Daniel L. Silver
Artificial Intelligence · 1996–2015
A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #8,267 of 35,345 by trust here, #12,761 by citations
- Representation & Self-Supervised Learning — 20 citations into it
- Reinforcement Learning — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it; #11,320 of 21,575 by trust here, #20,271 by citations
Whom Daniel L. Silver trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- R. Caruana
- Jonathan Baxter
- Mark B. Ring
- Tom Michael Mitchell
- Yoshua Bengio
- Satinder Singh
- Stephen Grossberg
- Tony Jebara
- Richard S. Sutton
Who trusts Daniel L. Silver overall
- Bing Liu
- Rahaf Aljundi
- Jason Ramapuram
- Shan Suthaharan
- Matthias De Lange
- Zhiyuan Chen
- Magda Gregorová
- Zixuan Ke
- Qiang Yang
- Shagun Sodhani
Papers from Daniel L. Silver's perspective
Ordered by how strongly the researchers Daniel L. Silver 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data (2002) — 144 citations
- Inductive transfer with context-sensitive neural networks (2008) — 58 citations
- Neural-Symbolic Learning and Reasoning: Contributions and Challenges (2015) — 201 citations
- Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem (2015) — 18 citations
- Lifelong Machine Learning Systems: Beyond Learning Algorithms (2013) — 379 citations
- Machine Lifelong Learning: Challenges and Benefits for Artificial General Intelligence (2011) — 38 citations
- The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness (1996)