Collin McMillan
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 5 papers; trusts 145 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #10,340 of 35,345 by trust here, #17,110 by citations
- Information Systems — 62 citations into it; #1,431 of 8,771 by trust here, #2,406 by citations
- Natural Language Processing — 54 citations into it; #4,671 of 5,688 by trust here, #4,879 by citations
- Software — 24 citations into it; #303 of 1,227 by trust here, #489 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Computer Networks and Communications — 18 citations into it; #7,354 of 9,886 by trust here, #6,217 by citations
- Code Generation & Program Synthesis — 13 citations into it; #160 of 220 by trust here, #177 by citations
- Model Architectures — 11 citations into it
Whom Collin McMillan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Gail C. Murphy
- Jonathan Sillito
- Dzmitry Bahdanau
- Yoshua Bengio
- Philipp Koehn
- Geoffrey E. Hinton
- Kyunghyun Cho
- Rico Sennrich
- Oriol Vinyals
Who trusts Collin McMillan overall
- Xiaodong Gu
- Alexander LeClair
- Hongyu Zhang
- Varot Premtoon
- Anh Tuan Nguyen
- Yanxin Lu
- Jian Zhang
- Toufique Ahmed
- Wasi Uddin Ahmad
- Siyuan Jiang
Papers from Collin McMillan's perspective
Ordered by how strongly the researchers Collin McMillan trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Improved Code Summarization via a Graph Neural Network (2020) — 335 citations
- A Neural Model for Generating Natural Language Summaries of Program Subroutines (2019) — 335 citations
- Automatically generating commit messages from diffs using neural machine translation (2017) — 292 citations
- Portfolio: Searching for relevant functions and their usages in millions of lines of code (2013) — 90 citations
- Portfolio: finding relevant functions and their usage (2011) — 375 citations