Alon Jacovi
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 8 papers; trusts 273 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 217 citations into it; #4,940 of 35,345 by trust here, #6,229 by citations
- Natural Language Processing — 112 citations into it; #1,237 of 5,688 by trust here, #1,926 by citations
- Safety, Robustness & Interpretability — 75 citations into it; #420 of 2,251 by trust here, #611 by citations
- Computer Vision and Pattern Recognition — 51 citations into it
- Large Language Models — 33 citations into it
- Evaluation & Benchmarks — 32 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Prompting & Reasoning — 11 citations into it
Whom Alon Jacovi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ronald J. Williams
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Richard Socher
- Kaiming He
- Sarthak Jain
Who trusts Alon Jacovi overall
- Sarah Wiegreffe
- Ana Marasovic
- Xi Ye
- Q. Liao
- Piyawat Lertvittayakumjorn
- Greg Durrett
- Swarnadeep Saha
- Michael Sejr Schlichtkrull
- Alicja Gosiewska
- Erico Tjoa
Papers from Alon Jacovi's perspective
Ordered by how strongly the researchers Alon Jacovi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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
- 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)
Their papers
- Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? (2020) — 897 citations
- Aligning Faithful Interpretations with their Social Attribution (2020) — 117 citations
- Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals (2020) — 281 citations
- Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI (2020) — 648 citations
- Understanding Convolutional Neural Networks for Text Classification (2018) — 243 citations
- A Comprehensive Evaluation of Tool-Assisted Generation Strategies (2023) — 11 citations
- Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data (2020) — 30 citations
- Learning and Understanding Different Categories of Sexism Using Convolutional Neural Network’s Filters (2019) — 22 citations