Gabriella Vigliocco
Developmental and Educational Psychology · 2001–2014
A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Developmental and Educational Psychology — 59 citations into it; #1,636 of 8,223 by trust here, #974 by citations
- Cognitive Neuroscience — 57 citations into it; #10,465 of 10,852 by trust here, #8,086 by citations
- Social Psychology — 49 citations into it; #6,130 of 15,694 by trust here, #4,401 by citations
- Experimental and Cognitive Psychology — 48 citations into it; #3,407 of 9,731 by trust here, #2,159 by citations
- Cognitive Science & Psychology — 18 citations into it
- Natural Language Processing — 17 citations into it
- Artificial Intelligence — 16 citations into it; #15,135 of 35,345 by trust here, #17,412 by citations
- Representation & Self-Supervised Learning — 11 citations into it
Whom Gabriella Vigliocco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Landauer
- Hinrich Schütze
- Mark Andrews
- Eleanor Rosch
- Thomas Hofmann
- Zachary Estes
- Arthur M. Glenberg
- Lawrence W. Barsalou
- Susan T. Dumais
- Jr. Frank E. Harrell
Who trusts Gabriella Vigliocco overall
- Alessandro Lenci
- Markus Kiefer
- Guy Dove
- Mirella Lapata
- Carina Silberer
- Friedemann Pulvermüller
- S. Kousta
- Bodo Winter
- Yansong Feng
- Li Lucy
Papers from Gabriella Vigliocco's perspective
Ordered by how strongly the researchers Gabriella Vigliocco trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- The Ecological Approach to Visual Perception
- Symbol Grounding and Meaning: A Comparison of High-Dimensional and Embodied Theories of Meaning
Their papers
- Integrating experiential and distributional data to learn semantic representations. (2009) — 440 citations
- Toward a theory of semantic representation (2009) — 316 citations
- Coming of age: A review of embodiment and the neuroscience of semantics (2012) — 711 citations
- The representation of abstract words: why emotion matters. (2011) — 802 citations
- Language as a multimodal phenomenon: implications for language learning, processing and evolution (2014) — 245 citations
- Iconicity as a General Property of Language: Evidence from Spoken and Signed Languages (2010) — 541 citations
- The interplay of syntax and form in sentence production: A cross-linguistic study of form effects on agreement (2008) — 95 citations
- When Sex Affects Syntax: Contextual Influences in Sentence Production (2001) — 90 citations