Mary Lou Soffa
Artificial Intelligence · 2001–2018
A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #15,279 of 35,345 by trust here, #14,438 by citations
- Computer Networks and Communications — 17 citations into it; #4,160 of 9,886 by trust here, #3,753 by citations
- Safety, Robustness & Interpretability — 15 citations into it; #1,400 of 2,251 by trust here, #1,371 by citations
- Hardware and Architecture — 13 citations into it; #1,470 of 1,551 by trust here, #954 by citations
- Natural Language Processing — 12 citations into it
- Information Systems — 9 citations into it; #8,472 of 8,771 by trust here, #5,501 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Mary Lou Soffa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Nicolas Papernot
- Richard Socher
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- David E. Goldberg
- Christian Szegedy
- Sepp Hochreiter
- Alex Krizhevsky
Who trusts Mary Lou Soffa overall
- Mark Harman
- Phil McMinn
- Shin Yoo
- Westley Weimer
- Yonatan Belinkov
- Claire Le Goues
- Edward K. Smith
- Siddhant Garg
Papers from Mary Lou Soffa's perspective
Ordered by how strongly the researchers Mary Lou Soffa trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers (2018) — 869 citations
- Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations (2011) — 649 citations
- TimeAware test suite prioritization (2006) — 404 citations
- Hierarchical GUI Test Case Generation Using Automated Planning (2001) — 321 citations