David Muchlinski

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Natural Language Processing — 32 citations into it
• Sociology and Political Science — 14 citations into it
• Information Systems — 12 citations into it
• Statistics and Probability — 12 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom David Muchlinski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman
2. Nitesh V. Chawla
3. Eric R. Ziegel
4. S. Geisser
5. Chao Chen
6. Christopher Zorn
7. Gary King
8. Trevor J. Hastie
9. Brian Greenhill
10. Pradeep Ravikumar

Who trusts David Muchlinski overall

1. Fan Huang

Papers from David Muchlinski's perspective

Ordered by how strongly the researchers David Muchlinski trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Language Models are Unsupervised Multitask Learners

Their papers

• Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data (2016) — 244 citations
• Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (2021) — 377 citations