Matthew Lease
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 8 papers; trusts 79 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 155 citations into it; #31,612 of 35,345 by trust here, #15,004 by citations
- Natural Language Processing — 89 citations into it
- Information Systems — 61 citations into it; #6,106 of 8,771 by trust here, #6,770 by citations
- Computer Vision and Pattern Recognition — 52 citations into it
- Representation & Self-Supervised Learning — 26 citations into it
- Computer Science Applications — 20 citations into it
- Model Architectures — 17 citations into it
- Signal Processing — 14 citations into it
Whom Matthew Lease trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred D. Davis
- Ye Zhang
- Matthew D. Zeiler
- Panagiotis G. Ipeirotis
- Yoon Kim
- Tomas Mikolov
- Winter A. Mason
- Geoffrey E. Hinton
- Yoshua Bengio
- V. Venkatesh
Who trusts Matthew Lease overall
Papers from Matthew Lease's perspective
Ordered by how strongly the researchers Matthew Lease trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- The Psychological Well-Being of Content Moderators: The Emotional Labor of Commercial Moderation and Avenues for Improving Support (2021) — 232 citations
- But Who Protects the Moderators? The Case of Crowdsourced Image Moderation (2018) — 30 citations
- Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content (2020) — 48 citations
- Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization (2017) — 15 citations
- Neural information retrieval: at the end of the early years (2017) — 138 citations
- Beyond Mechanical Turk: An Analysis of Paid Crowd Work Platforms (2015)
- Improving bug localization using structured information retrieval (2013) — 433 citations
- The future of crowd work (2013) — 1,032 citations