David William Aha
Artificial Intelligence · 1991–2019
A researcher in the Science corpus: 8 papers; trusts 76 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #10,110 of 35,345 by trust here, #13,353 by citations
- Computer Vision and Pattern Recognition — 24 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Statistical Learning Theory — 14 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom David William Aha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Douglas L. Medin
- Robert R. Hoffman
- Thomas M. Cover
- Agnar Aamodt
- D. L. Hintzman
- Christopher G. Atkeson
- Marguerite M. Schaffer
- Yoshua Bengio
- Amos Tversky
Who trusts David William Aha overall
- Iqbal H. Sarker
- Gabriel Synnaeve
- Ludmila I. Kuncheva
- Saso Dzeroski
- Octavio Loyola-González
- M. Maloof
- Gerhard Widmer
- J. Kolter
- Alexey Tsymbal
- David Churchill
Papers from David William Aha's perspective
Ordered by how strongly the researchers David William Aha 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Unsupervised and transfer learning challenge (2011) — 35 citations
- Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game (2005) — 222 citations
- Assessing Elaborated Hypotheses: An Interpretive Case-Based Reasoning Approach (2003) — 19 citations
- DARPA's Explainable Artificial Intelligence (XAI) Program (2019) — 1,701 citations
- Selecting Subgoals using Deep Learning in Minecraft : A Preliminary Report (2016)
- Instance-based learning algorithms (2004)
- A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms (1997)
- Instance-Based Learning Algorithms (1991)