Ellery Wulczyn
Artificial Intelligence · 2016–2025
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #4,395 of 35,345 by trust here, #5,187 by citations
- Natural Language Processing — 22 citations into it
- Information Systems — 5 citations into it; #500 of 8,771 by trust here, #811 by citations
Whom Ellery Wulczyn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charu C. Aggarwal
- James Bergstra
- Karthik Dinakar
- Yoshua Bengio
- Klaus Krippendorff
- Kimberly A. Neuendorf
- Robert S. Tokunaga
- Roi Reichart
- Geoffrey E. Hinton
- Alex Krizhevsky
Who trusts Ellery Wulczyn overall
- Isar Nejadgholi
- Svetlana Kiritchenko
- Mladen Karan
- John Pavlopoulos
- Jing Xu
- Emily Dinan
- Bertie Vidgen
- Oguzhan Gencoglu
- Da Ju
- Maarten Sap
Papers from Ellery Wulczyn's perspective
Ordered by how strongly the researchers Ellery Wulczyn trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Towards Expert-Level Medical Question Answering with Large Language Models (2023) — 799 citations
- Ex Machina: Personal Attacks Seen at Scale (2016) — 846 citations
- Toward expert-level medical question answering with large language models (2025) — 1,038 citations
- Capabilities of Gemini Models in Medicine (2024) — 407 citations
- Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer (2018) — 458 citations