Benjamin L. Edelman
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Scaling & Learning Theory — 19 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Marketing — 5 citations into it; #2,455 of 6,289 by trust here, #4,031 by citations
Whom Benjamin L. Edelman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Benjamin L. Edelman overall
- Przemyslaw Jeziorski
- Tilman Börgers
- Ilya Segal
- Ingemar Johansson Cox
- Nikhil R. Devanur
- Susan Athey
- Martin Pesendorfer
Papers from Benjamin L. Edelman's perspective
Ordered by how strongly the researchers Benjamin L. Edelman 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)
- Understanding the difficulty of training deep feedforward neural networks
- Identity Mappings in Deep Residual Networks
- Understanding deep learning requires rethinking generalization
- Speech recognition with deep recurrent neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Mastering the game of Go with deep neural networks and tree search
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- SGD on Neural Networks Learns Functions of Increasing Complexity (2019) — 301 citations
- Strategic bidder behavior in sponsored search auctions (2007) — 307 citations
- To Groupon or not to Groupon: The profitability of deep discounts (2014) — 254 citations