Shervin Malmasi
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 6 papers; trusts 77 researchers and is trusted by 61 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 110 citations into it; #4,968 of 35,345 by trust here, #3,687 by citations
- Natural Language Processing — 96 citations into it; #866 of 5,688 by trust here, #791 by citations
- Information Systems — 35 citations into it
- Evaluation & Benchmarks — 28 citations into it; #802 of 3,147 by trust here, #704 by citations
- Safety, Robustness & Interpretability — 24 citations into it; #394 of 2,251 by trust here, #630 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- AI Ethics, Fairness & Society — 17 citations into it; #324 of 494 by trust here, #338 by citations
- Communication — 10 citations into it; #411 of 3,460 by trust here, #359 by citations
Whom Shervin Malmasi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Leo Breiman
- P. Burnap
- Ron Kohavi
- Robi Polikar
- Aixia Guo
- Yoav Freund
- Rong-En Fan
- Thomas Davidson
- David M. Blei
Who trusts Shervin Malmasi overall
- Marcos Zampieri
- Segun Taofeek Aroyehun
- Bertie Vidgen
- Valerio Basile
- Ritesh Kumar
- Sara Rosenthal
- Tommaso Caselli
- Jelena Mitrović
- Marzieh Mozafari
- Yangjun Zhang
Papers from Shervin Malmasi's perspective
Ordered by how strongly the researchers Shervin Malmasi 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Findings of the 2019 Conference on Machine Translation (WMT19) (2019) — 630 citations
- SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) (2019) — 874 citations
- Predicting the Type and Target of Offensive Posts in Social Media (2019) — 905 citations
- Detecting Hate Speech in Social Media (2017) — 346 citations
- Benchmarking Aggression Identification in Social Media (2018) — 447 citations
- Challenges in discriminating profanity from hate speech (2017) — 261 citations