Krzysztof Z Gajos
Artificial Intelligence · 2004–2021
A researcher in the Science corpus: 9 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #29,832 of 35,345 by trust here, #15,542 by citations
- Human-Computer Interaction — 21 citations into it; #2,162 of 2,253 by trust here, #1,275 by citations
- Safety, Robustness & Interpretability — 17 citations into it
- Safety Research — 15 citations into it
- Cognitive Neuroscience — 12 citations into it
- Management Science and Operations Research — 9 citations into it
- General Decision Sciences — 7 citations into it
- Information Systems — 6 citations into it
Whom Krzysztof Z Gajos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maneesh Agrawala
- Shankar Ponnekanti
- Himabindu Lakkaraju
- Chris Stolte
- Ben Green
- Brian Lee
- David R. Thomas
- Brad A. Myers
- Jeffrey Nichols
- Scott M. Lundberg
Who trusts Krzysztof Z Gajos overall
Papers from Krzysztof Z Gajos's perspective
Ordered by how strongly the researchers Krzysztof Z Gajos trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Towards A Rigorous Science of Interpretable Machine Learning
- Long Short-Term Memory
- Et al
Their papers
- To Trust or to Think (2021) — 682 citations
- Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems (2020) — 379 citations
- AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning (2016) — 177 citations
- Active learning of intuitive control knobs for synthesizers using gaussian processes (2014) — 14 citations
- Understanding in-video dropouts and interaction peaks inonline lecture videos (2014) — 439 citations
- Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness (2013) — 342 citations
- Platemate: crowdsourcing nutritional analysis from food photographs (2011) — 295 citations
- Automatically generating personalized user interfaces with Supple (2010) — 331 citations
- SUPPLE: automatically generating user interfaces (2004) — 516 citations