Timothy T. Rogers
Cognitive Neuroscience · 2003–2017
A researcher in the Science corpus: 10 papers; trusts 62 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 104 citations into it; #1,406 of 10,852 by trust here, #1,084 by citations
- Developmental and Educational Psychology — 57 citations into it; #1,149 of 8,223 by trust here, #825 by citations
- Cognitive Science & Psychology — 44 citations into it
- Experimental and Cognitive Psychology — 39 citations into it; #697 of 9,731 by trust here, #1,321 by citations
- Artificial Intelligence — 32 citations into it; #4,245 of 35,345 by trust here, #5,720 by citations
- Social Psychology — 29 citations into it; #8,110 of 15,694 by trust here, #3,350 by citations
- Natural Language Processing — 24 citations into it; #1,248 of 5,688 by trust here, #1,926 by citations
- Neuroscience — 22 citations into it
Whom Timothy T. Rogers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David E. Rumelhart
- James L. McClelland
- Geoffrey E. Hinton
- Jeffrey L. Elman
- David John Cameron MacKay
- John R. Anderson
- Woo-Kyoung Ahn
- Jean M. Mandler
- Paul Smolensky
- Sabina Pauen
Who trusts Timothy T. Rogers overall
- James L. McClelland
- Andrew M. Saxe
- Max M. Louwerse
- M. L. Lambon Ralph
- Edouard Machery
- Dharshan Kumaran
- Surya Ganguli
- Elizabeth Jefferies
- Stephen J. Flusberg
- Erica H Wojcik
Papers from Timothy T. Rogers's perspective
Ordered by how strongly the researchers Timothy T. Rogers trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Semantic Cognition: A Parallel Distributed Processing Approach (2004) — 1,118 citations
- The parallel distributed processing approach to semantic cognition (2003) — 682 citations
- Where do you know what you know? The representation of semantic knowledge in the human brain (2007) — 2,576 citations
- Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance (2017) — 210 citations
- The neural and computational bases of semantic cognition (2016) — 1,533 citations
- Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis (2013) — 74 citations
- Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words (2012) — 351 citations
- Cognitive Models of Test-Item Effects in Human Category Learning (2010) — 29 citations
- Précis of Semantic Cognition: A Parallel Distributed Processing Approach (2008) — 149 citations
- Structure and deterioration of semantic memory: a neuropsychological and computational investigation. (2004) — 930 citations