Shauli Ravfogel
Artificial Intelligence · with Goldberg · 2019–2021
A researcher in the Science corpus: 6 papers; trusts 203 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 198 citations into it; #5,933 of 35,345 by trust here, #5,317 by citations
- Natural Language Processing — 150 citations into it; #4,708 of 5,688 by trust here, #3,235 by citations
- Computer Vision and Pattern Recognition — 62 citations into it; #6,970 of 21,575 by trust here, #5,680 by citations
- Large Language Models — 44 citations into it; #228 of 799 by trust here, #493 by citations
- Representation & Self-Supervised Learning — 42 citations into it
- Evaluation & Benchmarks — 38 citations into it
- Safety, Robustness & Interpretability — 27 citations into it; #985 of 2,251 by trust here, #816 by citations
- Efficiency & Compression — 17 citations into it; #387 of 1,264 by trust here, #561 by citations
Whom Shauli Ravfogel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Yoav Goldberg
- Jimmy Ba
- Christopher D. Manning
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Tomas Mikolov
Who trusts Shauli Ravfogel overall
- Sunipa Dev
- Yi-Lin Sung
- Yanai Elazar
- Chi-Liang Liu
- Leonard Bereska
- Percy Liang
- Timo Schick
- Amir Feder
- Kevin Meng
- Yonatan Belinkov
Papers from Shauli Ravfogel's perspective
Ordered by how strongly the researchers Shauli Ravfogel trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- 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
- BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models (2021) — 1,812 citations
- Measuring and Improving Consistency in Pretrained Language Models (2021) — 487 citations
- Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection (2020) — 555 citations
- Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals (2020) — 281 citations
- Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages (2019) — 77 citations
- Unsupervised Distillation of Syntactic Information from Contextualized Word Representations (2020) — 13 citations