Martha A. Larson
Information Systems · 2010–2016
A researcher in the Science corpus: 7 papers; trusts 81 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 146 citations into it; #1,306 of 8,771 by trust here, #1,265 by citations
- Artificial Intelligence — 82 citations into it; #19,282 of 35,345 by trust here, #13,544 by citations
- Computer Vision and Pattern Recognition — 70 citations into it
- Management Science and Operations Research — 44 citations into it; #4,760 of 11,946 by trust here, #2,728 by citations
- Recommender Systems — 41 citations into it
- Signal Processing — 28 citations into it
- Marketing — 25 citations into it
- Statistical and Nonlinear Physics — 24 citations into it
Whom Martha A. Larson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Hofmann
- Yehuda Koren
- Ruslan Salakhutdinov
- Steffen Rendle
- Jonathan L. Herlocker
- J. Konstan
- Geoffrey E. Hinton
- Mukund Deshpande
- Yoshua Bengio
- Andriy Mnih
Who trusts Martha A. Larson overall
- Harald Steck
- Marius Kaminskas
- Zhaochun Ren
- Hao Wang
- Piji Li
- Weinan Zhang
- Jun Xu
- Trapit Bansal
- Yao Wu
- Alexandros Karatzoglou
Papers from Martha A. Larson's perspective
Ordered by how strongly the researchers Martha A. Larson 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering (2012) — 339 citations
- Recurrent neural network language model adaptation with curriculum learning (2015) — 75 citations
- TFMAP: optimizing MAP for top-n context-aware recommendation (2012) — 231 citations
- Collaborative Filtering beyond the User-Item Matrix (2014) — 858 citations
- Mining contextual movie similarity with matrix factorization for context-aware recommendation (2013) — 111 citations
- ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview (2016) — 89 citations
- List-wise learning to rank with matrix factorization for collaborative filtering (2010) — 266 citations