Stevie Chancellor

Social Psychology · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Social Psychology — 23 citations into it

Whom Stevie Chancellor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. M. de Choudhury
2. Jianbo Shi
3. Sho Tsugawa
4. Jacob Eisenstein
5. Glen A. Coppersmith
6. Jitendra Malik
7. Andrew G. Reece
8. Brendan T. O'Connor
9. David Bamman
10. Yusuke Kikuchi

Papers from Stevie Chancellor's perspective

Ordered by how strongly the researchers Stevie Chancellor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Methods in predictive techniques for mental health status on social media: a critical review (2020) — 533 citations
• #thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities (2016) — 304 citations