madsen
Who trusts Justin D. Weisz overall
Papers from Justin D. Weisz's perspective
Ordered by how strongly the researchers Justin D. Weisz trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019) — 71 citations
- Privacy and Fear in the Drone Era: Preserving Privacy Expectations Through Technology (2018) — 17 citations
- Design Principles for Generative AI Applications (2024) — 303 citations
- The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development (2023) — 335 citations
- Expanding Explainability: Towards Social Transparency in AI systems (2021) — 589 citations
- BigBlueBot: teaching strategies for successful human-agent interactions (2019) — 43 citations
- Human-AI Collaboration in Data Science (2019) — 338 citations