Soroush Vosoughi
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 11 papers; trusts 322 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 390 citations into it; #26,268 of 35,345 by trust here, #7,062 by citations
- Natural Language Processing — 287 citations into it; #2,145 of 5,688 by trust here, #1,205 by citations
- Computer Vision and Pattern Recognition — 148 citations into it
- Large Language Models — 78 citations into it
- Safety, Robustness & Interpretability — 49 citations into it
- Representation & Self-Supervised Learning — 47 citations into it
- Sociology and Political Science — 38 citations into it; #5,129 of 22,756 by trust here, #2,012 by citations
- Evaluation & Benchmarks — 30 citations into it
Whom Soroush Vosoughi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Quoc V. Le
- Tomas Mikolov
- Yann LeCun
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Alex Graves
Who trusts Soroush Vosoughi overall
- S. van der Linden
- Xinyi Zhou
- Gordon Pennycook
- Kai-Cheng Yang
- R. Maertens
- Mufan Luo
- Binny Mathew
- Federico Monti
- Jonathan Masci
- J. Roozenbeek
Papers from Soroush Vosoughi's perspective
Ordered by how strongly the researchers Soroush Vosoughi 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Language Models are Multilingual Chain-of-Thought Reasoners (2022) — 634 citations
- A Survey of Data Augmentation Approaches for NLP (2021) — 1,000 citations
- Mind's Eye: Grounded Language Model Reasoning through Simulation (2022) — 103 citations
- Data Boost: Text Data Augmentation through Reinforcement Learning Guided Conditional Generation (2020) — 115 citations
- Enhanced Offensive Language Detection Through Data Augmentation (2020) — 10 citations
- Text Augmentation in a Multi-Task View (2021) — 14 citations
- The spread of true and false news online (2018) — 7,469 citations
- A Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles (2021) — 34 citations
- Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits (2023) — 44 citations
- Mitigating Political Bias in Language Models Through Reinforced Calibration (2021) — 116 citations
- Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning (2021) — 66 citations